Mechanical Design and Analysis of Land Grid Array (LGA) Sockets

2005 ◽  
Author(s):  
Vinayak Pandey ◽  
Sankara Subramanian ◽  
Sudarshan Rangaraj ◽  
Tod Byquist
Keyword(s):  
Mechanical Load ◽  
Mechanical Design ◽  
Cost Effective ◽  
High Volume ◽  
Electrical Performance ◽  
Successful Implementation ◽  
Mechanical Shock ◽  
Stack Analysis ◽  
Case Study Methods

Sockets offer a cost effective and high-volume manufacturing friendly interface between CPU packages and motherboards. Land-grid-array (LGA) technology offers avenues to enhance the electrical performance of sockets over its predecessors e.g. pin grid array (PGA) technology. The present paper will describe various technical challenges encountered in the design of Intel’s LGA sockets. The recently launched LGA775 socket will be used as a case study. Methods adopted to overcome these design challenges and successfully implement LGA sockets will be discussed. Design features like direct socket loading (DSL), various issues related to the design of socket housings, LGA contact design optimization and socket reliability enhancement under stresses such as thermal cycling, mechanical shock, vibration and bake will be discussed. DSL is an integrated mechanism that enables application of a compressive mechanical load between the LGA contact pins on the socket and the package LGA pads, so that their interfaces achieve and maintain electrical continuity through the socket design life. Similarly, optimizing the design of the socket contacts significantly impacts the stressing, reliability of the second level interconnect (SLI) ball grid array (BGA) that connects the LGA775 to the motherboard. The successful implementation of these designs is achieved through a combination of geometric tolerance stack analysis, numerical modeling studies, detailed experiments, reliability testing and correlation between these. The details of the same are be discussed in this article.

The Social, Cultural and Behavioral Components of Information and Knowledge-Seeking Among Home Care Nurses

2013 ◽  
Author(s):  
Edmund J.Y. Pajarillo
Keyword(s):  
Home Care ◽  
Study Methods ◽  
Soins À Domicile ◽  
The Social ◽  
Knowledge Seeking ◽  
Case Study Methods ◽  
Home Care Nurses

Information and knowledge-seeking vary among users, including home care nurses. This research describes the social, cultural and behavioral dimensions of information and knowledge-seeking among home care nurses, using both survey and case study methods. Results provide better understanding and appreciation of nurses’ information behavior.La recherche d’information et de connaissances varie selon les usagers, y compris parmi les infirmiers et infirmières des soins à domicile. Cette recherche décrit les dimensions sociales, culturelles et comportementales de la recherche d’information et de connaissances parmi les infirmiers et infirmières des soins à domicile, en utilisant les méthodes de sondage et de l’étude de cas. Les résultats offrent une meilleure compréhension et connaissance du comportement informationnel des infirmiers et infirmières. 

Empowering professionalism in mission-oriented innovation

2021 ◽  
Author(s):  
Markus M Bugge ◽  
Fazilat Siddiq
Keyword(s):  
Digital Literacy ◽  
Primary Schools ◽  
Teaching Practices ◽  
Digital Technologies ◽  
Successful Implementation ◽  
Supply Side ◽  
Innovative Teaching ◽  
Teaching Tools

Abstract In the literature on mission-oriented innovation supply side and tech-oriented approaches have been complemented by broader and more inclusive societal approaches. Here, it is highlighted that both directionality and broad anchoring of diverse stakeholders across private, public, and civic domains are key to successful implementation. Still, it is unclear how these dimensions relate and unfold in practice. Using digital literacy in education as an example of mission-oriented innovation, this paper investigates what prerequisites and capabilities are needed to envision and govern such processes. Based upon a case study of innovative teaching practices in twenty-five classes at ten primary schools in Norway, the paper finds that the motivation, dedication, and engagement of the teachers is not primarily related to the digital technologies themselves, but to the professional and pedagogical anchoring of the digital teaching tools. The mobilization of the professionalism of the teachers is enabled by a process of balanced empowerment.

