AN OPTIMIZED DESIGN MODELLING OF A NEURAL NETWORK BASED GREEN HOUSE MANAGEMENT SYSTEM USING SOLAR AND RECTIFYING ANTENNA

The renewable energy resources are widely used in various real time applications, which utilized the solar, wind, fuel cell, etc. From this, the energy management and controlling strategy improves the results. The conventional approach uses Quantum Tunneling PSO for optimization and it is managed with various utility on power grid system. The work utilized the solar and EM waves for energy management scheme and it utilized the controlling parameter by optimization algorithm. The drawback of conventional method is that, the hybrid system utilization and switching is performed with random selection and it not capable for hybrid resources of multiple array functioning. The proposed research work performed with the solar with MPPT tracking and EM with rectenna are utilized and with the help of neural network model, the PV and RF signal generations are stored as array and based on the switching duty cycle from the function of proposed particle swarm optimization, the boost converter act to provide the supply to grid. Through the inverter control, the model fed with the grid, which uses PI controlling with PWM signal generation. Based on the demand and grid utility the LC compensation improves the boost converter performance. The PV and RF signal generation utilized on the continuous utility and obtains the demand free grid circuit. By comparing with the proposed and existing approach, the proposed greenhouse management model obtains the better result. Overall simulink model is done with MATLAB 2018a. Keywords- PV module; EM waves; Rectenna; Proposed PSO; Feed Forward neural network; PI controller and grid utility;

Toward an Understanding of How Post- Deployment User- Developer Interactions Influence System Utilization

Although initial adoption of an information system has been shown to influence system success, further value can be obtained when end-users move beyond adoption, utilizing more features of the system and integrating it into their work routines. Organizations can increase the post-deployment utilization of their systems by emphasizing continued interaction between developers and end-users. In this study, we develop a research model investigating the influence of shared understanding, faithfulness of appropriation, and consensus on spirit on post-deployment system utilization. Using a sample from a healthcare organization, we show that increased end-user postdeployment interaction with developers supports a shared understanding between the two groups, which ultimately impacts both the routinization and infusion of a system. This study provides a contribution by demonstrating the impact of developer/user interaction in the post-implementation phase of systems development.

An Optimization-Based Orchestrator for Resource Access and Operation Management in Sliced 5G Core Networks

Network slicing is a promising technology that network operators can deploy the services by slices with heterogeneous quality of service (QoS) requirements. However, an orchestrator for network operation with efficient slice resource provisioning algorithms is essential. This work stands on Internet service provider (ISP) to design an orchestrator analyzing the critical influencing factors, namely access control, scheduling, and resource migration, to systematically evolve a sustainable network. The scalability and flexibility of resources are jointly considered. The resource management problem is formulated as a mixed-integer programming (MIP) problem. A solution approach based on Lagrangian relaxation (LR) is proposed for the orchestrator to make decisions to satisfy the high QoS applications. It can investigate the resources required for access control within a cost-efficient resource pool and consider allocating or migrating resources efficiently in each network slice. For high system utilization, the proposed mechanisms are modeled in a pay-as-you-go manner. Furthermore, the experiment results show that the proposed strategies perform the near-optimal system revenue to meet the QoS requirement by making decisions.

EDF-Adaptive: A New Semipartitioned Scheduling Algorithm for Multiprocessor Real-Time

Most of the multiprocessor real-time scheduling algorithms follow the partitioned approach, the global approach, or the semipartitioned approach which is a hybrid of the first two by allowing a small subset of tasks to migrate. EDF-fm (Earliest Deadline First-based Fixed and Migrating) and EDF-os (Earliest Deadline First-based Optimal Semipartitioned) are semipartitioned approaches and were proposed for soft real-time sporadic task systems. Despite their desirable property that migrations are boundary-limited such as they can only occur at job boundaries, EDF-fm and EDF-os are not always optimal and have higher tardiness and cost of overheads due to task migration. To address these issues, in this paper, we classify the systems into different types according to the utilization of their tasks and propose a new semipartitioned scheduling algorithm, earliest deadline first-adaptive, dubbed as EDF-adaptive. Our experiments show that EDF-adaptive can achieve better performance than EDF-fm and EDF-os, in terms of system utilization and tardiness overhead. It is also proved that EDF-adaptive is able to lessen the task migration overhead, by reducing the number of migrating jobs and the number of processors to which a task is migrated.

