An Integrated Methodology for QOS Driven Reusable Component Design and Component Selection

2007 ◽  
Author(s):  
Ankur Agarwal ◽  
Georgiana Hamza-Lup ◽  
Ravi Shankar ◽  
James Ansley
Keyword(s):  
Reusable Component ◽  
Component Selection ◽  
Integrated Methodology ◽  
Component Design

scholarly journals Recommendation-Based Component Selection for Component-Based Systems

2019 ◽  
Vol 8 (3) ◽  
pp. 6605-6611
Keyword(s):  
Business Processes ◽  
Focal Point ◽  
Search Space ◽  
Data Mining Algorithm ◽  
Software Components ◽  
Reusable Components ◽  
Reusable Component ◽  
Component Selection ◽  
And Performance ◽  
Selection Of

Selection of reusable software components in software repositories to facilitate quality software development has always been a focal point and a big concern for software researchers. One of the most time-consuming tasks in software reusability is tracing and retrieving software components from a large repository. The selection of inapt software package can result in high cost and ultimately becomes a prime source of adverse outcome in business processes and performance of the organization. Creation of quality software depends upon the selection of the best set of components among all the alternatives present in the reusable component repository. Frequently used sets of components can be obtained by using mining algorithms. This paper proposes a component selection methodology and a method for retrieval of the optimal set of reusable components from the repository. Case-based retrieval is applied for initial filtering of components to narrow down the search space. A data mining algorithm is applied to extract the candidate set of components for a given case. Most frequent set of components aid the decision-maker to select the finest component set and also assist in suggesting the supplementary components for the case to match with the latest updates.

REUSABLE COMPONENT-BASED ARCHITECTURE FOR DECISION TREE ALGORITHM DESIGN

2012 ◽  
Vol 21 (05) ◽  
pp. 1250022 ◽  
Author(s):  
MILAN VUKIĆEVIĆ ◽  
MILOŠ JOVANOVIĆ ◽  
BORIS DELIBAŠIĆ ◽  
SONJA IŠLJAMOVIĆ ◽  
MILIJA SUKNOVIĆ
Keyword(s):  
Decision Tree ◽  
Algorithm Design ◽  
Technology Enhanced Learning ◽  
Decision Tree Algorithm ◽  
Tree Algorithm ◽  
Reusable Component ◽  
Component Design ◽  
Tree Algorithms ◽  
Time Gap ◽  
Enhanced Learning

Many decision tree algorithms were proposed over the last few decades. A lack of publishing standards for decision tree algorithm software produced a large time gap between algorithm proposals and their wider application in practice. Non-existence of common repository for storing algorithms and their parts led to a need to re-implement these algorithms from a scratch when they had to be implemented on a different platform. This makes the comparison between algorithms and their partial improvements vague. In addition, combinations and interactions between different algorithm parts haven't been analyzed thoroughly. Reusable component design of decision tree algorithms has been recently suggested as a potential solution to these problems. In this paper we describe an architecture for component-based (white-box) decision tree algorithm design, and we present an open-source framework which enables design and fair testing of decision tree algorithms and their parts. This architecture and developed platform can provide the research community with a common codebase for storing, designing, and evaluating decision tree algorithms (traditional, multivariate and hybrid) and their partial improvements. It is intended for data mining practitioners, algorithm and software developers, and as well for students, as a technology enhanced learning tool.

INTEGRATED METHODOLOGY FOR TAKING INTO ACCOUNT THE VIEWS AND OPINONSOF INDIGENOUS PEOPLES IN THEIR INTERACTION WITH PUBLIC AUTHORITIES (ON THE EXAMPLE OF THE YAMAL-NENETS AUTONOMOUS DISTRICT)

2020 ◽  
Vol 6 (2) ◽  
pp. 124-147
Author(s):  
Elena F. GLADUN ◽  
Gennady F. DETTER ◽  
Olga V. ZAKHAROVA ◽  
Sergei M. ZUEV ◽  
Lyubov G. VOZELOVA
Keyword(s):  
Indigenous Peoples ◽  
Citizen Participation ◽  
Indigenous Communities ◽  
The Arctic ◽  
Legal Issue ◽  
Public Authorities ◽  
Autonomous District ◽  
Integrated Methodology ◽  
The World ◽  
Nenets Autonomous

