The general objective of this study is to create an application that interprets some defined gestures and postures as input commands using Kinect.
Malware (malicious software) are threats to com- puter systems that may access, change or even delete data. Anti-viruses have been the front-line defense of our systems against these viruses. As time goes by, viruses are becoming more and more difficult to detect because of their increasing virus signatures. In this study, the open source anti-virus, ClamAV, was optimized by utilizing the GPU of a system. With the use of Compute Unified Device Architecture (CUDA), the GPU was utilized to parallelize the initialization of virus signatures in the scanning of files. A small part of the open source code of ClamAV was modified and it resulted in a 7-15% increase speedup of scanning non-infected and infected files.
Current version control systems are available but due to their complexity, only a minimal number of computer science and information technology students use version control systems in their projects. Students tend to rely on the traditional “code-individually, combine-later” scenario. Tree-like structure of files is also provided for the users to visualize and monitor the current status of the files that they are working on.
Configuration management and monitoring are essential tasks in system administration. Though there are many open source tools that do these kinds of jobs, there are not many that do both. In this study, the open- source tools mentioned were leveraged to make a system or architecture that addresses the issue.
In the Philippines, disasters happen unexpectedly. A need for better and faster reporting to the government and to the people concerned is high. Social media makes information widespread by providing tools that lets people easily share information to the public. Statistics show that Filipinos use Facebook as their main social networking site. Given the problem and the technology, an application is created to fulfill the need for a coordinated system during disasters. The application combines the power of Google Maps, Facebook, and the concept of Crowdsourcing.
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