Fakhreddine Karray

Bio: Fakhreddine Karray is an academic researcher from University of Waterloo. The author has contributed to research in topics: Fuzzy logic & Language model. The author has an hindex of 23, co-authored 74 publications receiving 3765 citations.

Human-Computer Interaction: Overview on State of the Art

Abstract: The intention of this paper is to provide an overview on the subject of Human-Computer Interaction. The overview includes the basic definitions and terminology, a survey of existing technologies and recent advances in the field, common architectures used in the design of HCI systems which includes unimodal and multimodal configurations, and finally the applications of HCI. This paper also offers a comprehensive number of references for each concept, method, and application in the HCI.

Vehicle visual and non-visual data recording system

Abstract: The system described in this invention can be used for monitoring and analyzing real time visual and non-visual information pertaining to the occupant, vehicle, and surroundings prior to, during and post eccentric operating conditions for a given period of time The system stores vehicle and occupant data from sensors throughout the vehicle and also makes use of existing vehicle sensors that may already be present in the vehicle The invention also includes a video recording module that makes use of a fish-eye camera to capture video from the inside and the outside of the vehicle Real-time data analysis is performed to detect and to recognize vehicle occupants, and recognize impending eccentric events Vehicle, occupant, and video data are stored in circular buffers When an eccentric event, a collision for example, has been detected, the device continues to record data and video for a fixed period of time Once this time has elapsed, the data is transferred from volatile to non-volatile memory for later retrieval A computer may be used to retrieve and display the vehicle and occupant data in a synchronization with the video data for the purposes of accident recreation, driver or vehicle monitoring

Improving Traffic Flow Prediction with Weather Information in Connected Cars: A Deep Learning Approach

Abstract: Transportation systems might be heavily affected by factors such as accidents and weather. Specifically, inclement weather conditions may have a drastic impact on travel time and traffic flow. This study has two objectives: first, to investigate a correlation between weather parameters and traffic flow and, second, to improve traffic flow prediction by proposing a novel holistic architecture. It incorporates deep belief networks for traffic and weather prediction and decision-level data fusion scheme to enhance prediction accuracy using weather conditions. The experimental results, using traffic and weather data originated from the San Francisco Bay Area of California, corroborate the effectiveness of the proposed approach compared with the state of the art.

Knowledge-based flexible natural speech dialogue system

Abstract: A knowledge-based natural speech dialogue system includes: (i) a knowledge support system, (ii) a flexible dialogue control system, and (iii) a context information system. Flexibilities of the conversation structure, inherent in mixed-initiative mode for dealing with complex user request, are managed because the knowledge structures involved are represented by additional, powerful knowledge representation tools, and because the context information is retained by more specific data structures, which covers larger temporal scopes by the logic of the conversation, rather than by a fixed locality of the grammar flow. This system provides a simple yet reliable method to compensate for these factors to enable more powerful conversation engines with mixed-initiative capabilities.

Coverage control for mobile sensing networks

Abstract: This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies. The resulting closed-loop behavior is adaptive, distributed, asynchronous, and verifiably correct.

Intelligent Automated Assistant

Abstract: An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Systems and methods for responding to natural language speech utterance

Abstract: Systems and methods are provided for receiving speech and non-speech communications of natural language questions and/or commands, transcribing the speech and non-speech communications to textual messages, and executing the questions and/or commands. The invention applies context, prior information, domain knowledge, and user specific profile data to achieve a natural environment for one or more users presenting questions or commands across multiple domains. The systems and methods creates, stores and uses extensive personal profile information for each user, thereby improving the reliability of determining the context of the speech and non-speech communications and presenting the expected results for a particular question or command.