A Novel 3D Node Deployment Inspired by Dusty Plasma Crystallization in UAV-Assisted Wireless Sensor Network Applications

With the rapid progress of hardware and software, a wireless sensor network has been widely used in many applications in various fields. However, most discussions for the WSN node deployment mainly concentrated on the two-dimensional plane. In such a case, some large scale applications, such as information detection in deep space or deep sea, will require a good three dimensional (3D) sensor deployment scenario and also attract most scientists’ interests. Excellent deployment algorithms enable sensors to be quickly deployed in designated areas with the help of unmanned aerial vehicles (UAVs). In this paper, for the first time, we present a three dimensional network deployment algorithm inspired by physical dusty plasma crystallization theory in large-scale WSN applications. Four kinds of performance evaluation methods in 3D space, such as the moving distance, the spatial distribution diversion, system coverage rate, and the system utilization are introduced and have been carefully tested.Furthermore, in order to improve the performance of the final deployment, we integrated the system coverage rate and the system utilization to analyze the parameter effects of the Debye length and the node sensing radius. This criterion attempts to find the optimal sensing radius with a fixed Debye length to maximize the sensing range of the sensor network while reducing the system redundancy. The results suggest that our 3D algorithm can quickly complete an overall 3D network deployment and then dynamically adjust parameters to achieve a better distribution. In practical applications, engineers may choose appropriate parameters based on the sensor’s hardware capabilities to achieve a better 3D sensor network deployment. It may be significantly used in some large-scale 3D WSN applications in the near future.

P.035 Health System Utilization and Medication Use among Adults with Migraine in Alberta: An observational cohort study using Alberta administrative health data

Background: Migraine is costly to governments. Despite significant burden, Canada lacks population data regarding migraine prevalence, resource and medication utilization. We sought to characterize the demographics, health resource utilization, and medication use in an adult migraine cohort in Alberta. Methods: Migraine cohort: previously validated case definition of migraine (ICD 10 + dispensation of abortive and/or preventative migraine drug (04/2010-03/2016). Patients over 18 years, followed three years from index date [first dispensation of migraine medication]. Health resource utilization (HRU) assessed by emergency department (ED) visits, hospital admission and physician claims. Medication assessed province-wide dispensation database linkage. Patient demographics and Charlson Comorbidity Index (CCI) included. Results: Over 5 years: 53,333 migraine cases identified (mean age 40.5 years, 79% female). Common comorbidities: hypertension, COPD, diabetes mellitus, cancer, cerebrovascular disease. Mean CCI 0.55 (SD 1.06). Metropolitan patients: 48%, urban 34.6%, rural 17.4%. Initial migraine diagnosis: 46% by GP, 31% in ED. Rural patients present more to ED/hospital for care in 3-year follow-up (IRR 2.95 [2.83, 3.08]). Conclusions: Our migraine case definition is more specific than sensitive and underestimates Alberta’s migraine prevalence. Higher female prevalence as expected. Rurally, migraine care largely occurs in ED/hospital. Study of prevalence, HRU and medications may help inform health policy in Alberta and Canada.

