11 research outputs found

    Workload Model Based Dynamic Adaptation of Social Internet of Vehicles

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    Social Internet of Things (SIoT) has gained much interest among different research groups in recent times. As a key member of a smart city, the vehicular domain of SIoT (SIoV) is also undergoing steep development. In the SIoV, vehicles work as sensor-hub to capture surrounding information using the in-vehicle and Smartphone sensors and later publish them for the consumers. A cloud centric cyber-physical system better describes the SIoV model where physical sensing-actuation process affects the cloud based service sharing or computation in a feedback loop or vice versa. The cyber based social relationship abstraction enables distributed, easily navigable and scalable peer-to-peer communication among the SIoV subsystems. These cyber-physical interactions involve a huge amount of data and it is difficult to form a real instance of the system to test the feasibility of SIoV applications. In this paper, we propose an analytical model to measure the workloads of various subsystems involved in the SIoV process. We present the basic model which is further extended to incorporate complex scenarios. We provide extensive simulation results for different parameter settings of the SIoV system. The findings of the analyses are further used to design example adaptation strategies for the SIoV subsystems which would foster deployment of intelligent transport systems

    Applying Online-based Publisher-Subscriber Network to Distribute Notice in Academic Institutions of Bangladesh

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    Notice delivery is an essential activity to distribute important information at different levels of academic institutions of Bangladesh. Most of the academic institutions in Bangladesh use central notice board or mail man to distribute paper based notice to different levels of stakeholders. Due to the lack of synchronization, many a time, stakeholders are not well informed about several activities and events that are planned in an institute. As a result, participation in non-academic activities does not demonstrate good development. In order to improve this issue, we propose an online based publisher-subscriber network to deliver notice to academic stakeholders of any institute. This application improves the usual model by introducing hierarchy based group wise notice dissemination as well as supports multimedia (i.e. text, pdf, image, video, audio, etc.) content delivery. We have developed the proposed system and applied it in a University setup to demonstrate the efficacy of the proposed model

    Controlling the Outbreak of COVID-19 : A Noncooperative Game Perspective

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    COVID-19 is a global epidemic. Till now, there is no remedy for this epidemic. However, isolation and social distancing are seemed to be effective preventive measures to control this pandemic. Therefore, in this article, an optimization problem is formulated that accommodates both isolation and social distancing features of the individuals. To promote social distancing, we solve the formulated problem by applying a noncooperative game that can provide an incentive for maintaining social distancing to prevent the spread of COVID-19. Furthermore, the sustainability of the lockdown policy is interpreted with the help of our proposed game-theoretic incentive model for maintaining social distancing where there exists a Nash equilibrium. Finally, we perform an extensive numerical analysis that shows the effectiveness of the proposed approach in terms of achieving the desired social-distancing to prevent the outbreak of the COVID-19 in a noncooperative environment. Numerical results show that the individual incentive increases more than 85% with an increasing percentage of home isolation from 25% to 100% for all considered scenarios. The numerical results also demonstrate that in a particular percentage of home isolation, the individual incentive decreases with an increasing number of individuals

    Post-discharge quality of life of COVID-19 patients at 1-month follow-up: A cross-sectional study in the largest tertiary care hospital of Bangladesh.

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    There is increasing evidence of the post-COVID-19 suffering and decreased quality of life in the COVID-19 patients. This study aimed to assess the quality of life and associated factors of COVID-19 patients at one month after discharge from the hospital. This was a cross-sectional study that was conducted at the post-covid clinic of Dhaka Medical College Hospital (DMCH) where RT-PCR-confirmed adult COVID-19 recovered patients were enrolled one month after discharge from the same hospital. They were consecutively selected from January 01 to May 30. A pretested semi-structured questionnaire was used for the data collection for clinical variables. The generic multi-attributable utility instrument EQ-5D-5L was used for assessing health-related quality of life (HRQoL). A total of 563 patients were enrolled in the study. The patients had a mean age with standard deviation (±SD) of 51.18 (±13.49) years and 55.95% were male. The mean (SD) EQ-5D-5L index score and EQ-VAS scores were 0.78 (±0.19) and 70.26 (±11.13), respectively. Overall, 45.77%, 50.99%, 52.79%, 55.14% and 62.16% had problems (slight to extreme) in the mobility, self-care, usual activities, pain/discomfort and anxiety/depression dimensions, respectively. Patients aged ≥60 years had significant problem in mobility (odds ratio [OR] 3.24, 95% confidence interval [CI]: 1.07-9.77). Female participants were 5.50 times (95% CI: 2.22-13.62) more likely to have problems in their usual activities. In comparison to urban area, living in a peri-urban setting was significantly associated with problems in mobility (OR 1.89, 95% CI: 1.13-3.20), pain/discomfort (OR 1.82, 95% CI: 1.04-3.12) and anxiety/depression (OR 2.16, 95% CI: 1.22-3.84). Comorbid patients were 1.75 times (95% CI: 1.07-2.85) more likely to report problems in the pain/discomfort dimension. Presence of symptom(s) was associated with problems in self-care (OR 3.27, 95%CI: 1.31-8.18), usual-activity (OR 3.08, 95%CI: 1.21-7.87), pain/discomfort dimensions (OR 2.75, 95%CI: 1.09-6.96) and anxiety/depression (OR 3.35, 95%CI: 1.35-8.30). Specific management strategies should be planned to address the factors associated with low health-related quality of life in post-acute care of COVID-19 patients

    Improving multisensory user experience through olfactory stimuli

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    More and more modern digital applications allow users to make experiences that elicit their senses. More traditional applications allow users to make visual and sound experiences. Recently, the sense of touch has been introduced to enrich the users’ experiences with digital worlds. The sense of smell is equally important for enriching and making the experiences engaging, but has been mostly neglected so far, mostly because of the limited knowledge about olfaction and of olfactory technologies. This chapter presents a methodology for the development of applications including multisensory user experiences based also on the sense of olfaction. The methodology has been used and tested for the development of applications in various sectors, which are reported in the chapter
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