scholarly journals Local innovation systems in Poland - the beginning of the road

2017 ◽  
Vol 21 (2) ◽  
pp. 60-67 ◽  
Author(s):  
Wojciech Dziemianowicz ◽  
Agnieszka Laskowska ◽  
Klaudia Peszat
Keyword(s):  
Factor Analysis ◽  
Case Studies ◽  
Innovation Systems ◽  
Systemic Approach ◽  
The Road ◽  
Local Innovation Systems

AbstractLocal innovation systems (LIS) constitute a relatively new term as usually the discussion about the systemic approach to innovation has focused on the level of countries, and most of all - regions. In this article an attempt was made to assess Polish municipalities from the perspective of their potential for development of local innovative systems. The performed factor analysis allowed characterization of five types of institution networks which may impact creation and development of LIS. The study was completed with case studies in selected voivodeship cities as centres of the highest concentration of institutions usually building local innovation systems, three of which were capitals of the poorest regions in Poland.

SEM/EDS Characterization of Uncommon Metal Whiskers and Determination of Underlying Growth Mechanisms

2018 ◽  
Author(s):  
D. Basak ◽  
L. H. Ponce
Keyword(s):  
Reliability Analysis ◽  
Case Studies ◽  
Whisker Growth ◽  
Innovation Systems ◽  
Growth Mechanisms ◽  
Crystal Oscillator ◽  
Analysis Laboratory ◽  
Investigative Techniques

Abstract Two case-studies on uncommon metals whiskers, performed at the Reliability Analysis Laboratory (RAL) of Northrop Grumman Innovation Systems, are presented. The components analyzed are an Oven Controlled Crystal Oscillator (OCXO) and an Electromechanical Relay. Investigative techniques were used to determine the chemical and physical makeup of the metal whiskers and develop an understanding of the underlying effects and mechanisms that caused the conditions conducive to whisker growth.

Exploring the convergence between sustainability and local innovation systems from a southern perspective: What Brazilian empirical evidence has to offer

2019 ◽  
Vol 34 (8) ◽  
pp. 825-837
Author(s):  
Maria Gabriela Podcameni ◽  
José Eduardo Cassiolato ◽  
Maria Cecília Lustosa ◽  
Israel Marcellino ◽  
Pedro Rocha
Keyword(s):  
Empirical Evidence ◽  
Case Studies ◽  
Theoretical Approach ◽  
Final Section ◽  
Innovation Systems ◽  
Research Network ◽  
Productive Systems ◽  
The Relationship ◽  
Local Innovation Systems

In this paper, we address some important issues regarding innovation, sustainability and entrepreneurship in selected case studies based on the Local Innovative and Productive Systems (LIPSs) approach. First, we provide a brief overview of the LIPSs theoretical approach and discuss the relationship between LIPS and sustainability, and then we analyze selected case studies from Brazil in order to understand the relationship between LIPS and sustainability. The case study summarized here were extensive studies carried out by researchers related to a research network specialized in LIPS called RedeSist. The final section provides a brief analysis of how LIPSs have incorporated sustainability and the challenges yet to face.

Case Studies in Atomic Force Probe Analysis

2006 ◽  
Author(s):  
Randal Mulder ◽  
Sam Subramanian ◽  
Tony Chrastecky
Keyword(s):  
Failure Analysis ◽  
Case Studies ◽  
Light Emission ◽  
Electrical Characterization ◽  
Logic Circuits ◽  
Contrast Imaging ◽  
Atomic Force ◽  
Measuring Surface ◽  
Analysis Environment

Abstract The use of atomic force probe (AFP) analysis in the analysis of semiconductor devices is expanding from its initial purpose of solely characterizing CMOS transistors at the contact level with a parametric analyzer. Other uses found for the AFP include the full electrical characterization of failing SRAM bit cells, current contrast imaging of SOI transistors, measuring surface roughness, the probing of metallization layers to measure leakages, and use with other tools, such as light emission, to quickly localize and identify defects in logic circuits. This paper presents several case studies in regards to these activities and their results. These case studies demonstrate the versatility of the AFP. The needs and demands of the failure analysis environment have quickly expanded its use. These expanded capabilities make the AFP more valuable for the failure analysis community.

scholarly journals Mid-level generalizations of generative linguistics: Experimental robustness, cognitive underpinnings and the interdisciplinarity paradox

2020 ◽  
Vol 39 (3) ◽  
pp. 357-374
Author(s):  
Evelina Leivada
Keyword(s):  
Case Studies ◽  
21St Century ◽  
Universal Grammar ◽  
Generative Syntax ◽  
Generative Linguistics ◽  
The Road ◽  
Rigorous Testing ◽  
Rule Out

Abstract This work examines the nature of the so-called “mid-level generalizations of generative linguistics” (MLGs). In 2015, Generative Syntax in the 21st Century: The Road Ahead was organized. One of the consensus points that emerged related to the need for establishing a canon, the absence of which was argued to be a major challenge for the field, raising issues of interdisciplinarity and interaction. Addressing this challenge, one of the outcomes of this conference was a list of MLGs. These refer to results that are well established and uncontroversially accepted. The aim of the present work is to embed some MLGs into a broader perspective. I take the Cinque hierarchies for adverbs and adjectives and the Final-over-Final Constraint as case studies in order to determine their experimental robustness. It is showed that at least some MLGs face problems of inadequacy when tapped into through rigorous testing, because they rule out data that are actually attested. I then discuss the nature of some MLGs and show that in their watered-down versions, they do hold and can be derived from general cognitive/computational biases. This voids the need to cast them as language-specific principles, in line with the Chomskyan urge to approach Universal Grammar from below.

scholarly journals Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Johannes Masino ◽  
Jakob Thumm ◽  
Guillaume Levasseur ◽  
Michael Frey ◽  
Frank Gauterin ◽  
...  
Keyword(s):  
Data Mining ◽  
Support Vector ◽  
Matlab Toolbox ◽  
Data Set ◽  
The Road ◽  
Acceleration Sensors ◽  
Road Surfaces ◽  
Road Condition ◽  
Sensor Signals

This work aims at classifying the road condition with data mining methods using simple acceleration sensors and gyroscopes installed in vehicles. Two classifiers are developed with a support vector machine (SVM) to distinguish between different types of road surfaces, such as asphalt and concrete, and obstacles, such as potholes or railway crossings. From the sensor signals, frequency-based features are extracted, evaluated automatically with MANOVA. The selected features and their meaning to predict the classes are discussed. The best features are used for designing the classifiers. Finally, the methods, which are developed and applied in this work, are implemented in a Matlab toolbox with a graphical user interface. The toolbox visualizes the classification results on maps, thus enabling manual verification of the results. The accuracy of the cross-validation of classifying obstacles yields 81.0% on average and of classifying road material 96.1% on average. The results are discussed on a comprehensive exemplary data set.

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