An optimized Paging prediction model over a cell in wireless network for efficient resource planning

2021 ◽  
Author(s):  
Mrinal Das ◽  
Goutham Ponnamreddy ◽  
Umasankar Ceendhralu Baskar ◽  
Satya Ganesh Nutan Dev C
Keyword(s):  
Prediction Model ◽  
Wireless Network ◽  
Resource Planning ◽  
Efficient Resource ◽  
A Cell

scholarly journals A Novel Data-driven Methodology for Influenza Outbreak Detection and Prediction

2020 ◽  
Author(s):  
Lin Du ◽  
Yan Pang
Keyword(s):  
Model Performance ◽  
Resource Planning ◽  
Data Driven ◽  
Outbreak Detection ◽  
Severe Illness ◽  
Prescription Data ◽  
Influenza Outbreak ◽  
Real World Evidence ◽  
Efficient Resource ◽  
Influenza Outbreaks

Abstract Influenza is an infectious disease that leads to an estimated 5 million severe illness cases and 650,000 respiratory deaths worldwide each year. Early detection and prediction of influenza outbreaks are crucial to efficient resource planning to save patients’ lives and healthcare costs. This paper proposes a novel data-driven methodology for influenza outbreaks detection and prediction. The doctor’s diagnosis-based prescription dataset of Influenza-Like Illness (ILI) from more than 3,000 clinics in Malaysia is used in this study because the prescription data are reliable and can be captured timely. A new Region Index (RI) of the influenza outbreak is proposed based on the prescription dataset. With the newly proposed RI metric, statistical and machine learning models are developed to detect and predict influenza outbreaks. Cross-validation is conducted to evaluate the prediction model performance. The proposed methods are also validated by real-world evidence. It is proved to be sensitive and accurate in influenza outbreak prediction with 80-90% accuracy, 70-80% recall, and 70-80% precision scores.

scholarly journals Optimization Models for Multiple Resource Planning

2021 ◽  
Author(s):  
Norah Mohammed Z. Al-Dossari ◽  
Mohamed Haouari ◽  
Mohamed Kharbeche
Keyword(s):  
Resource Planning ◽  
Solution Approach ◽  
Organizational Environments ◽  
Resource Loading ◽  
Administrative Development ◽  
Efficient Resource ◽  
Using Data ◽  
Multiple Resource ◽  
The Cost ◽  
Novel Model

Multiple resource planning is a very crucial undertaking for most organizations. Apart from reducing operational complexity, multiple resource planning facilitates efficient allocation of resources, which reduces costs by minimizing the cost of tardiness and the cost for additional capacity. The current research investigates multiple resource loading problems (MRLP). MRLPs are very prevalent in today’s organizational environments and are particularly critical for organizations that handle concurrent, time-intensive, and multiple-resource projects. Using data obtained from the Ministry of Administrative Development, Labor and Social Affairs (ADLSA), a MRLP is proposed. The problem utilizes data regarding staff, time, equipment, and finance to ensure efficient resource allocation among competing projects. In particular, the research proposes a novel model and solution approach for the MRLP. Computational experiments are then performed on the model. The results show that the model performs well, even for higher instances. The positive results attest to the effectiveness of the proposed MRLP problem.

Managing User Integration

2022 ◽  
pp. 25-41
Author(s):  
Cornelia Eicher ◽  
Robert Klebbe
Keyword(s):  
Resource Planning ◽  
Assistive Technologies ◽  
Research Approach ◽  
User Group ◽  
Group Leaders ◽  
User Perspective ◽  
Efficient Resource ◽  
User Integration ◽  
Effective Integration ◽  
Common Understanding

The importance of robotics and assistive technologies for healthcare is increasing. For their introduction into practical application, the continuous integration of the user perspective is crucial to ensure acceptance and usability. This can be achieved by the user-centered design approach. In an earlier publication, several problems with its functional implementation within research and development (R&D) projects were pointed out. This chapter discusses possible solutions to promote an effective integration of the user perspective in R&D projects based on six interviews with experts from Germany. The results can be summarized in three main requirements: first, the generation of a common understanding of the target group; second, a scientific research approach considering the context of technology usage; third, projectification, with a focus on efficient resource planning, the development of generic technologies, and technology evaluations with the user group. Leaders of innovative projects can benefit from implementing these strategies in the development process.

scholarly journals Distributed Association Method Assisted by Cell for Efficiency Enhancement of Wireless Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Jaesung Park
Keyword(s):  
Wireless Network ◽  
Data Rate ◽  
Simulation Studies ◽  
Efficiency Enhancement ◽  
Performance Metric ◽  
Cell Association ◽  
Total Data ◽  
A Cell ◽  
Association Method ◽  
Outage Probabilities

In this paper, we propose a distributed cell association scheme called cell-guided association method (CGAM) to improve the efficiency of a wireless network. In CGAM, MSs attempt to associate with their best cells. However, unlike the conventional methods, cells do not passively accept the association requests of MSs. Instead, a cell determines whether to accept an association request or not by considering the performance of MSs already associated with it and that of the requesting MS. If a cell cannot provide a certain level of service to them, it rejects the association request and guides the requesting MS to select another cell that gives the next maximum performance metric to the MS. Since our method takes the cell resource usage into consideration, it can increase the resource efficiency of a wireless network while enhancing the overall data rate provided to MSs by balancing the number of MSs in a cell. Through performance comparisons by simulation studies, we verify that CGAM outperforms maximum SINR-based method and QoS-based method in terms of the total data rate provided by a system and outage probabilities of MSs.

High-Density Computing: Efficient Versus Conventional Design

2015 ◽  
Author(s):  
Dan Comperchio ◽  
Sameer Behere
Keyword(s):  
High Performance ◽  
Data Centers ◽  
Energy Savings ◽  
Large Data ◽  
Resource Planning ◽  
Efficient Design ◽  
Efficient Resource ◽  
Enterprise Level ◽  
Using Data

Data centers are expensive to build and operate. Large data centers cost $9–13/W to build [1] and can consume more than forty times, and up to over two hundred times, the amount of energy and resources consumed by a typical building [2], [3]. Therefore, space and energy considerations need to be accounted for when evaluating competing designs for high-performance computing (HPC) installations. This paper describes the results of an incremental cost and energy savings analysis conducted using data collected from a real-world case study to evaluate the impacts of efficient resource planning and implementing a total cost of ownership (TCO) model in the analysis of IT equipment and systems. The analysis presented demonstrates the advantages of using the latest technologies and IT strategies when planning the growth of new HPC installations at an enterprise level. The data also indicates an efficient design can significantly reduce the space, power, and cooling requirements of the HPC deployment while maintaining the performance and reliability criteria.

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