The socio-spatial politics of royalties and their distribution: A case study of the Surat Basin, Queensland

2021 ◽  
pp. 0308518X2110266
Author(s):  
Neil Argent ◽  
Sean Markey ◽  
Greg Halseth ◽  
Laura Ryser ◽  
Fiona Haslam-McKenzie
Keyword(s):  
Cost Effective ◽  
Indigenous Communities ◽  
Energy Extraction ◽  
Grant Application ◽  
Coal Seam Gas ◽  
Spatial Politics ◽  
Developmental Needs ◽  
Development Fund ◽  
Effective Use

This paper is concerned with the socio-spatial and ethical politics of redistribution, specifically the allocation of natural resources rents from political and economic cores to the economic and geographical peripheries whence the resource originated. Based on a case study of the coal seam gas sector in Queensland's Surat Basin, this paper focuses on the operation of the Queensland State Government's regional development fund for mining and energy extraction-affected regions. Employing an environmental justice framework, we critically explore the operation of these funds in ostensibly helping constituent communities in becoming resilient to the worst effects of the ‘staples trap’. Drawing on secondary demographic and housing data for the region, as well as primary information collected from key respondents from mid-2018 to early 2019, we show that funds were distributed across all of the local government areas, and allocated to projects and places primarily on a perceived economic needs basis. However, concerns were raised with the probity of the funds’ administration. In terms of recognition justice, the participation of smaller and more remote towns and local Indigenous communities was hampered by their structural marginalisation. Procedurally, the funds were criticised for the lack of local consultation taken in the development and approval of projects. While spatially concentrated expenditure may be the most cost-effective use of public monies, we argue that grant application processes should be open, transparent and inclusive, and the outcomes cognisant of the developmental needs of smaller communities, together with the need to foster regional solidarity and coherence.

scholarly journals A Methodology for Harmonizing Safety and Health Scales in Occupational Risk Assessment

2021 ◽  
Vol 18 (9) ◽  
pp. 4849
Author(s):  
Zuzhen Ji ◽  
Dirk Pons ◽  
John Pearse
Keyword(s):  
Risk Assessment ◽  
Health And Safety ◽  
Assessment Method ◽  
Assessment Process ◽  
Successful Implementation ◽  
Health Issues ◽  
Public Health Perspective ◽  
Chronic Health ◽  
Risk Assessment Method

Successful implementation of Health and Safety (H&S) systems requires an effective mechanism to assess risk. Existing methods focus primarily on measuring the safety aspect; the risk of an accident is determined based on the product of severity of consequence and likelihood of the incident arising. The health component, i.e., chronic harm, is more difficult to assess. Partially, this is due to both consequences and the likelihood of health issues, which may be indeterminate. There is a need to develop a quantitative risk measurement for H&S risk management and with better representation for chronic health issues. The present paper has approached this from a different direction, by adopting a public health perspective of quality of life. We have then changed the risk assessment process to accommodate this. This was then applied to a case study. The case study showed that merely including the chronic harm scales appeared to be sufficient to elicit a more detailed consideration of hazards for chronic harm. This suggests that people are not insensitive to chronic harm hazards, but benefit from having a framework in which to communicate them. A method has been devised to harmonize safety and harm risk assessments. The result was a comprehensive risk assessment method with consideration of safety accidents and chronic health issues. This has the potential to benefit industry by making chronic harm more visible and hence more preventable.

scholarly journals Efficient Design of Energy Disaggregation Model with BERT-NILM Trained by AdaX Optimization Method for Smart Grid

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4649
Author(s):  
İsmail Hakkı ÇAVDAR ◽  
Vahit FERYAD
Keyword(s):  
Smart Grids ◽  
Energy Demand ◽  
Optimization Technique ◽  
Cost Effective ◽  
Optimization Method ◽  
Long Term Memory ◽  
Successful Implementation ◽  
Efficient Design ◽  
Energy Disaggregation ◽  
Load Monitoring

