Analysis and Simulation of Theme Park Queuing System

[[abstract]]It has been an important issue to improve customers’ satisfaction in theme parks for which become a major role of recreation in our daily life. Waiting for rides has been identified as a factor decreasing satisfaction. A previous study indicated that a virtual queuing system can reduce the total waiting time so the customer’s satisfaction is improved. The results from a simulation tool Arena show that an index Satisfaction Value (SV) increases when the queuing system is introduced. In this study, a more complex scenario of theme park queuing system (TPQS) is first designed, followed by comparison of a number of combinations of the rides with various waiting time and distribution factors. Analysis is also carried out.[[sponsorship]]早稻田大學; 高雄應用科技大學[[conferencetype]]國際[[conferencedate]]20140827[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]北九州市, 日

An Integrated Building Fire Evacuation System with RFID and Cloud Computing

[[abstract]]Building fire is a common disaster happening in our daily life that causes unfortunate casualties and deaths. Successfully escaping from fire depends on the design of evacuation route and time, as most of the damage of fire is caused due to lack of evacuation equipments or poor design of the emergency route. In this research work, we designed a hybrid building fire evacuation system (HBFES) on a mobile phone using Radio Frequency Identification (RFID) techniques and Cloud Computing. The system will be implemented at Tamkang University on Lanyang campus. Several existing computer or mobile phone applications, namely Viewpoint Calculator, Path planner, and MobiX3D viewer will be used on the system to rapidly calculate reliable evacuation routes when building fire takes place.[[notice]]補正完畢[[conferencetype]]國際[[conferencedate]]20111014~10111016[[ispeerreviewed]]Y[[booktype]]紙本 電子版[[iscallforpapers]]Y[[conferencelocation]]Dalian, China[[countrycodes]]CH

A Real-time Decision Support with Cloud Computing Based Fire Evacuation System

[[abstract]]An effective evacuation system can help people escape from building fire. Most evacuation systems consist of a indoor positioning system, a back-end database, and a display device with calculation and display software. However, very few of them can smartly determine which evacuation route is the best decision. If all the locations of the evacuating people can be simultaneously determined, the best evacuation routes can be decided to avoid congestion, and survival rate can increase. The previous radio frequency identification (RFID) based evacuation system focused on detecting the RFID tags using a mobile phone in order to determine the location of the mobile phone user so that an evacuation route can be displayed. However, the system is available for one person regardless of the number of evacuating people or exits. This study is based on the previous RFID based evacuation system investigating the best evacuation routes. The system introduces cloud computing that calculates for positioning the evacuating people and determining the optimum evacuation routes for each of them. The system will be implemented at Tamkang University on Lanyang campus.[[notice]]補正完畢[[conferencetype]]國際[[conferencedate]]20111024~20111026[[booktype]]紙本;電子版[[iscallforpapers]]Y[[conferencelocation]]Macao[[countrycodes]]MA

A Real-Time Fire Evacuation System with Cloud Computing

[[abstract]]An effective evacuation system can help people escape from building fire. Most evacuation systems consist of an indoor positioning system, a back-end database, and a display device with calculation and display software. However, very few of them can smartly determine which evacuation route is the best decision. If all the locations of the evacuating people can be simultaneously determined, the best evacuation routes can be decided to avoid congestion, and survival rate can increase. The previous radio frequency identification (RFID) based evacuation system focused on detecting the RFID tags using a mobile phone in order to determine the location of the mobile phone user so that an evacuation route can be displayed. However, the system is available for one person regardless of the number of evacuating people or exits. This study is based on the previous RFID based evacuation system investigating the best evacuation routes. The system introduces cloud computing that calculates for positioning the evacuating people and determining the optimum evacuation routes for each of them.[[journaltype]]國外[[incitationindex]]EI[[ispeerreviewed]]Y[[booktype]]紙本[[countrycodes]]KO

Team formation for collaborative learning with social network consideration based on edX's online discussion board

[[abstract]]Collaborative Learning (CL) along with the changing of the teaching environment, the way how students interact has also changed. The rise of Massive Open Online Courses (MOOCs) lets the teaching environment turn into online teaching. Deriving from MOOCs, Small Private Online Course (SPOC) incorporates the concept of Blended Learning (BL), which combines the advantage of MOOCs and face-to-face teaching. In this context, implies an enormous amount of consideration of group division factors and information volume when teachers organize groups. In the face of an unprecedented workload size, organizing groups manually is extremely time consuming and difficult for teachers. In this paper, we make use of the advantages of the conditions of SPOC, retrieving the social network of students on the online discussion board, then the heterogeneous division of groups based on academic results is the supplementary to do grouping. In addition, this paper makes use of edX, a representative platform of MOOCs, and develops the group division modules based on the format of the online discussion boards of the platform. Comparing with the way of grouping by students themselves in this context, the method which brought out by this paper do a better job in learning performance in spite of the satisfactions is worse.[[sponsorship]]IEEE[[sponsorship]]中央大學[[conferencetype]]國際[[conferencedate]]20150824~20150825[[ispeerreviewed]]Y[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Sri Lanka[[countrycodes]]othe