Publications by authors named "Ramiro Liscano"

Article Synopsis
  • The Internet of Things (IoT) has gained traction in industrial settings, requiring low latency and high reliability, prompting the development of the IEEE 802.15.4e standard with a new MAC protocol called Time Slotted Channel Hopping (TSCH).
  • This paper presents a new optimization algorithm, QoS-aware Multi-objective enhanced Differential Evolution optimization (QMDE), aimed at effectively managing Quality of Service (QoS) metrics like delay and packet loss in heterogeneous networks.
  • Through simulations using TSCH-SIM and Matlab, the study demonstrates that QMDE outperforms existing scheduling methods, significantly improving Packet Delivery Ratio (PDR) and delay in various sensor network scenarios for industrial applications.
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The Time-Slotted Channel Hopping (TSCH) protocol is known for its suitability in highly reliable applications within industrial wireless sensor networks. One of the most significant challenges in TSCH is determining a schedule with a minimal slotframe size that can meet the required throughput for a heterogeneous network. We proposed a Priority-based Customized Differential Evolution (PCDE) algorithm based on the determination of a collision- and interference-free transmission graph.

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This paper presents findings from a qualitative study conducted in Ontario, Canada, exploring healthcare professionals' perceptions of barriers and solutions for implementing Web-Based Reminiscence Therapy (WBRT) in an institutionalized settings for dementia care during the COVID-19 pandemic. The study identified five major barriers, including the lack of on-boarding/educational training, need for technology availability and technical support, limited attention span of persons with dementia (PWD), availability of multi-sensory features, and time constraints due to staff workload. Seven major themes emerged related to proposed solutions/suggestions: (1) involving younger generations, (2) focusing on technology training, (3) integrating with other digital platforms, (4) adding narratives/descriptions to recollect memories, (5) ensuring accessibility, (6) adding QR codes for retrieving information, and (7) combining digital/traditional reminiscence methods.

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Background: Reminiscence therapy (RT) is the most common non-pharmacological treatment for dementia care. The therapy stimulates the senses to evoke memories having the potential to reduce Behavioral and Psychological Symptoms of Dementia (BPSD). Digital RT, such as web-based reminiscence therapy (WBRT), has the potential to support dementia care and reduce the caregiving burden.

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