Scheduling Jobs on Unrelated Machines with Job Splitting and Setup Resource Constraints for Weaving in Textile Manufacturing

2021 ◽  
pp. 424-434
Author(s):  
Ioannis Mourtos ◽  
Stavros Vatikiotis ◽  
Georgios Zois
Keyword(s):  
Resource Constraints ◽  
Unrelated Machines ◽  
Textile Manufacturing ◽  
Job Splitting

An Assessment of the Distribution of Public-Sector Educational Investment in Pakistan: 1970-71 - 1982-83 (Review Article, Note, Comment)

1986 ◽  
Vol 25 (2) ◽  
pp. 175-192
Author(s):  
Shahrukh Rafi Khan ◽  
Naushin Mahmood ◽  
Rehana Siddiqui
Keyword(s):  
Public Sector ◽  
Primary Education ◽  
Resource Constraints ◽  
Educational Planning ◽  
Review Article ◽  
Planning Theory ◽  
Limited Resources ◽  
Educational Investment ◽  
User Charges ◽  
Partial Success

Planning documents for the Seventies emphasized the importance of primary education and the curtailment of the mushrooming growth at the higher level. Our review suggests that this policy has had only partial success in implementation. Viewed in the context of educational planning theory and the evidence available for Pakistan, the policy is found to be sound. While the benefits of a correct distribution of investment within the educational sector are self-evident, resource constraints have been leading to an overall underinvestment in the educational sector. We show that Pakistan's public sector education is highly subsidized and so to supplement the limited resources devoted to it, we recommend, as a possible solution, a selective application of user charges.

Pre-Registration in the Undergraduate Dissertation: A Critical Discussion

2020 ◽  
Author(s):  
Madeleine Pownall
Keyword(s):  
Resource Constraints ◽  
Open Science ◽  
Critical Discussion ◽  
Perceived Barriers ◽  
Science Literature ◽  
Statistics Anxiety ◽  
Questionable Research Practices ◽  
Research Findings ◽  
Potential Benefits ◽  
Data Analysis Plan

Currently under review at Psychology Teaching Review. Over recent years, Psychology has become increasingly concerned with reproducibility and replicability of research findings (Munafò et al., 2017). One method of ensuring that research is hypothesis driven, as opposed to data driven, is the process of publicly pre-registering a study’s hypotheses, data analysis plan, and procedure prior to data collection (Nosek, Ebersole, DeHaven, & Mellor, 2018). This paper discusses the potential benefits of introducing pre-registration to the undergraduate dissertation. The utility of pre-registration as a pedagogic practice within dissertation supervision is also critically appraised, with reference to open science literature. Here, it is proposed that encouraging pre-registration of undergraduate dissertation work may alleviate some pedagogic challenges, such as statistics anxiety, questionable research practices, and research clarity and structure. Perceived barriers, such as time and resource constraints, are also discussed.

SPREAD - A Routing Protocol to Meet End-to-end Adjusted Deadline in Real Time Wireless Sensor Networks

2020 ◽  
Vol 10 (1) ◽  
pp. 63-78
Author(s):  
Neetika Jain ◽  
Sangeeta Mittal
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Routing Protocol ◽  
Resource Constraints ◽  
Wireless Sensor ◽  
Network Simulator ◽  
Packet Delivery ◽  
High Data ◽  
Hard Real Time

Background: Real Time Wireless Sensor Networks (RT-WSN) have hard real time packet delivery requirements. Due to resource constraints of sensors, these networks need to trade-off energy and latency. Objective: In this paper, a routing protocol for RT-WSN named “SPREAD” has been proposed. The underlying idea is to reserve laxity by assuming tighter packet deadline than actual. This reserved laxity is used when no deadline-meeting next hop is available. Objective: As a result, if due to repeated transmissions, energy of nodes on shortest path is drained out, then time is still left to route the packet dynamically through other path without missing the deadline. Results: Congestion scenarios have been addressed by dynamically assessing 1-hop delays and avoiding traffic on congested paths. Conclusion: Through extensive simulations in Network Simulator NS2, it has been observed that SPREAD algorithm not only significantly reduces miss ratio as compared to other similar protocols but also keeps energy consumption under control. It also shows more resilience towards high data rate and tight deadlines than existing popular protocols.

Collaborating for Innovation

2019 ◽  
pp. 586-609
Author(s):  
Peter G. Klein ◽  
Mark D. Packard ◽  
Karen Schnatterly
Keyword(s):  
Organizational Structure ◽  
Organizational Design ◽  
Resource Constraints ◽  
Spillover Effects ◽  
Employee Motivation ◽  
Corporate Entrepreneurship ◽  
Marketplace Of Ideas ◽  
Collaborative Innovation ◽  
Barriers To Collaboration ◽  
Innovation Outcomes

This chapter looks inside the firm at how organizational design affects collaboration in pursuit of corporate entrepreneurship or “intrapreneurship.” It shows how the intrafirm “marketplace” of ideas, employees, and resources can be strategically configured to encourage or inhibit collaborative innovation. The chapter focuses on the key structural dimensions of autonomy, sponsorship, and incentives. Complementarities between these dimensions create spillover effects that produce unique innovation outcomes by mitigating barriers to collaboration such as knowledge problems, resource constraints, and employee motivation. Illustrating configurations of these dimensions with company examples, the chapter shows how organizational design affects intrapreneurship and offers suggestions on how firms might strategically align their organizational structure with their intrapreneurial strategy.

scholarly journals Power-Based Non-Intrusive Condition Monitoring for Terminal Device in Smart Grid

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3635 ◽  
Author(s):  
Guoming Zhang ◽  
Xiaoyu Ji ◽  
Yanjie Li ◽  
Wenyuan Xu
Keyword(s):  
Smart Grid ◽  
Power Consumption ◽  
Real Time ◽  
Condition Monitoring ◽  
Resource Constraints ◽  
Detection System ◽  
Stable Operation ◽  
Detection Accuracy ◽  
Monitoring Method ◽  
Dsp Processors

As a critical component in the smart grid, the Distribution Terminal Unit (DTU) dynamically adjusts the running status of the entire smart grid based on the collected electrical parameters to ensure the safe and stable operation of the smart grid. However, as a real-time embedded device, DTU has not only resource constraints but also specific requirements on real-time performance, thus, the traditional anomaly detection method cannot be deployed. To detect the tamper of the program running on DTU, we proposed a power-based non-intrusive condition monitoring method that collects and analyzes the power consumption of DTU using power sensors and machine learning (ML) techniques, the feasibility of this approach is that the power consumption is closely related to the executing code in CPUs, that is when the execution code is tampered with, the power consumption changes accordingly. To validate this idea, we set up a testbed based on DTU and simulated four types of imperceptible attacks that change the code running in ARM and DSP processors, respectively. We generate representative features and select lightweight ML algorithms to detect these attacks. We finally implemented the detection system on the windows and ubuntu platform and validated its effectiveness. The results show that the detection accuracy is up to 99.98% in a non-intrusive and lightweight way.

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