Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Canine pose estimation (3)
- Canine augmentation technology (2)
- Urban search and rescue (2)
- WiFi (2)
- AI (1)
-
- Accelerometer (1)
- Active learning (1)
- Benchmark testing (1)
- Bluetooth (1)
- CAT (1)
- Cellular IoT (1)
- Computing (1)
- Density functional theory (1)
- Emergency management computational public safety (1)
- Engagement (1)
- Healthcare (1)
- Heuristic optimization and search (1)
- Human computer interaction (1)
- Intent detection (1)
- Interruption (1)
- Jenga (1)
- LPWAN (1)
- Latency (1)
- Machine learning (1)
- Mesh network (1)
- Mobile cloud computing (1)
- Mobile health (1)
- N-grams (1)
- Natural language processing (1)
- Packet delivery ratio (1)
Articles 1 - 10 of 10
Full-Text Articles in Computer Engineering
Latency Of Concatenating Unlicensed Lpwan With Cellular Iot: An Experimental Qoe Study, Mouhamed Abdulla, Zohreh Motamedi, Alvin Ramoutar
Latency Of Concatenating Unlicensed Lpwan With Cellular Iot: An Experimental Qoe Study, Mouhamed Abdulla, Zohreh Motamedi, Alvin Ramoutar
Publications and Scholarship
Developing low-power wide-area network (LPWAN) solutions that are efficient to adopt, deploy and maintain are vital for smart cities. The poor quality-of-service of unlicensed LPWAN, and the high service cost of LTE-M/NB-IoT are key disadvantages of these technologies. Concatenating unlicensed with licensed LPWANs can overcome these limitations and harness their benefits. However, a concatenated LPWAN architecture will inevitably result in excess latency which may impact users’ quality-of-experience (QoE). To evaluate the real-life feasibility of this system, we first propose a concatenated LPWAN architecture and experimentally measure the statistics of end-to-end (E2E) latencies. The concatenated delay margin is determined by benchmarking …
Towards Better Remote Healthcare Experiences: An Mhealth Video Conferencing System For Improving Healthcare Outcomes, El Sayed Mahmoud, Edward Sykes, Blake Eram, Sandy Schwenger, Jimmy Poulin, Mark Cheers
Towards Better Remote Healthcare Experiences: An Mhealth Video Conferencing System For Improving Healthcare Outcomes, El Sayed Mahmoud, Edward Sykes, Blake Eram, Sandy Schwenger, Jimmy Poulin, Mark Cheers
Publications and Scholarship
This work investigated how to combine mobile cloud computing, video conferencing and user interface design principles to promote the effectiveness and the ease of using online healthcare appointment platforms. The Jitsi Meet video conference technology was selected from amongst 27 competing systems based on efficiency and security criteria. This platform was used as the foundation on which we designed, developed and evaluated of our video conferencing system specially designed for improving doctor-patient interaction and experiences. Nine doctor- patient functions were developed in order to facilitate efficient and effective online healthcare appointments, such as providing the doctor with the ability to …
Reasoning About Ideal Interruptible Moments: A Soft Computing Implementation Of An Interruption Classifier In Free-Form Task Environments, Edward R. Sykes
Reasoning About Ideal Interruptible Moments: A Soft Computing Implementation Of An Interruption Classifier In Free-Form Task Environments, Edward R. Sykes
Publications and Scholarship
Current trends in society and technology make the concept of interruption a central human computer interaction problem. In this work, a novel soft computing implementation for an Interruption Classifier was designed, developed and evaluated that draws from a user model and real-time observations of the user's actions as s/he works on computer-based tasks to determine ideal times to interact with the user. This research is timely as the number of interruptions people experience daily has grown considerably over the last decade. Thus, systems are needed to manage interruptions by reasoning about ideal timings of interactions. This research shows: (1) the …
Intent Detection Through Text Mining And Analysis, Samantha Akulick, El Sayed Mahmoud
Intent Detection Through Text Mining And Analysis, Samantha Akulick, El Sayed Mahmoud
Publications and Scholarship
The article is about the work investigated using n-grams, parts-Of-Speech and Support Vector machines for detecting the customer intents in the user generated contents. The work demonstrated a system of categorization of customer intents that is concise and useful for business purposes. We examined possible sources of text posts to be analyzed using three text mining algorithms. We presented the three algorithms and the results of testing them in detecting different six intents. This work established that intent detection can be performed on text posts with approximately 61% accuracy.
