scholarly journals Evaluasi Optimizer pada Residual Network untuk Klasifikasi Klon Teh Seri GMB Berbasis Citra Daun

2021 ◽  
Vol 9 (4) ◽  
pp. 841
Author(s):  
KOREDIANTO USMAN ◽  
NOR KUMALASARI CAECAR PRATIWI ◽  
NUR IBRAHIM ◽  
HERI SYAHRIAN ◽  
VITRIA PUSPITASARI RAHADI
Keyword(s):  
Economic Development ◽  
Visual Observation ◽  
System Evaluation ◽  
Test Results ◽  
Tea Leaves ◽  
Residual Network ◽  
Identification Scheme ◽  
Average Accuracy ◽  
High Degree

ABSTRAKKomoditas teh berperan strategis terhadap pertumbuhan perekonomian Indonesia, salah satunya dari teh klon Gambung (GMB). Klon GMB memiliki beberapa karakter khas, dengan tingkat kemiripan morfologi yang sangat tinggi. Hal ini berdampak pada proses pengenalan klon GMB dilakukan melalui pengamatan visual oleh tenaga ahli sangat rentan terhadap kesalahan identifikasi. Sehingga, dalam penelitian ini dirancang suatu sistem identifikasi terhadap 11 klon teh seri GMB (GMB-1 hingga GMB-11) dengan menggunakan arsitektur ResNet101. Evaluasi sistem akan dilakukan dengan membandingkan tujuh algoritma optimizer yang berbeda, yaitu; Adam, SGD, RMSProp, AdaGrad, AdaMax, AdaDelta dan Nadam. Hasil pengujian menunjukkan bahwa Adam dan SGD memberikan nilai rata-rata presisi, recall dan F1-score terbaik. Selain itu, Adam memberikan nilai akurasi yang cenderung stabil sejak iterasi pertama. Metode yang diusulkan memberikan tingkat presisi, recall, F1-score sebesar 96% dan akurasi terbaik sebesar 97%.Kata kunci: klasifikasi daun teh, seri Gambung (GMB), CNN, ResNet101 ABSTRACTGambung (GMB) tea is one of the tea commodities that plays a key role in Indonesia's economic development. GMB clones have a number of distinguishing characteristics, including a high degree of morphological similarities. This has an impact on the process of identifying GMB clones through visual observation by experts who are subject to mistakes. In this study, ResNet101 architecture was used to create an identification scheme for 11 tea clones from the GMB series (GMB-1 to GMB-11). System evaluation will be carried out by comparing seven different optimizer; Adam, SGD, RMSProp, AdaGrad, AdaMax, AdaDelta, and Nadam. The test results indicate that Adam and SGD have the highest average accuracy, recall, and f1-score values. Adam also has an accuracy value that has remained consistent since the first iteration. The proposed method provides highest precision, recall, F1-score of 96% and accuracy of 97%.Keywords: tea leaves classification, GMB series, CNN, ResNet101

scholarly journals Rural Financial Development Impacts on Agricultural Technology Innovation: Evidence from China

2021 ◽  
Vol 18 (3) ◽  
pp. 1110
Author(s):  
Yuyu Liu ◽  
Duan Ji ◽  
Lin Zhang ◽  
Jingjing An ◽  
Wenyan Sun
Keyword(s):  
Economic Development ◽  
Financial Development ◽  
Agricultural Development ◽  
Technology Innovation ◽  
Agricultural Technology ◽  
Rural Finance ◽  
Rural Economic Development ◽  
High Degree ◽  
The Impact ◽  
Positive Effect

Agricultural technology innovation is key for improving productivity, sustainability, and resilience in food production and agriculture to contribute to public health. Using panel data of 31 provinces in China from 2003 to 2015, this study examines the impact of rural financial development on agricultural technology innovation from the perspective of rural financial scale and rural finance efficiency. Furthermore, it examines how the effects of rural financial development vary in regions with different levels of marketization and economic development. The empirical results show that the development of rural finance has a significant and positive effect on the level of agricultural technology innovation. Rural finance efficiency has a significantly positive effect on innovation in regions with a low degree of marketization, while the rural financial scale has a significantly positive effect on technological innovation in regions with a high degree of marketization. Further analysis showed that improving the level of agricultural technology innovation is conducive to rural economic development. This study provides new insights into the effects of rural financial development on sustainable agricultural development from the perspective of agricultural technology innovation.