Satisfaction With ERP System Implementation

While many studies explain factors influencing the success of ERP implementation, little is known about the system outcome to satisfy user expectations based on the concepts of task-technology fit and person-task fit. The study examines the effects of fits between user interfaces, task interdependence, and user knowledge on system utilization and performance impacts leading to user satisfaction with ERP system implementation. Based on the structural equation modeling analysis and two-way interaction test results, a user interface dampens the positive effect of task interdependence on task-technology fit while it strengthens the positive effect of user knowledge on task-technology fit. Task interdependence dampens the positive effect of user knowledge on system utilization. The results provide guidance on how to enhance the system impacts on user performance and encourage the system usage resulting in user satisfaction with the ERP system implementation. The paper provides detailed discussions of the results, the implications for theory and practices, and the study limitations.

Advanced Resources Reservation in Mobile Cellular Networks: Static vs. Dynamic Approaches under Vehicular Mobility Model

Many studies in literature have shown that the bandwidth of an ongoing flow can dynamically change during multimedia sessions and an efficient bandwidth allocation scheme must be employed. This paper focuses its attention on the management of predictive services in Wireless Infrastructure Dynamic Networks. In particular, two classes of service are considered: NSIS-Mobility Independent Predictive and NSIS-Mobility Dependent Predictive, where NSIS is the Next Steps in Signaling protocol, employed for resources reservation in Integrated Services architectures. A general prediction technique is proposed, based both on the analysis of time spent into a cell by mobile nodes and on the probabilities of hand-in and hand-out events of mobile nodes from wireless cells. User mobility needs to be firstly analyzed and a novel realistic mobility model has been considered, differently from some existing works in which synthetic mobility is generated. The analysis of user mobility is mandatory when the reduction of passive resource reservations for NSIS-MIP users is desired, with a good enhancement in system utilization. Moreover, predictive reservation and admission control schemes have been integrated. The performance of the 2D wireless system is evaluated in terms of average system utilization, system outage probability, number of admitted flows and reservation prediction errors. We provided to carry out an extensive simulation campaign, in order to assess the goodness of the proposed idea: we verified that good results (in terms of perceived utility, bandwidth and admitted flows) can be obtained, outperforming also some existing works.

Teledermatology in the Saudi Arabian Healthcare System: Utilization and Challenges

<b><i>Background:</i></b> In recent years, telemedicine has led to a dramatic shift in healthcare service delivery, mainly due to the ease with which telemedicine can be integrated into a multitude of specialties and its flexibility as a means of providing care. Over the last 2 decades, technological advancements have made telemedicine integral to healthcare in many countries. In particular, dermatology was benefited from telemedicine as a new tool, thanks to the visual character that pervades this practice. Teledermatology is the interactive practice of remote dermatological assessment, involving live contact with patients (“live interactive”) and data access and retrieval (“store-and-forward”). This review discusses the role of this new discipline in medical education, inpatient care, and primary care through the analysis of several studies addressing this topic. Also examined are the status and limitations of teledermatology in Saudi Arabia and some proposed solutions. <b><i>Summary:</i></b> Visual assessment of dermatological conditions is common practice among dermatologists. However, due to the scarcity of specialists in some areas, wait times have been a hindrance for patients requiring an assessment. Teledermatology improves access by reducing wait times, speeding up the referral process, and streamlining assessments. Furthermore, teledermatology effectively serves as a form of triage, particularly for cases of suspected cutaneous malignancy that typically require the shortest referral time. Earlier diagnoses, more effective management of chronic skin disease, and inpatient care are all additional benefits offered by the teledermatology practice. The use of teledermatology is now widespread, with roles extending beyond patient care to medical teaching and training in residency programs. This perhaps reflects physicians’ highly positive perceptions regarding teledermatology; however, patient perception in Saudi Arabia is still lagging behind the global standard, possibly due to privacy concerns. <b><i>Key Message:</i></b> Teledermatology can be reliably utilized to advance healthcare services and medical education. Improving patient awareness and perception of this emerging discipline is crucial; to that end, the practice must address privacy concerns. Patient uploads of photographs and videos should be stored on an end-to-end encrypted platform to provide optimal service and encourage patients’ participation. Ultimately, physicians should be well acquainted with the medical, ethical, and technical aspects of teledermatology.