Developing democracy institutions and citizen participation in state affairs, the world community focuses on postcolonial studies, which allow us to identify new perspectives, set new priorities in various areas, in law and public administration among others. In Arctic countries, postcolonial discourse has an impact on the methodology of research related to indigenous issues, and this makes possible to understand specific picture of the world and ideas about what is happening in the world. Moreover, the traditions of Russian state and governance are specific and interaction between indigenous peoples and public authorities should be studied with a special research methodology which would reflect the peculiarities of domestic public law and aimed at solving legal issue and enrich public policy. The objective of the paper is to present a new integrated methodology that includes a system of philosophical, anthropological, socio-psychological methods, as well as methods of comparative analysis and scenario development methods to involve peripheral communities into decision-making process of planning the socio-economic development in one of Russia’s Arctic regions — the Yamal-Nenets Autonomous District and to justify and further legislatively consolidate the optimal forms of interaction between public authorities and indigenous communities of the North. In 2020, the Arctic Research Center conducted a sociological survey in the Shuryshkararea of the Yamal-Nenets Autonomous District, which seems to limit existing approaches to identifying public opinion about prospects for developing villages and organizing life of their residents. Our proposed methodology for taking into account the views of indigenous peoples can help to overcome the identified limitations.

scholarly journals Towards a Methodology for Component Design of Metallic AM Parts Subjected to Cyclic Loading

Metals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 709
Author(s):  
Uwe Zerbst ◽  
Mauro Madia ◽  
Giovanni Bruno ◽  
Kai Hilgenberg
Keyword(s):  
Unsolved Problem ◽  
Fatigue Cracks ◽  
Special Focus ◽  
Laser Powder Bed Fusion ◽  
Powder Bed ◽  
Lack Of Fusion ◽  
Fatigue Design ◽  
Component Design ◽  
Similar Temperature ◽  
Potential Improvement

The safe fatigue design of metallic components fabricated by additive manufacturing (AM) is still a largely unsolved problem. This is primarily due to (a) a significant inhomogeneity of the material properties across the component; (b) defects such as porosity and lack of fusion as well as pronounced surface roughness of the as-built components; and (c) residual stresses, which are very often present in the as-built parts and need to be removed by post-fabrication treatments. Such morphological and microstructural features are very different than in conventionally manufactured parts and play a much bigger role in determining the fatigue life. The above problems require specific solutions with respect to the identification of the critical (failure) sites in AM fabricated components. Moreover, the generation of representative test specimens characterized by similar temperature cycles needs to be guaranteed if one wants to reproducibly identify the critical sites and establish fatigue assessment methods taking into account the effect of defects on crack initiation and early propagation. The latter requires fracture mechanics-based approaches which, unlike common methodologies, cover the specific characteristics of so-called short fatigue cracks. This paper provides a discussion of all these aspects with special focus on components manufactured by laser powder bed fusion (L-PBF). It shows how to adapt existing solutions, identifies fields where there are still gaps, and discusses proposals for potential improvement of the damage tolerance design of L-PBF components.

scholarly journals Difference in patient-reported outcomes of various patellar component designs in total knee arthroplasty: A randomized clinical study

2021 ◽  
Vol 29 (1) ◽  
pp. 230949902199606
Author(s):  
Takeshi Mochizuki ◽  
Koichiro Yano ◽  
Katsunori Ikari ◽  
Ken Okazaki
Keyword(s):  
Knee Osteoarthritis ◽  
Clinical Effects ◽  
Patellar Component ◽  
American College Of Rheumatology ◽  
Randomized Clinical Study ◽  
Component Design ◽  
Patient Reported ◽  
Total Knee ◽  
The Difference ◽  
And Function

Purpose: This study investigated the clinical effects of different patellar components without being affected by the femoral component design in total knee arthritis (TKA) for patients with knee osteoarthritis (OA). Methods: In total, 48 patients with OA who met the criteria of the American College of Rheumatology for OA were enrolled and randomly assigned in a 1:1 ratio to two groups according to the usage of patellar component design for TKA (medialized dome type [dome group] or medialized anatomic type [anatomic group]). To evaluate the clinical outcomes for TKA, knee range of motion (ROM), pain intensity of 0–100 mm visual analog scale (pain VAS), and the Japanese Knee Osteoarthritis Measure (JKOM) score were obtained at baseline and year 1. Results: The difference in knee ROM, pain VAS, or total JKOM score at year 1 was not significant between the dome and anatomic groups ( p = 0.398, 0.733 and 0.536, respectively). Moreover, similar results were obtained for changes in knee ROM, pain VAS, or total JKOM scores from baseline. In both groups, the pain VAS and total JKOM scores were significantly improved at year 1. Conclusion: Both dome and anatomic groups in TKA are significantly effective for pain and function using the JKOM score. However, their efficacy did not differ, according to the JKOM score. Results of this study are rare information focusing on the patellar component design and provide one of the insights into the TKA clinical management.

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