One of the basic conditions for the successful implementation of energy demand-side management (EDM) in smart grids is the monitoring of different loads with an electrical load monitoring system. Energy and sustainability concerns present a multitude of issues that can be addressed using approaches of data mining and machine learning. However, resolving such problems due to the lack of publicly available datasets is cumbersome. In this study, we first designed an efficient energy disaggregation (ED) model and evaluated it on the basis of publicly available benchmark data from the Residential Energy Disaggregation Dataset (REDD), and then we aimed to advance ED research in smart grids using the Turkey Electrical Appliances Dataset (TEAD) containing household electricity usage data. In addition, the TEAD was evaluated using the proposed ED model tested with benchmark REDD data. The Internet of things (IoT) architecture with sensors and Node-Red software installations were established to collect data in the research. In the context of smart metering, a nonintrusive load monitoring (NILM) model was designed to classify household appliances according to TEAD data. A highly accurate supervised ED is introduced, which was designed to raise awareness to customers and generate feedback by demand without the need for smart sensors. It is also cost-effective, maintainable, and easy to install, it does not require much space, and it can be trained to monitor multiple devices. We propose an efficient BERT-NILM tuned by new adaptive gradient descent with exponential long-term memory (Adax), using a deep learning (DL) architecture based on bidirectional encoder representations from transformers (BERT). In this paper, an improved training function was designed specifically for tuning of NILM neural networks. We adapted the Adax optimization technique to the ED field and learned the sequence-to-sequence patterns. With the updated training function, BERT-NILM outperformed state-of-the-art adaptive moment estimation (Adam) optimization across various metrics on REDD datasets; lastly, we evaluated the TEAD dataset using BERT-NILM training.

scholarly journals Toward Decentralised Sanitary Sewage Collection Systems: A Multiobjective Approach for Cost-Effective and Resilient Designs

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1886
Author(s):  
Arezoo Zahediasl ◽  
Amin E. Bakhshipour ◽  
Ulrich Dittmer ◽  
Ali Haghighi
Keyword(s):  
Treatment Plant ◽  
Drainage System ◽  
Cost Effective ◽  
Optimization Approach ◽  
Hydraulic Design ◽  
Multiobjective Approach ◽  
Layout Generation ◽  
Plant Allocation ◽  
Problem Solving Process

In recent years, the concept of a centralized drainage system that connect an entire city to one single treatment plant is increasingly being questioned in terms of the costs, reliability, and environmental impacts. This study introduces an optimization approach based on decentralization in order to develop a cost-effective and sustainable sewage collection system. For this purpose, a new algorithm based on the growing spanning tree algorithm is developed for decentralized layout generation and treatment plant allocation. The trade-off between construction and operation costs, resilience, and the degree of centralization is a multiobjective problem that consists of two subproblems: the layout of the networks and the hydraulic design. The innovative characteristics of the proposed framework are that layout and hydraulic designs are solved simultaneously, three objectives are optimized together, and the entire problem solving process is self-adaptive. The model is then applied to a real case study. The results show that finding an optimum degree of centralization could reduce not only the network’s costs by 17.3%, but could also increase its structural resilience significantly compared to fully centralized networks.

An application of Austrian legal requirements for CSO emissions

2011 ◽  
Vol 64 (5) ◽  
pp. 1081-1088 ◽  
Author(s):  
Manfred Kleidorfer ◽  
Wolfgang Rauch
Keyword(s):  
Model Calibration ◽  
Model Building ◽  
Treatment Plant ◽  
Cost Effective ◽  
Combined Sewer Overflows ◽  
Sewer System ◽  
Legal Requirements ◽  
Innovative Methods ◽  
Combined Sewer

