Code Shoppy Projects

 Power Consumption in  Android Devices - CodeShoppy Android OS has a function with which an application can work in screen-off state without user's operation. In this paper, we propose a method for identifying applications which largely drain battery in Screen-off state in Android devices. We monitor the wake-up of Android devices and estimate the power consumption of each application based on the monitoring results. Our experimental results demonstrate that our method can identify power draining applications effectively.   Android devices in screen-off state will go into sleep state without operation. In sleep state, CPU processing, display emitting, and communication are highly restricted. By the restriction, power consumption is significantly saved.     ransition to sleep state may prevent application from correct working. In order to avoid this prevention, Android OS has WakeLock function, which forbids a device to go into sleep state.

 Dynamic Machine Translation of Croatian Academic Web Sites - CodeShoppy Web sites internationalization of Croatian web sites is a problem remained from the beginnings of web. In most cases, only some general information that are rarely changed are available in foreign languages, and the reason for that is the lack of human resources to make translations, as well as the need of software adaptations to support multilingualism. This paper analyses some lexical characteristics of the selected Croatian academic web sites, compared with some other, like daily newspapers and culinary web sites in order to find out their suitability for machine translation. The findings are compared to the actual state of our dynamic translation system for web contents, named as Domain Translator.   Interaction of the System Usually, pure e-commerce website only one way interaction even no feedback from both seller and buyer, while social commerce is focus on social interactio

 Web Application Based on Reinforcement Learning - Codeshoppy   In Web service enabled networks, typically a client program first locates a Web service server that can satisfy certain requests from a yellow page (UDDI) and obtain a detailed specification (WSDL) about the service. Then, using the known API in the specification, the client sends a request to the Web service considered via a standard message protocol (SOAP), and in return, it receives a response from the service. Web services are self-explanatory; by interpret- ing XML tags, applications can understand the semantics of operations. In particular, a problem of practical interest concerns the following two issues. Given a request r , among thousands of candidate Web services found in UDDI: 1) how we can find matching services that satisfy r and 2) how we can compose multiple services to satisfy r when a matching service does not exist. Consider the four Web services in Table 1, as illustrated in WSDL notation: To fulfill r 1

 Composite web Services Based on  Webapplication - codeshoppy The main research focus of Web services is to achieve the interoperability between distributed and heterogeneous applications. Therefore, flexible composition of Web services to fulfill the given challenging requirements is one of the most important objectives in this research field. However, until now, service composition has been largely an error-prone and tedious process. Furthermore, as the number of available web services increases, finding the right Web services to satisfy the given goal becomes intractable. In this paper, toward these issues, we propose an AI planning-based framework that enables the automatic composition of Web services, and explore the following issues. First, we formulate the Web-service composition problem in terms of AI planning and network optimization problems to investigate its complexity in detail. Second, we analyze publicly available Web service sets using network analysis tech