scholarly journals UNDERWATER MOUND FOR THE PROTECTION OF DURBAN'S BEACHES

1970 ◽  
Vol 1 (12) ◽  
pp. 62 ◽  
Author(s):  
J.A. Zwaborn ◽  
G.A.W. Fromme ◽  
J.B. FitzPatrick
Keyword(s):  
Settling Velocity ◽  
Scale Effects ◽  
Similarity Criterion ◽  
Test Results ◽  
Beach Profile ◽  
Reasonable Degree ◽  
Model Predictions ◽  
Profile Changes ◽  
High Degree ◽  
Movable Bed

The construction of an underwater mound of sand for the protection and improvement of Durban's beaches has been recommended on the basis of intensive investigations These investigations included prototype measurements of beach changes as related to recorded sea conditions, basic scaling tests in which these beach changes were reproduced to scale in movable bed models and tests of the proposed underwater mound in models, using different scales in order to eliminate possible scale effects The test results showed that, provided the shear-settling velocity similarity criterion is satisfied, beach changes can be reproduced in a movable bed model to a reasonable degree of accuracy Optimum dimensions for the cross section of the mound were determined on the basis of the criterion for erosive and non-erosive wave conditions which was derived from the prototype beach profile changes and confirmed by model tests The resulting dimensions are a mound of sand about 4 5 km long, about 1 200 m offshore, reaching to 7 3 m below LWOST, with side slopes of 1 in 25 and a crest width of 61 m 3 3 Of the total quantity required (8 000 000 m ) some 2 500 000 m of sand, available from harbour dredging works in Durban Bay, had been dumped by May, 1970 Model predictions on mound stability and beach improvements were confirmed to a high degree of accuracy by the full scale events.

scholarly journals PLASTIC CARDS AS THE MAIN SECTOR OF CASHLESS PAYMENTS

2018 ◽  
pp. 76-79 ◽  
Author(s):  
S. O. Kushu ◽  
Y. A. Sobka
Keyword(s):  
Economic Development ◽  
Banking Sector ◽  
Economic Activities ◽  
Tax Base ◽  
Financial Condition ◽  
Motivational Aspect ◽  
Calculation Methodology ◽  
Single Strategy ◽  
High Degree ◽  
The Impact

The article discusses the impact of plastic cards on minimizing the risks of the organization. Non-cash payments - is an integral part of the management of financial and economic activities of the banking sector within the framework of a single strategy of economic development, which is a process of systematic use of the optimal legal methods and methods to establish the desired future financial condition of the object in terms of limited resources and the possibility of their alternative use. The process of using plastic cards should be considered in a number of ways. The organizational aspect assesses the degree of formalization and regulation of the use of cashless payments. It is clear that the higher the degree of regulation of procedures, the higher the predictability and manageability of the process of cashless payments. Coordination is the degree of coordination among the participants. It is the result of a high degree of regulation of the process or effective operational work of the Department of non-cash payments. The methodology reflects the compliance of plastic cards calculation methodology adopted by the company, its production characteristics and financial and economic structure. The value of the motivational aspect of non-cash payments is that it makes it possible to stimulate the results of the work of the head, or the entire Department of non-cash payments. Stimulation is made by means of inclusion in the budget of division of the bonus Fund which can be used for payment of awards to employees of division and its head. The need to calculate Bank cards is inherent in the legislation itself, which provides for certain regimes for different situations, allows different methods for calculating the tax base and offers various benefits if they act in the desired directions to the authorities. In addition, the process of calculating plastic cards is due to the interest of the state in providing a number of advantages in order to stimulate any sphere of production, category, regulation of socio-economic development.

scholarly journals Analysis of Social Media Users Sentiments against Omnibus Law Based on Hashtags on Twitter

SISTEMASI ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 197
Author(s):  
Okta Fanny ◽  
Heri Suroyo
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Main Topic ◽  
Accuracy Score ◽  
Test Results ◽  
Bayes Classifier ◽  
The Public ◽  
Average Accuracy ◽  
Positive Sentiment ◽  
Negative Sentiment

From the research that has been done, it can be concluded that Sentiment Analysis can be used to know the sentiment of the public, especially Twitter netizens against omnibus law. After the sentiment analysis, it looks neutral artmen with the largest percentage of 55%, then positive sentiment by 35% and negative sentiment by 10%. The results of the analysis showed that the Naïve Bayes Classifier method provides classification test results with accuracy in Hashtag Pro with an average accuracy score of 92.1%, precision values with an average of 94.8% and recall values with an average of 90.7%. While Hashtag Counter For data classification, with an average accuracy value of 98.3%, precision value with an average of 97.6% and recall value with an average of 98.7%. The result of text cloud analysis conducted on a combination of hashtags both Hashtag pros and Hashtags cons, the dominant word appears is Omnibus Law which means that all hashtags in scrap is really discussing the main topic that is about Omnibus Law

scholarly journals Clinically accurate diagnosis of Alzheimer’s disease via multiplexed sensing of core biomarkers in human plasma

