Impact of wavelength grouping method on waveband switching size in Japan topology network

Subject. This article examines the non-financial sector debt ratio relative to the GDP of emerging and developed market economies. Objectives. The article aims to find out what institutional units show debt growth or reduction, what causes and conditions prevent debt decline or lead to its growth in different countries and sectors, and highlight the foundations of public policy in this area. Methods. For the study, I used a cross-country comparative analysis, grouping method, and graphical and trend analyses. The study covers 43 market economies, including 26 developed and 17 emerging ones. The time period is from Q4 2001 to Q4 2019. Results. The article identifies and describes the structural debt changes that have taken place since 2008, which include a reduction in private sector leverage and rising public sector debt in developed market economies, and accelerated growth in the non-financial corporations and households' debt in emerging market economies. Conclusions and Relevance. Given the different conditions of access to the capital market and the institutional differences between developed and emerging market economies, different approaches to debt management are needed. The identified trends are important to develop non-financial sector debt management policies, including both fiscal and monetary policies.

Download Full-text

Novel Grouping Method-based support vector machine plus for structured data

Neurocomputing ◽

10.1016/j.neucom.2016.03.086 ◽

2016 ◽

Vol 211 ◽

pp. 191-201 ◽

Cited By ~ 3

Author(s):

Qiuling Hou ◽

Ling Zhen ◽

Naiyang Deng ◽

Ling Jing

Keyword(s):

Support Vector Machine ◽

Structured Data ◽

Support Vector ◽

Grouping Method

Download Full-text

Adaptive routing and spectrum allocation in Elastic waveband switching Optical Networks

2016 15th International Conference on Optical Communications and Networks (ICOCN) ◽

10.1109/icocn.2016.7875812 ◽

2016 ◽

Author(s):

Fanbo Meng ◽

Xiaoxue Gong ◽

Jingjing Wu ◽

Lei Guo

Keyword(s):

Optical Networks ◽

Adaptive Routing ◽

Spectrum Allocation ◽

Waveband Switching ◽

Routing And Spectrum Allocation

Download Full-text

A clustering based grouping method of nearly zero energy buildings for performance improvements

Applied Energy ◽

10.1016/j.apenergy.2018.10.116 ◽

2019 ◽

Vol 235 ◽

pp. 43-55 ◽

Cited By ~ 17

Author(s):

Pei Huang ◽

Yongjun Sun

Keyword(s):

Zero Energy ◽

Performance Improvements ◽

Grouping Method ◽

Zero Energy Buildings

Download Full-text

Aplicação de técnica estatística multivariada em indicadores de sustentabilidade nos municípios do Marajó-PA

Revista Principia - Divulgação Científica e Tecnológica do IFPB ◽

10.18265/1517-03062015v1n46p145-154 ◽

2019 ◽

Vol 1 (46) ◽

pp. 145

Author(s):

Diêgo Lima Crispim ◽

Lindemberg Lima Fernandes ◽

Roberta Luiza de Oliveira Albuquerque

Keyword(s):

Euclidean Distance ◽

Social Economic ◽

Statistical Technique ◽

Decision Makers ◽

Dissimilarity Matrix ◽

Homogeneous Groups ◽

Hierarchical Grouping ◽

Grouping Method ◽

Almost All ◽

Territorial Division

Indicators are important tools to guide and assist decision-makers. They are also important to get to know the scenario of a given place and monitor its development. This study aimed to analyze the behavior of the municipalities of Marajó-PA through indicators that cover social, economic, housing and sanitation, using a statistical technique of multivariate analysis to group these into a small number of homogeneous groups. In order to choose the indicators, we carried out a checklist of national, regional and local academic papers dealing with sustainability. Then, the indicators were standardized according to the different units and scales of measurement, not influencing the result and presenting similar weights in the calculation of the similarity coefficient. The measure of dissimilarity used was the euclidean distance and for the composition of the groupings the Ward and k-Means methods were applied. The result obtained using Ward’s hierarchical grouping method enabled the reduction of the numbers of municipalities to a number of 4 probable groups with similar attributes within the group and distinct among the others. It also presented a cofenetic correlation coefficient (CCC) of (r = 0.81), indicating a good degree of fit between the dendrogram and the dissimilarity matrix. The results indicated that the formation of the clusters and the municipalities integrated in them presented similarity both in the hierarchical and non-hierarchical methods. In the k-means method it was found that almost all municipalities that make territorial division remained within the same group.

Download Full-text

MANET of an Effective Defence Scheme for Suggestion Based Trust Model

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.e2753.0610521 ◽

2021 ◽

Vol 10 (5) ◽

pp. 453-456

Author(s):

Barath Kumar R ◽

Stalin Alex

Keyword(s):

