Bius cafe and restaurant terletak di Jl. Bunga Cengkeh 22 Kav 3&4 Tulusrejo Kec. Lowokwaru Malang ini merupakan salah satu tempat yang wajib untuk dikunjungi jika anda berada di Kota Malang ini. Tempatnya yang instagramable dengan interior yang minimalis rasanya nggak ada alasan untuk tidak berkunjung kesini. Apalahi harga menu makanan yang ditawarkan di Bius cafe and resteurant ini cukup terjangkau.
Bius cafe and restaurant terletak di Jl. Bunga Cengkeh 22 Kav 3&4 Tulusrejo Kec. Lowokwaru Malang ini merupakan salah satu tempat yang wajib untuk dikunjungi jika anda berada di Kota Malang ini. Tempatnya yang instagramable dengan interior yang minimalis rasanya nggak ada alasan untuk tidak berkunjung kesini. Apalahi harga menu makanan yang ditawarkan di Bius cafe and resteurant ini cukup terjangkau.
A Location-Aware Architecture Supporting Intelligent Real-time Mobile Applica...Sean Barbeau
My Ph.D. dissertation defense! :)
With the number of Global Positioning System (GPS)-enabled mobile phones rapidly increasing due to maturing positioning technologies, intelligent location-aware applications are poised to become the next innovation in mobile phones. However, innovations bring new challenges. As cellular data networks achieve broadband speeds, constrained device resources (e.g. battery life) replace bandwidth as a primary limiting factor for mobile applications. IP-based networking protocols, now widely available in Java Micro Edition devices, must be carefully integrated into existing architectures to meet application needs and maximize system efficiency. Evolving location-aware architectures require intelligent clients for low-latency real-time applications and efficient management of device resources, as well as server-side intelligence to analyze past user behavior. This paper expands previous work on location-aware architectures and presents Location-Aware Information Systems Client (LAISYC), a comprehensive location-aware framework supporting intelligent real-time mobile applications.
Short version is in this IEEE Pervasive Computing publication:
http://bit.ly/IEEE_Per_Com_LAISYC
Full dissertation:
http://bit.ly/BarbeauDissertation
TRB 2014 - Automatic Spatial-temporal Identification of Points of Interest in...Sean Barbeau
Presented at the Transportation Research Board 2014 meeting - Past research in travel surveys has shown that a GPS mobile phone-based survey is a useful tool for collecting information about individuals. While a passive travel survey collection is preferred to an active travel survey method, passive collection remains a challenge due to a lack of high accuracy algorithms to automatically identify trip starts and trip ends. This paper presents Automatic Spatial Temporal Identication of Points of Interest (ASTIPI), an unsupervised spatial temporal algorithm to identify POIs. ASTIPI utilizes the temporal and spatial properties of the dataset to obtain a high accuracy of POI identication, even on a reduced GPS dataset that uses techniques to conserve battery life on mobile devices. While reducing outliers within POIs, ASTIPI also has a linear running time and maintains the temporal orders of the location data so that arrival and departure information can be easily extracted and thus, users' trips can be quickly identied. Using real data from mobile devices,evaluations of ASTIPI and other existing algorithms are performed, showing that ASTIPI obtains the highest accuracy of POI identication with an average accuracy of 88% when performing on full datasets generated using the GPS Auto-Sleep module and an average accuracy of 59% when performing on reduced datasets generated using both the GPS Auto-Sleep module and the Critical Points algorithm.
(C) 2014 USF, Patent Pending
2012 National Academy of Inventors - GPS Auto-Sleep for Energy-Efficient Loca...Sean Barbeau
Description of a software technique and real-world benchmarks for mobile application developers that can significantly reduce the impact of the use of GPS on a mobile device's battery life.
2011 ITS World Congress - TAD - Travel Assistance Mobile App to Help Transit ...Sean Barbeau
A discussion of the first real-time transit navigation app that was created to help transit riders with intellectual disabilities use public transportation.
ACT 2011 - Emerging Worksite Trip-Reduction Information ToolsSean Barbeau
New technologies, such as OpenTripPlanner (http://opentripplanner.org), are emerging to to help employers reduce work trips made by employees. This presentation discusses these new technologies.
2010 USDOT FHWA Travel Model Improvement Program (TMIP) National Webinar on D...Sean Barbeau
Discussion of mobile devices and mobile applications as an opportunity for collecting travel behavior data. Benchmarking results of the potential implications of the use of GPS on battery life and data transfer are presented, as well as data analysis techniques.
2013 USF Research That Matters Conference - OneBusAway – Sharing Real-time Tr...Sean Barbeau
Presentation with HART at 2013 USF Research That Matters conference, discussing the launch of OneBusAway Tampa (http://tampa.onebusaway.org) and the collaborations between USF, Georgia Tech, and HART that made it possible.
