Advanced hardware and software architectures for computational intelligence-application to a real world problem

2002 ◽  
Author(s):  
M. Glesner ◽  
M. Rychetsky ◽  
S. Ortmann
Keyword(s):  
Real World ◽  
Computational Intelligence ◽  
Software Architectures ◽  
Real World Problem ◽  
Intelligence Application

Systems theories

2018 ◽  
Author(s):  
Marc J. Stern
Keyword(s):  
Social Networks ◽  
Problem Solving ◽  
Natural Resources ◽  
Real World ◽  
Common Pool Resources ◽  
Ecological Systems ◽  
Effective Governance ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
Real World Problem

This chapter covers systems theories relevant to understanding and working to enhance the resilience of social-ecological systems. Social-ecological systems contain natural resources, users of those resources, and the interactions between each. The theories in the chapter share lessons about how to build effective governance structures for common pool resources, how to facilitate the spread of worthwhile ideas across social networks, and how to promote collaboration for greater collective impacts than any one organization alone could achieve. Each theory is summarized succinctly and followed by guidance on how to apply it to real world problem solving.

scholarly journals Preparing Biomedical Engineers For Real World Problem Solving

2020 ◽  
Author(s):  
David Kelso ◽  
John D. Enderle ◽  
Kristina Ropella
Keyword(s):  
Problem Solving ◽  
Real World ◽  
Real World Problem

scholarly journals Virtual Physics Laboratory with Real World Problem Based on Ngada Local Wisdom in Basic Physics Practicum

2021 ◽  
Vol 5 (4) ◽  
pp. 520
Author(s):  
Maria Yuliana Kua ◽  
Ni Wayan Suparmi ◽  
Dek Ngurah Laba Laksana
Keyword(s):  
Data Collection ◽  
Real World ◽  
Average Score ◽  
Study Program ◽  
Face To Face ◽  
Physics Laboratory ◽  
Real World Problem ◽  
Validation Score ◽  
Basic Physics ◽  
The Media

This research is based on the problem where practical activities in the Basic Physics Practicum course can no longer be carried out optimally due to changes in the learning model from face-to-face (offline) to online (online) during the COVID-19 pandemic. The purpose of this study was to develop a virtual physics laboratory as a medium in carrying out practical activities and to analyze the feasibility of the product through the validation results of experts and the results of product trials on prospective users. This type of research is Research & Development with ADDIE development model. The subjects of this study were 12 lecturers and 47 students of the STKIP Citra Bakti science education study program. Data collection techniques using validation sheets and questionnaires. The data collection instruments are in the form of validation assessment sheets and response questionnaires of prospective users. The data from this study were analyzed qualitatively descriptive to decide the feasibility of the product being developed. The results of the research showed that the average validation score of the material expert was 4.63, the media expert was 4.41, the learning design expert was 4.30, and the linguist was 4.51. The validation results of the four validators are in the very good category. Meanwhile, the results of product trials to lecturers and students as potential users are in the very good category with an average score of 4.53 and 4.57, respectively. Based on these data, this virtual physics laboratory product with real world problems based on Ngada local wisdom is recommended to be applied to the Basic Physics Practicum course and to help students in their independent practicum activities.

scholarly journals Pesantren Dan Pendidikan Politik Di Indonesia: Sebuah Reformulasi Kepemimpinan Islam Futuristik

2016 ◽  
Vol 16 (2) ◽  
pp. 461
Author(s):  
Mukodi Mukodi
Keyword(s):  
Real World ◽  
Life Skills ◽  
Boarding School ◽  
Political Awareness ◽  
The Real ◽  
Real World Problem ◽  
Agent Of Change ◽  
As If

Abstract: There is an increasing concern as if discussing politics in pesantren (Islamic Boarding School) was uncommon. This oddity is due to the conception of a person who puts pesantren merely a decontextualised scholarly reproduction of an-sich (from the real world problem or real politics) and not as an agent of change. In fact, pesantren is a replica of life integrating various life skills, including politics. The most interesting finding was that the diverse activities of life in the boarding school had raised the seedling of students’ political sense. This article also recommends the presence of political boarding school establishment, as a political incubator for Islamic activists as the continuity of conditioning political awareness in pesantren. Its realization is believed to be able to trigger the acceleration of the Islamic ideal leader candidate in Indonesia.

scholarly journals Ground station scheduling optimization for a model of a real-world problem instance

