@conference {543, title = {Cyber-Physiotherapy: Rehabilitation to Training}, booktitle = {2021 IFIP/IEEE International Symposium on Integrated Network Management (IM)}, year = {2021}, publisher = {IEEE}, organization = {IEEE}, address = {Bordeaux, France}, abstract = {

Cutting-edge Human-Computer Interaction (HCI) technologies embedded with Machine Learning (ML) will cause a paradigm shift in various domains, including manufacturing and developing facilities and services for professional and personal use. ML implemented HCIs can help people overcome societal challenges brought about by the COVID-19 pandemic. We introduce a system for people to perform physical exercises at home. This system is intended to help a range of demographics, from non-critical physical therapy patients to experienced weightlifters. More specifically, we propose a method to assess the difficulty of an exercise for visual exercise tracking systems. Pose estimation tracks exercises and reinforcement learning provides autonomous feedback to the user (patient/athlete). This information is processed largely on the client side, allowing the application to run smoothly anywhere in the world.

}, keywords = {Fitts{\textquoteright}s law, Human-Computer Interaction, Index of Difficulty, Pose Estimation, Reinforcement Learning}, isbn = {978-3-903176-32-4}, url = {https://ieeexplore.ieee.org/abstract/document/9464036}, author = {Ranasinghe, Ishan and Dantu, Ram and Albert, Mark V. and Watts, Sam and Ocana, Ruben} } @article {47, title = {HIPAA: Securing Medical Networks}, journal = {Network Security}, volume = {2007}, year = {2007}, pages = {13{\textendash}16}, abstract = {

The Health Information Portability and Accountability Act of 1996 (HIPAA) imposes strict regulations on healthcare institutions and commercial vendors to indemnify clinical data against unscrupulous users. Security vulnerabilities concerning hospital information systems not only negatively impact patient healthcare, but may also represent a potential federal violation. For a comprehensive understanding of the security of a radiology communication network, a detailed survey of the Picture Archiving and Communication Systems (PACS) was compiled. In this paper, we present survey results and a set of recommendations for implementing PACS security.

}, issn = {1353-4858}, doi = {10.1016/S1353-4858(07)70055-7}, url = {http://dx.doi.org/10.1016/S1353-4858(07)70055-7}, author = {Ram Dantu and Oosterwijk, Herman and Kolan, Prakash and Husna, Husain} } @article {294, title = {System and method for packet level restoration of IP traffic using overhead signaling in a fiber optic ring network}, year = {2007}, month = {01/2007}, publisher = {Alcatel SA}, address = {US}, abstract = {

An apparatus and a method for forwarding data packets through a fiber optic ring network includes forwarding data packets on a packet by packet basis. A node on the fiber optic ring network decides on a packet by packet basis whether to transmit on the working or protection path. Because this decision is being made on a packet level, reservation of throughput resources no longer is made at a one to one ratio. Rather, protection path resources are reserved at a ratio significantly less than one to one. In one embodiment, no resources are reserved for path restoration or protection path routing. Rather, quality of service provisioning is used to resolve interference situations wherein instantaneous demand exceeds capacity. A node evaluates ring conditions in relation to the demand of traffic resources and the relative quality of service ratings to determine whether and how to forward a packet. Additionally, a node decides whether to use the working or protection path by considering the final destination on the fiber optic ring network, any identified ring conditions and, in some embodiments, quality of service. The ring conditions to which the inventive nodes respond include OSI layer 1, layer 2 and layer 3 conditions.

}, keywords = {fiber, network, node, optic, ring}, issn = {US7167443B1}, url = {https://patents.google.com/patent/US7167443/en}, author = {Ram Dantu and Ester, Gary and O{\textquoteright}Connell, Pete} } @article {192, title = {Top Ten Recommendations for PACS Security Implementation}, year = {2005}, month = {03/2005}, author = {Ram Dantu and Oosterwijk, Herman} } @conference {48, title = {Data centric modeling of environmental sensor networks}, booktitle = {Global Telecommunications Conference Workshops, 2004. GlobeCom Workshops 2004. IEEE}, year = {2004}, month = {Nov}, abstract = {

Meteorological and hydrological sensors deployed over several hundred kilometers of geographical area comprise an environmental sensor network. Large amounts of data need to be processed in minimal time and transmitted over the available low speed and low bandwidth links. This paper describes algorithms for optimal data collection and data fusion. An inductive model using exponential back-off policy is used to collect optimal amount of data. The data measurements for temperature, pH and specific conductance collected for a year from the sensors deployed at Lake Lewisville are used to test the inductive model. Energy savings of 90\% are achieved even with 1\% of degree of tolerance. The problem of data fusion is addressed by the introduction of a novel concept of a super-sensor, based on self-organization and collaboration among sensors. A histogram application is described that uses recursive doubling for global collaboration between sensors. The performance of the networked super-sensor in comparison to a centralized polling approach is analyzed for optimality on two different geographical areas.

}, keywords = {Bandwidth, biosensors, data centric modeling, data fusion, environmental sensor network, exponential back-off policy, Histograms, hydrological sensor, International collaboration, Lakes, meteorological, Meteorology, networked super-sensor, optimal data collection, sensor fusion, Sensor phenomena and characterization, Temperature measurement, temperature sensors, Testing}, doi = {10.1109/GLOCOMW.2004.1417621}, author = {Ram Dantu and Abbas, Kaja and O{\textquoteright}Neill, Marty and Mikler, Armin} } @article {188, title = {Survey on Hospital Network Security and Privacy}, year = {2004}, month = {08/2004}, publisher = {Barco Ltd}, author = {Ram Dantu and Oosterwijk, Herman} } @article {299, title = {System and method for packet level distributed routing in fiber optic rings}, year = {2001}, month = {03/2001}, publisher = {Alcatel USA Sourcing LP}, abstract = {

IP user traffic is transporting over a fiber optic ring network that includes a plurality of fiber optic ring network nodes. One (108) ring is for conducting the user traffic on a working path and the other ring (110) is for conducting the same user traffic on a protection path in the event of a failure in a communication link in the first ring on a protection path. A central node (300) is coupled to a plurality of nodes (312, 316, 320) to provide forwarding tables and updates to the nodes (312, 316, 320). As a result, IP traffic may be routed through the fiber optic ring network in a manner that provides fast switching from a working path to a protection path to minimize lost data packets whenever a communication link in the working path fails. Additionally, this capability is provided without requiring each node to have full IP routing capability. The forwarding tables (308) for the protection and working paths provide for path routes and forwarding for the packets on a packet by packet basis. Accordingly, a ring may serve as both a working path and a protection path according to the origin and destination of the data packets traveling thereon. Additionally, the central node (300) is adapted to generate multiple forwarding tables (308) to accommodate packet by packet forwarding in a network created to support virtual private networks. The forwarding tables (308) also are set up to support multicast transmissions of data packets.

}, issn = {EP1083696 (A2)}, url = {https://worldwide.espacenet.com/publicationDetails/biblio?FT=D\&date=20010314\&DB=\&locale=en_EP\&CC=EP\&NR=1083696A2\&KC=A2\&ND=4}, author = {Ram Dantu and O{\textquoteright}Connell, Pete} }