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Kayoung Kim ◽  
Min-Ji Kim ◽  
Da Won Kim ◽  
Su Yeong Kim ◽  
Steve Park ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Human Plasma ◽  
Sensor Array ◽  
Neurodegenerative Disorder ◽  
Limit Of Detection ◽  
Average Accuracy ◽  
Severity Of The Disease ◽  
High Degree ◽  
T Tau

AbstractAlzheimer’s disease (AD) is the most prevalent neurodegenerative disorder, affecting one in ten people aged over 65 years. Despite the severity of the disease, early diagnosis of AD is still challenging due to the low accuracy or high cost of neuropsychological tests and neuroimaging. Here we report clinically accurate and ultrasensitive detection of multiple AD core biomarkers (t-tau, p-tau181, Aβ42, and Aβ40) in human plasma using densely aligned carbon nanotubes (CNTs). The closely packed and unidirectionally aligned CNT sensor array exhibits high precision, sensitivity, and accuracy, evidenced by a low coefficient of variation (<6%), a femtomolar-level limit of detection, and a high degree of recovery (>93.0%). By measuring the levels of t-tau/Aβ42, p-tau181/Aβ42, and Aβ42/Aβ40 in clinical blood samples, the sensor array successfully discriminates the clinically diagnosed AD patients from healthy controls with an average sensitivity of 90.0%, a selectivity of 90.0%, and an average accuracy of 88.6%.

scholarly journals FRAMEWORK OF AN AMBIDEXTROUS PROCESS OF IDEA MANAGEMENT SUPPORTING THE DOWNSTREAM PRODUCT DEVELOPMENT PROCESS

2020 ◽  
Vol 1 ◽  
pp. 587-596
Author(s):  
T. Herrmann ◽  
D. Roth ◽  
H. Binz
Keyword(s):  
Design Process ◽  
Process Model ◽  
Development Process ◽  
Product Development Process ◽  
Test Results ◽  
Initial Test ◽  
Front End ◽  
High Degree ◽  
Idea Management ◽  
Radical Ideas

AbstractOne challenge within idea management of the front end of the design process is the handling of radical ideas, meaning ideas with a high degree of novelty. Companies are approaching radical and incremental ideas frequently with the same methods, although many reasoned claims exists for treating ideas differently according to the degree of novelty. The paper aims to address the fact that ambidexterity does not play any specific role in the front end. Therefore, a framework of an extended idea process model based on the idea of ambidexterity is shown and initial test results are presented.

scholarly journals Detection of Microaneurysms in Fundus Images Based on an Attention Mechanism

Genes ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 817
Author(s):  
Lizong Zhang ◽  
Shuxin Feng ◽  
Guiduo Duan ◽  
Ying Li ◽  
Guisong Liu
Keyword(s):  
Detection Method ◽  
Preliminary Test ◽  
Attention Mechanism ◽  
Fundus Images ◽  
Test Results ◽  
Average Accuracy ◽  
Multiple Feature ◽  
Retinal Fundus Images ◽  
Retinal Fundus

Microaneurysms (MAs) are the earliest detectable diabetic retinopathy (DR) lesions. Thus, the ability to automatically detect MAs is critical for the early diagnosis of DR. However, achieving the accurate and reliable detection of MAs remains a significant challenge due to the size and complexity of retinal fundus images. Therefore, this paper presents a novel MA detection method based on a deep neural network with a multilayer attention mechanism for retinal fundus images. First, a series of equalization operations are performed to improve the quality of the fundus images. Then, based on the attention mechanism, multiple feature layers with obvious target features are fused to achieve preliminary MA detection. Finally, the spatial relationships between MAs and blood vessels are utilized to perform a secondary screening of the preliminary test results to obtain the final MA detection results. We evaluated the method on the IDRiD_VOC dataset, which was collected from the open IDRiD dataset. The results show that our method effectively improves the average accuracy and sensitivity of MA detection.

scholarly journals Trade and economic development: global causality and development- and openness-related heterogeneity

2020 ◽  
Vol 17 (4) ◽  
pp. 923-944
Author(s):  
T. Gries ◽  
M. Redlin
Keyword(s):  
Economic Development ◽  
Trade Openness ◽  
Panel Cointegration ◽  
Ordinary Least Squares ◽  
Development Stage ◽  
Long Run ◽  
Short Run ◽  
Method Of Moments Estimation ◽  
General Method Of Moments ◽  
High Degree

Abstract This paper reconsiders the classic relationship between trade and economic development. We examine the short-term and long-run dynamics between trade and income for 167 countries over the period 1970–2011 and assume that the effect is not homogenous for all countries but rather varies according to the development stage and the degree of trade openness. We apply panel cointegration, Granger causality and panel error correction in combination with Dynamic Ordinary Least Squares and General Method of Moments estimation to explore the causal relationship between these two variables. The results suggest a statistically significant positive short-run and long-run global relationship between trade and income. However, when splitting the panel into different income and trade openness groups, a long-run relationship is observed only for high-income countries and countries with a relatively high degree of trade openness.