The Austrian standard for designing combined sewer overflow (CSO) detention basins introduces the efficiency of the combined sewer overflows as an indicator for CSO pollution. Additionally criteria for the ambient water quality are defined, which comprehend six kinds of impacts. In this paper, the Austrian legal requirements are described and discussed by means of hydrological modelling. This is exemplified with the case study Innsbruck (Austria) including a description for model building and model calibration. Furthermore an example is shown in order to demonstrate how – in this case – the overall system performance could be improved by implementing a cost-effective rearrangement of the storage tanks already available at the inflow of the wastewater treatment plant. However, this guideline also allows more innovative methods for reducing CSO emissions as measures for better usage of storage volume or de-centralised treatment of stormwater runoff because it is based on a sewer system simulation.

scholarly journals GPU-Enabled Serverless Workflows for Efficient Multimedia Processing

2021 ◽  
Vol 11 (4) ◽  
pp. 1438
Author(s):  
Sebastián Risco ◽  
Germán Moltó
Keyword(s):  
Video Processing ◽  
Cost Effective ◽  
Multimedia Processing ◽  
Computing Services ◽  
Video Frames ◽  
Open Source Framework ◽  
Cloud Infrastructures ◽  
Aws Lambda ◽  
Runtime Environments

Serverless computing has introduced scalable event-driven processing in Cloud infrastructures. However, it is not trivial for multimedia processing to benefit from the elastic capabilities featured by serverless applications. To this aim, this paper introduces the evolution of a framework to support the execution of customized runtime environments in AWS Lambda in order to accommodate workloads that do not satisfy its strict computational requirements: increased execution times and the ability to use GPU-based resources. This has been achieved through the integration of AWS Batch, a managed service to deploy virtual elastic clusters for the execution of containerized jobs. In addition, a Functions Definition Language (FDL) is introduced for the description of data-driven workflows of functions. These workflows can simultaneously leverage both AWS Lambda for the highly-scalable execution of short jobs and AWS Batch, for the execution of compute-intensive jobs that can profit from GPU-based computing. To assess the developed open-source framework, we executed a case study for efficient serverless video processing. The workflow automatically generates subtitles based on the audio and applies GPU-based object recognition to the video frames, thus simultaneously harnessing different computing services. This allows for the creation of cost-effective highly-parallel scale-to-zero serverless workflows in AWS.

The potential cost of environmental certification to vegetation management in plantation forests: a New Zealand case study

2011 ◽  
Vol 41 (5) ◽  
pp. 986-993 ◽  
Author(s):  
Carol A. Rolando ◽  
Michael S. Watt ◽  
Jerzy A. Zabkiewicz
Keyword(s):  
New Zealand ◽  
Cost Effective ◽  
Vegetation Management ◽  
Rate Of Return ◽  
Internal Rate Of Return ◽  
Mechanical Control ◽  
Vegetation Control ◽  
High Productivity ◽  
Plantation Forests

Plantation forests certified by the Forest Stewardship Council have restrictions on herbicide use. Since certified plantations are dependant on herbicides for cost-effective vegetation management, compliance requires a shift from current chemical practices. Using New Zealand plantation forests as a case study, discounted cash flow analyses were used to estimate the cost of certification-compliant vegetation control regimes compared with current non-compliant methods. We examined methods that (i) reduce the quantity of herbicides by using spot control and (ii) avoid the use of herbicides by using weed mats, manual, and mechanical control. Cost analyses were undertaken for low-, medium-, and high-productivity sites. The internal rate of return of the non-compliant regime was between 5% and 5.8% across the productivity range. Spot control was cheaper than current non-compliant practice. However, spot control is limited by site suitability and the availability of labour. Non-chemical control methods were expensive relative to other regimes. Reductions in the internal rate of return varied across low- and high-productivity sites between 0.8% and 0.5% for manual control, 1.3% and 0.8% for mechanical control, and 1.7% and 1.0% for weed mats. Meeting the goals of certification while retaining cost-effective vegetation control presents a challenge to the plantation forestry sector.

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