2021 ◽  
Author(s):  
Bryce Wildish
Keyword(s):  
Real World ◽  
Heuristic Algorithms ◽  
Complex Problem ◽  
Initial Guess ◽  
Fine Tuning ◽  
Problem Instance ◽  
Ground Station ◽  
Real World Problem ◽  
Crucial Component ◽  
Orbiting Spacecraft

Effective scheduling of communication windows between orbiting spacecraft and ground stations is a crucial component of efficiently using spacecraft resources. In all but the most trivial cases, this forces the operator to choose a subset of the potentially available access windows such that they can achieve the best possible usage of their hardware and other resources. This is a complex problem not normally solvable analytically, and as a result the standard approach is to apply heuristic algorithms which take an initial guess at a solution and improve upon it in order to increase its quality. Various such algorithms exist, with some being in common practice for this particular problem. This thesis covers the application of several of the most commonly-used algorithms on a problem instance. Additionally, a real-world problem instance is used, and the resultant practical constraints are addressed when applying the heuristics and fine-tuning them for this application.

Serverless, FaaS and why organizations need them

2021 ◽  
pp. 1-14
Author(s):  
Irina Astrova ◽  
Arne Koschel ◽  
Marc Schaaf ◽  
Samuel Klassen ◽  
Kerim Jdiya
Keyword(s):  
Real World ◽  
Cloud Service ◽  
Software Architectures ◽  
Service Platform ◽  
New Approach ◽  
The Real ◽  
Operational Costs ◽  
The Future ◽  
Depth Study ◽  
Cloud Service Platform

This paper is aimed at helping organizations to understand what they can expect from a serverless architecture in the future and how they can make sound decisions about the choice between microservice and serverless architectures in the present. A serverless architecture is a new approach to offering services in the cloud. It was invented as a solution to the problem that many organizations are facing today – about 85% of their servers have underutilized capacity, which is proved to be costly and wasteful. By employing the serverless architecture, the organizations get a way to eliminate idle, underutilized servers and thus, to reduce their operational costs. Many cloud providers are now jumping to the serverless world because they know it is going to be the future of software architectures. However, being a new approach, the serverless architecture is still relatively immature – it is in the early stages of its support by cloud service platform providers. This paper provides an in-depth study about the serverless architecture and how to apply FaaS in the real world.

Prototyping a Real-World Problem

Innovating ◽  
2017 ◽  
Author(s):  
Luis Perez-Breva ◽  
Nick Fuhrer
Keyword(s):  
Real World ◽  
Multiple Strategies ◽  
Real World Problem

You can give any hunch the structure of a problem and make that problem tangible. Innovations are not prescribed, but rather emerge from what you do in the process of trying to understand and tame a real-world problem—that is, prototyping a problem. Get ready to be wrong, because a good solution can emerge from being wrong a lot and you need only be approximately right once. This process of prototyping a problem as an approach to innovation has several advantages: progress is about how much you learn about the problem; there are multiple strategies for making your problem tangible and getting to specific questions; and there is a demonstration possible of any problem at a scale that matches your current resources.

A Measure Optimized Cost-Sensitive Learning Framework for Imbalanced Data Classification

2014 ◽  
pp. 48-75 ◽  
Author(s):  
Peng Cao ◽  
Osmar Zaiane ◽  
Dazhe Zhao
Keyword(s):  
Real World ◽  
Class Imbalance ◽  
Imbalanced Data ◽  
Support Vector ◽  
Feature Subset ◽  
Cost Sensitive Learning ◽  
Intrinsic Parameters ◽  
Real World Problem ◽  
Benchmark Datasets ◽  
Feed Forward Neural Networks

Class imbalance is one of the challenging problems for machine-learning in many real-world applications. Many methods have been proposed to address and attempt to solve the problem, including sampling and cost-sensitive learning. The latter has attracted significant attention in recent years to solve the problem, but it is difficult to determine the precise misclassification costs in practice. There are also other factors that influence the performance of the classification including the input feature subset and the intrinsic parameters of the classifier. This chapter presents an effective wrapper framework incorporating the evaluation measure (AUC and G-mean) into the objective function of cost sensitive learning directly to improve the performance of classification by simultaneously optimizing the best pair of feature subset, intrinsic parameters, and misclassification cost parameter. The optimization is based on Particle Swarm Optimization (PSO). The authors use two different common methods, support vector machine and feed forward neural networks, to evaluate the proposed framework. Experimental results on various standard benchmark datasets with different ratios of imbalance and a real-world problem show that the proposed method is effective in comparison with commonly used sampling techniques.

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