Trust Model ◽

Time Dependent ◽

Critical Problem ◽

Trust Degree ◽

Course Changes ◽

Trust Models ◽

Grouping Method ◽

Indirect Trust ◽

Set Up ◽

Difficult Issue

The immovable nature of passing on packages through multi -bounce middle hubs is a critical problem in the versatile impromptu organizations (MANETs). The disseminated versatile hubs set up associations with structure the MANET, which may incorporate childish and getting into mischief hubs. Suggestion based trust the board is proposed in the creating as a system to evaluate through the acting up hubs while looking for a bundle conveyance course. Nonetheless, building a trust model that embraces suggestions by different hubs in the organization is a difficult issue because of the danger of deceptive proposals like reviling, voting form stuffing, and conspiracy. we examines the issues identified with assaults presented by getting rowdy hubs while proliferating suggestions in the current trust models. We propose a suggestion based trust model with a safeguard plot, which uses grouping method to progressively sift through assaults identified with exploitative proposals between certain time dependent on number of collaborations, similarity of data and closeness between the hubs. We evaluate the trust degree as two cases like direct and indirect trust values between neighboring nodes from source. To form a clustering routing network from similar trust values from S to D.The model is experimentally tried under a few portable and detached geographies in which hubs experience changes in their local prompting regular course changes. The observational investigation shows heartiness and exactness of the trust model in a dynamic MANET climate.

Download Full-text

Clinical Observation on the Effect of Chinese Medicine Five-Color Therapy on the Treatment of Children with Chronic Urticaria

Journal of Clinical and Nursing Research ◽

10.26689/jcnr.v4i3.1229 ◽

2020 ◽

Vol 4 (3) ◽

Author(s):

Yu Zhu ◽

Lu Shi

Keyword(s):

Chinese Medicine ◽

Traditional Chinese Medicine ◽

Chronic Urticaria ◽

Statistical Significance ◽

Effective Rate ◽

Control Group ◽

Color Treatment ◽

Income Data ◽

Grouping Method ◽

Experimental Group

Objective: To analyze the clinical treatment effect of traditional Chinese medicine five-color therapy on chronic urticaria in children. Methods: The income data target of this article is 80 children with chronic urticaria. The grouping method is a randomized method with 40 children in each group. The experimental group was treated with five-color treatment of traditional Chinese medicine, and the control group was treated with western medicine. The incidence, treatment and recurrence of adverse reactions in children with chronic urticaria were compared between the two groups. Results: Showed total effective rate of children with chronic urticaria in the experimental group was compared with the control group, P<0.05, the data showed statistical significance. Conclusion: Stated use of TCM five-color therapy in the treatment of children with chronic urticaria can significantly improve safety.

Download Full-text

Identifikasi Kematangan Cabai Menggunakan Operasi Morfologi (Opening dan Closing) dan Metode Backpropagation

SISTEMASI ◽

10.32520/stmsi.v10i1.1094 ◽

2021 ◽

Vol 10 (1) ◽

pp. 96

Author(s):

Khairullah Khairullah ◽

Erwin Dwika Putra

Keyword(s):

Image Processing ◽

Digital Image Processing ◽

Confusion Matrix ◽

Training Data ◽

Morphological Operations ◽

Morphological Operation ◽

Backpropagation Method ◽

Grouping Method ◽

Opening And Closing

AbstrakIdentifikasi kualitas buah cabai biasanya masih menggunakan cara visual secara langsung atau sortir secara manual oleh petani, dengan menggunakan sistem ini sering kali terjadi beberapa kesalahan setiap melakukan sortir yang disebabkan oleh petani yang melakukan sortir merasa terlalu lelah. Dengan menggunakan komputasi pengolahan citra digital, untuk melakukan identifikasi pengelompokan buah cabai yang matang dan mentah dapat membantu para petani, Teknik pengelompokan ini akan menggunakan metode pengelompokan berdasarkan warna. Metode pengelompokan tersebut sebelumnya akan dilakukan operasi morfologi pada citra yang telah diambil. Pendekatan operasi morfologi pada penelitian ini adalah Opening and Closing, pada operasi morfologi akan menghilangkan noise dan menebalkan objek dari inputan gambar. Metode Bacpropagatioan akan mengolah data latih sebanyak 10 data latih mendapatkan 6 iterasi perhitungan dan setelah diuji menggunakan data uji hasil yang didapatkan yaitu tingkat pengenalan rata-rat mendapatkan perhitungan sebanyak 7 iterasi metode Bacpropagation. Hasil dari penelitian ini juga dihitung menggunakan Confusion Matrix dimana nilai Precision 90%, Recall 74%, dan Accuracy 70%, maka dapat disimpulkan bahwa Operasi Morfologi dan Metode Backpropagation dapat digunakan untuk mengidentifikasi objek cabai.Kata Kunci: backpropagation, morfologi, identifikasi, opening and closing AbstractIdentification of the quality of chili fruit is usually still using a visual way directly or sorting manually by farmers, using this system often occurs several errors, every sorting caused by farmers who do the sorting feel too tired. By using digital image processing computing, to identify the grouping of ripe and raw chili fruits can help farmers, this grouping technique will use a method of grouping based on color. The grouping method will previously perform morphological surgery on the image that has been taken. The morphological operation approach in this study is Opening and Closing, in morphological operations will eliminate noise and thicken objects from image input. Bacpropagatioan method will process training data as much as 10 training data get 6 iterations of calculations and after being tested using the test data obtained results that is the level of introduction of the average rat get a calculation of 7 iterations bacpropagation method. The results of this study were also calculated using Confusion Matrix where precision values of 90%, Recall 74%, and Accuracy 70%, it can be concluded that Morphological Operations and Backpropagation Method can be used to identify chili objects.Keywords: backpropagation, morfologi, identification, opening and closing

Download Full-text