An Engagement Strategy For Teaching Computing Concepts, El Sayed Mahmoud
An Engagement Strategy For Teaching Computing Concepts, El Sayed Mahmoud
Publications and Scholarship
The research work in this paper investigates a new teaching strategy that uses active learning through play to increase students’ uptake of learning computing concepts. The strategy promotes student engagement through playing a customized Jenga game. The game consists of a set of blocks, one side of each block is covered with a piece of dry-erase tape to allow erasing and writing on the blocks. This allows instructors to reuse this editable Jenga for developing their own game-based learning activities. The editable Jenga can be used without writing if needed. Three sample activities with writing have been developed and conducted …
The Severity Of Undetected Ambiguity In Software Engineering Requirements, Cristina Ribeiro
The Severity Of Undetected Ambiguity In Software Engineering Requirements, Cristina Ribeiro
Publications and Scholarship
Users searching the Internet for news are not able to find relevant fact-based results for certain queries using the major search engines. Queries that require exact substring matching in order to obtain very relevant results are not currently possible. Furthermore, search engines do not discriminate in returning results that are opinions and not quantifiable facts. Our sentence level search engine, News Fact Finder, is designed using suffix arrays, filters out opinions, and produces very relevant results that are attractive to users. The News Fact Finder produces a 73% success rate of providing relevant fact based results. Keywords:
Wireless Mesh Network Performance For Urban Search And Rescue Missions, Cristina Ribeiro, Alexander Ferworn, Jimmy Tran, Mieso Denko
Wireless Mesh Network Performance For Urban Search And Rescue Missions, Cristina Ribeiro, Alexander Ferworn, Jimmy Tran, Mieso Denko
Publications and Scholarship
in this paper we demonstrate that the Canine Pose Estimation (CPE) system can provide a reliable estimate for some poses and when coupled with effective wireless transmission over a mesh network. Pose estimates are time sensitive, thus it is important that pose data arrives at its destination quickly. Propagation delay and packet delivery ratio measuring algorithms were developed and used to appraise Wireless Mesh Network (WMN) performance as a means of carriage for this time-critical data. The experiments were conducted in the rooms of a building where the radio characteristics closely resembled those of a partially collapsed building-a typical US&R …
Computational Public Safety In Emergency Management Communications, Cristina Ribeiro, Alexander Ferworn
Computational Public Safety In Emergency Management Communications, Cristina Ribeiro, Alexander Ferworn
Publications and Scholarship
Communications are very important in any situation but in emergency management it is imperative that the communications be reliable and responsive to the evolving situation. In emergency management there are many different types of networks with different objectives. It is of immense value to have the ability to seamlessly integrate other networks and computing resources into one interconnected heterogeneous network. The entire management team should be able to access any of the individual networks and their resources. In this paper we discuss various wireless network communication options in the context of their viability for use in emergency management. We analyze …
Canine Pose Estimation: A Computing For Public Safety Solution, Cristina Ribeiro, Alexander Ferworn, Mieso Denko, James Tran
Canine Pose Estimation: A Computing For Public Safety Solution, Cristina Ribeiro, Alexander Ferworn, Mieso Denko, James Tran
Publications and Scholarship
In this paper we discuss determining canine pose in the context of common poses observed in Urban Search and Rescue dogs through the use a sensor network made up of accelerometers. We discuss the use of the Canine Pose Estimation System in a disaster environment, and propose techniques for determining canine pose. In addition we discuss the challenges with this approach in such environments. This paper presents the experimental results obtained from the Heavy Urban Search and Rescue disaster simulation, where experiments were conducted using multiple canines, which show that angles can be derived from acceleration readings. Our experiments show …
Enhancing Canine Disaster Search, James Tran, Alexander Ferworn, Cristina Ribeiro, Mieso Denko
Enhancing Canine Disaster Search, James Tran, Alexander Ferworn, Cristina Ribeiro, Mieso Denko
Publications and Scholarship
This paper describes canine augmentation technology (CAT) for use in urban search and rescue (USAR). CAT is a WiFi enabled sensor array that is worn by a trained canines deployed in urban disasters. The system includes, but is not limited to, cameras that provide emergency responders with real-time data to remotely monitor, analyze and take action during USAR operations. An analysis is made of the current tools available to USAR workers including rescue robots and canine search teams. From this analysis came the design of CAT-a system that extracts the strengths of each available USAR tool and combines them to …