A Location-Aware Architecture Supporting Intelligent Real-time Mobile Applica...Sean Barbeau
My Ph.D. dissertation defense! :)
With the number of Global Positioning System (GPS)-enabled mobile phones rapidly increasing due to maturing positioning technologies, intelligent location-aware applications are poised to become the next innovation in mobile phones. However, innovations bring new challenges. As cellular data networks achieve broadband speeds, constrained device resources (e.g. battery life) replace bandwidth as a primary limiting factor for mobile applications. IP-based networking protocols, now widely available in Java Micro Edition devices, must be carefully integrated into existing architectures to meet application needs and maximize system efficiency. Evolving location-aware architectures require intelligent clients for low-latency real-time applications and efficient management of device resources, as well as server-side intelligence to analyze past user behavior. This paper expands previous work on location-aware architectures and presents Location-Aware Information Systems Client (LAISYC), a comprehensive location-aware framework supporting intelligent real-time mobile applications.
Short version is in this IEEE Pervasive Computing publication:
http://bit.ly/IEEE_Per_Com_LAISYC
Full dissertation:
http://bit.ly/BarbeauDissertation
TRB 2014 - Automatic Spatial-temporal Identification of Points of Interest in...Sean Barbeau
Presented at the Transportation Research Board 2014 meeting - Past research in travel surveys has shown that a GPS mobile phone-based survey is a useful tool for collecting information about individuals. While a passive travel survey collection is preferred to an active travel survey method, passive collection remains a challenge due to a lack of high accuracy algorithms to automatically identify trip starts and trip ends. This paper presents Automatic Spatial Temporal Identication of Points of Interest (ASTIPI), an unsupervised spatial temporal algorithm to identify POIs. ASTIPI utilizes the temporal and spatial properties of the dataset to obtain a high accuracy of POI identication, even on a reduced GPS dataset that uses techniques to conserve battery life on mobile devices. While reducing outliers within POIs, ASTIPI also has a linear running time and maintains the temporal orders of the location data so that arrival and departure information can be easily extracted and thus, users' trips can be quickly identied. Using real data from mobile devices,evaluations of ASTIPI and other existing algorithms are performed, showing that ASTIPI obtains the highest accuracy of POI identication with an average accuracy of 88% when performing on full datasets generated using the GPS Auto-Sleep module and an average accuracy of 59% when performing on reduced datasets generated using both the GPS Auto-Sleep module and the Critical Points algorithm.
(C) 2014 USF, Patent Pending
2012 National Academy of Inventors - GPS Auto-Sleep for Energy-Efficient Loca...Sean Barbeau
Description of a software technique and real-world benchmarks for mobile application developers that can significantly reduce the impact of the use of GPS on a mobile device's battery life.
2011 ITS World Congress - TAD - Travel Assistance Mobile App to Help Transit ...Sean Barbeau
A discussion of the first real-time transit navigation app that was created to help transit riders with intellectual disabilities use public transportation.
ACT 2011 - Emerging Worksite Trip-Reduction Information ToolsSean Barbeau
New technologies, such as OpenTripPlanner (http://opentripplanner.org), are emerging to to help employers reduce work trips made by employees. This presentation discusses these new technologies.
2010 USDOT FHWA Travel Model Improvement Program (TMIP) National Webinar on D...Sean Barbeau
Discussion of mobile devices and mobile applications as an opportunity for collecting travel behavior data. Benchmarking results of the potential implications of the use of GPS on battery life and data transfer are presented, as well as data analysis techniques.
2013 USF Research That Matters Conference - OneBusAway – Sharing Real-time Tr...Sean Barbeau
Presentation with HART at 2013 USF Research That Matters conference, discussing the launch of OneBusAway Tampa (http://tampa.onebusaway.org) and the collaborations between USF, Georgia Tech, and HART that made it possible.
2009 Sprint Developers Conference - Location Based Services - Best Practices ...Sean Barbeau
Discussion of various aspects of mobile app development surrounding location-based services, including intelligent use of GPS to conserve battery life and reducing network data transfer.
This project developed a prototype system that can serve as a modern high-tech “Neighborhood Watch” enabling law enforcement officials access to the many “eyes and ears” of the public. Cell phones with embedded digital cameras allow the instant capture and remote submission of suspicious circumstances through pictures or video to authorities that may warrant further attention or action by law enforcement. Not only does this give the responding party a visual representation of the situation, but other information such as time, date, voice recordings, and physical location of the reporting party in Global Positioning System (GPS) coordinates can also be automatically attached to the report. Upon submission, the picture or video and other information is automatically processed and displayed on a map-based web page to give the dispatcher a real-time “birds-eye” view of incoming alerts. The system intelligently filters and organizes submissions so they can be efficiently managed, therefore allowing the dispatcher to handle many more submissions simultaneously identifying trends and patterns that may not be immediately obvious to a human observer.
Screenshot of WiVia website showing ability to send multimedia messages to phones based on their location
Another aspect of the system is its “reverse 911” component for data-enabled mobile phones. When a threat to the public or individuals is identified, the dispatcher could instantly relay a message to individuals with cell phones or PDAs in a certain geographic area. Examples of such information could be the need to evacuate a particular area (e.g., hurricane) where the real-time control of when, where, and to whom such information is disseminated. Another example is distributing an Amber Alert photo of a missing child to the geographic area where the child was last seen. The project team has successfully implemented a prototype application that runs on a cell phone, reports the position of the phone to the server, and then, based on calculations against a Hillsborough County map, returns a text message to the phone with information on the hurricane evacuation zone that the individual is currently located in (i.e “You are in Evacuation Zone C, which is currently under a mandatory evacuation order”).