Understanding Inverse Fracture: A Comparison of Results of Drop Weight Tear Tests and Partial Gas Tests

2018 ◽  
Author(s):  
Marion Erdelen-Peppler ◽  
Christoph Kalwa ◽  
Alexander Völling
Keyword(s):  
Crack Initiation ◽  
Large Deflection ◽  
Good Representation ◽  
Test Results ◽  
Fracture Test ◽  
Drop Weight ◽  
Transitional Behavior ◽  
Adverse Influence ◽  
Shear Area ◽  
High Degree

For a safe operation of gas pipelines, the prevention of propagating brittle facture is one of the most important requirements. To evaluate the transition temperature of a propagating fracture, the Drop Weight Tear (DWT) Test was developed in the 60s. Fracture surfaces of DWT specimens have been shown to correspond well to the fracture surface of a pipe exposed to a propagating fracture at a certain temperature. Historically, there have always been observations of the fracture initiating in a ductile manner in the DWT test. Nevertheless, the most widely used test standard rules out such behavior, known as inverse or abnormal fracture. As an option to prevent ductile initiation, an alternative notch is proposed. While this might have served in the earlier days, high toughness steels of today are known to provide a high resistance against crack initiation and are therefore prone to inverse fracture, even when making use of the suggested alternative notch. Other, non-standard notch types have been investigated and discussed in literature, amongst these the static pre-crack and brittle weld notch. Observations of the DWT test, especially comparing material showing non-inverse and inverse behaviour, show delayed crack initiation resulting in large deflection when the specimens are inverse. This high degree of pre-deformation of the material will have an adverse influence on the material performance by the time the crack propagates into it. This implies that the appearance of inverse fracture is a test effect in the laboratory test, and not an inherent material property, leading to the question if such DWT test results still correspond to the behavior of pipes. If the correlation is shown to be valid, the brittle initiation requirement as such becomes questionable. This study summarises investigations of different notch types in DWT tests. West Jefferson tests that have been conducted to verify the correlation to shear area fraction in DWT tests. The investigation revealed that ductile initiation could not be reliably suppressed. While neither Chevron nor static pre-crack specimen lead to any reduction of the occurrence of inverse fracture, test series of brittle weld specimens did have a higher number of valid specimens. Interestingly, the results of valid, non-inverse specimens and invalid, inverse specimens showed no shift in transitional behavior. Correspondingly, both valid and invalid specimens showed a good representation of the pipe behaviour in the upper transition region.

scholarly journals Novel form-flexible handling and joining tool for automated preforming

2015 ◽  
Vol 22 (2) ◽  
pp. 199-213 ◽  
Author(s):  
Holger Kunz ◽  
Christian Löchte ◽  
Franz Dietrich ◽  
Annika Raatz ◽  
Fabian Fischer ◽  
...  
Keyword(s):  
Carbon Fiber ◽  
Material Selection ◽  
Production Method ◽  
Test Results ◽  
Fiber Reinforced Plastic ◽  
Level Of Automation ◽  
Reinforced Plastic ◽  
High Degree ◽  
Fiber Preforms ◽  
Heating Technology

AbstractThe production rates of carbon fiber reinforced plastic (CFRP) parts are rising constantly which in turn drives research to bring a higher level of automation to the manufacturing processes of CFRP. Resin transfer molding (RTM), which is seen as a production method for high volumes, has been accelerated to a high degree. However, complex net-shape preforms are necessary for this process, which are widely manually manufactured. To face these challenges a new concept for the manufacturing of carbon fiber preforms with a form-flexible gripping, draping and joining end-effector is presented and discussed. Furthermore, this paper investigates the application of this concept, describes the initial build-up of a demonstrator, focusing on material selection and heating technology, and discusses test results with the prototype. This prototype already validates the feasibility of the proposed concept on the basis of a generic preform geometry. After a summary, this paper discusses future in-depth research concerning the concept and its application in more complex geometries.

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