The PLASH project is a collection of sub-projects that investigate various topics, problems and algorithms about location aware services, human computation, software framework, routing, network performance, city profiling, data mining as well as traffic estimation and recommendations. The PLASH project involves the joint efforts of six research teams led by seven notable computing scientists and scholars from Academia Sinica. For more information about the PLASH project or sub-projects, please check the sub-projects section and open the links that you are interested in.
The recent advances in information and communication technologies (ICT) and the steep drop of hardware prices have triggered the rapid deployments of various wireless networks. The capability of CPE which has been greatly enhanced enables low-end PCs to be equipped with multiple radio interfaces. While voice services dominating the wireless service, the gradual gain in popularity of Internet access and multimedia services has boosted the wireless-related industry. The rapid expansion of network infrastructures in recent years, from GSM, GPRS, WiFi, EDGE, WCDMA to WiMAX and LTE, would not be sustainable if no new services were introduced to attract more users. Especially when the infrastructure upgrade is not likely due to various reasons, the introduction of new service to prosper the wireless and related industries becomes crucially important.
PLASH applies Web2.0 and human computation to consolidate the intelligence and efforts of the general public, which is the main difference with the traditional intelligent transportation system and location aware services. Human computation is the art of using massive groups of networked human/intelligent beings to solve problems that computers cannot. Therefore, the main concerns of design are different from the previous systems. In PLASH, users are also participators and contributors. PLASH will investigate the application of human computation in wireless services and demonstrate successful application.
The PLASH system consists of a three-layer framework and a number of associated applications:
This multi-layer design aims to simplify the complexity of the application system. As shown in the above figure, the platform includes a communication layer, a data layer, and a service layer. The Communication Layer composes various wireless technologies (e.g., WLAN, WiMax, and 3G) and communication structures (e.g, Vehicle to Infrastructure, Vehicle to Vehicle, or Vehicle to Mobile device). The Data Layer is responsible for data representation, storage and access. The Service Layer provides fundamental services/applications. This layered architecture allows application builders to conveniently create their systems by simple use API to access Service Layer. For more descriptions, please click on each of the items shown above.
There are currently six concurrent projects. Click on any of the blocks shown below to view detailed description and web site link of the corresponding project.
- Recommendation System with Human Computation
Principal Investigator: De-Nian Yang
- Real-time city route guidance
Principal Investigator: Meng Chang Chen
- Location Query System
Principal Investigators: Wang-Chien Lee, De-Nian Yang
- A Location-Aware System for Pictorial Summarization of Travel and Life Experience
Principal Investigator: Sheng-Wei Chen
- PLASH platform
Principal Investigators: Meng Chang Chen, Jan-Ming Ho
Principal Investigator: Ling-Jyh Chen
Latest newsView all news
Migrate all web services to docker+mesos environment (07/01/2016 03:18 PM)
Migrate all web services to docker+mesos environment,
main application will deploy by docker, but resource control is host by mesos.
Intern_2016 (07/01/2016 10:38 AM)
2016/7/1 ~ 2015/8/13
TTT Banquet and Closing Ceremony
陳孟彰教授(Prof. Chen) (email@example.com)...
- brian app (08/13/2015 08:46 PM)
Intern2015 (06/21/2015 12:49 PM)
Intern2015 websitePLASH Intern2015 Projects
- Intern 1 : Air Quality Station Location Recommendation
- Intern 2 : Fine-Grained Air Quality Forecast
- 2015/7/1 ~ 2015/8/14
- Prof. Chen (firstname.lastname@example.org)...
VA2 (Heat Wave Vulnerability Assessment) (06/16/2015 02:12 PM)
- Integrated Multi-source and High-resolution Taiwan Heat Wave Vulnerability Assessment
- Human Activity Recognition Supports for High-resolution Environmental Quality Information Retrieval...