Estimation of Call Quality for Low Performance Servers

2017 ◽  
pp. 161-172 ◽  
Author(s):  
Jan Rozhon ◽  
Jakub Safarik ◽  
Erik Gresak ◽  
Lukas Macura
Keyword(s):  
Low Performance

ANALISIS KINERJA PABRIK TEH HITAM “PAHIT MADU”

2013 ◽  
Vol 13 (3) ◽  
Author(s):  
Djawardi Djawardi ◽  
Yustiar Gunawan
Keyword(s):  
Heat Exchanger ◽  
Production Process ◽  
Black Tea ◽  
Production Equipment ◽  
Standard Means ◽  
Fluid Bed ◽  
Calculation Results ◽  
Low Performance ◽  
Equipment Utilization

The business unit's black tea processing of Perkebunan Nusantara suffered a loss of approximately Rp.60 billion. This is caused by the failure to achieve the quality and quantity of production which has been targeted by the management. Black tea processing factory "Pahit Madu" is required to improve the performance of the production process. To improve the production of black tea starts from improved production equipment through improved equipment utilization. One method ofmeasuring the effectiveness of using an apparatus is Overall EquipmentEffectiveness (OEE). OEE calculation results show that black tea factory "Pahit Madu" for four (4) years under the standard. Means, the effectiveness of utilization of equipment in the factory black tea "Pahit Madu" was still very low. This was shown by the low performance equipment in the milling unit, drying unit and sortation unit. Toimprove the performance of the plant should begin by increasing the Cutting Tearing Curling (CTC) machine in milling stations, machines Fluid Bed Dryer (FBD) and Heat Exchanger (HE) at the drying stations, and Winnower machines at the sortation stations.

Sarcopenia is an actual problem in chronic kidney disease of the 5d stage

2020 ◽  
Vol 24 (1) ◽  
pp. 60-66
Author(s):  
I. V. Lavrishcheva ◽  
A. Sh. Rumyantsev ◽  
M. V. Zakharov ◽  
N. N. Kulaeva ◽  
V. M. Somova
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Muscle Mass ◽  
Chronic Kidney Disease Stage ◽  
Age Groups ◽  
Disease Stage ◽  
Actual Problem ◽  
European Working ◽  
Low Performance ◽  
6 Minute Walk Test

BACKGROUND. The lack of data on the epidemiology of presarcopenia/sarcopenia leads to an underestimation of the role of this condition in the structure of morbidity and mortality of haemodialysis patients in theRussian Federation. THE AIM: to study the epidemiological aspects of presarcopenia /sarcopenia in patients with chronic kidney disease stage 5d. PATIENTS AND METHODS. This study comprised 317 patients receiving programmed bicarbonate haemodialysis for 8.2 ± 5.1 years, among them 171 women and 146 men, the average age was 57.1 ± 11.3 years. The assessment of the presence of sarcopenia was performed using the method recommended by the European Working Group on Sarcopenia in Older People. RESULTS. The prevalence of presarcopenia was 0.7 % and sarcopenia 29.6 %. The incidence of skeletal muscle mass deficiency according to muscle mass index (IMM) was 30.3 %, 48.7 % showed a decrease in muscle strength according to dynamometry, and low performance of skeletal muscles according to 6 minute walk test was determined in 42.8 %. Sarcopenia patients were significantly characterized by lower body mass index, as well as higher body fat mass values. The duration of haemodialysis (χ2 = 22.376, p = 0.0001) and the patient's age (χ2 = 10.545 p = 0.014) were an independent risk factors for the development of sarcopenia. CONCLUSION. Sarcopenia is recorded more frequently in hemodialysis patients than presarcopenia. Its prevalence increases among patients of older age groups and with a hemodialysis duration of more than 5 years. The age and experience of dialysis make their independent contribution to the development of this syndrome.

Understanding the Persistent Low Performance of African Agriculture

2006 ◽  
Author(s):  
Sylvain Dessy ◽  
Jacques Ewoudou ◽  
Isabelle Ouellet
Keyword(s):  
Low Performance ◽  
African Agriculture

Resilient Factors in Students with Disabilities

2018 ◽  
Vol 5 (2) ◽  
pp. 23 ◽  
Author(s):  
Gustavo Rafael Escobar Delgado ◽  
Anicia Katherine Tarazona Meza ◽  
Andy Einstein García García
Keyword(s):  
Academic Performance ◽  
Students With Disabilities ◽  
Latin American ◽  
Descriptive Study ◽  
The Other ◽  
Disabled Students ◽  
Low Performance ◽  
The Relationship ◽  
Latin American Population

The research analyzes the relationship between factors of resilience and academic performance in disabled students studying at the Technical University of Manabí. It is a correlational descriptive study conducted with a population of 88 disabled students, of which two groups were selected, one with high academic performance and the other with low performance. A questionnaire was designed and applied to determine the level of quality of life and risk factors of adolescents. Resilience was measured with the SV-RES scale created for the Latin American population.

scholarly journals Traffic Type Recognition Method for Unknown Protocol—Applying Fuzzy Inference

Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 36
Author(s):  
Sang-Won Kim ◽  
Kee-Cheon Kim
Keyword(s):  
Fuzzy Inference ◽  
Static Field ◽  
Theoretical Background ◽  
Alignment Algorithm ◽  
Traffic Classification ◽  
Recognition Method ◽  
Inference System ◽  
Traffic Characteristics ◽  
Sequence Alignment Algorithm ◽  
Low Performance

In this paper, we propose a system that can recognize traffic types without prior knowledge of static features such as protocol header information by combining protocol analysis based on an ecological sequence alignment algorithm in a bioinformatics and fuzzy inference system. The algorithm proposed in this paper obtained up to a 91% level of performance at a similar level to several existing algorithms in experiments using datasets containing various types of traffic. In addition, it showed an excellent accuracy of 82.5% or more even under severe conditions that lowered the amount of data to a level of at least 40% or only included data in the middle of the traffic. This shows that the problem of dependence on initial data that frequently occurs in existing machine learning and deep learning-based traffic classification algorithms does not appear in the proposed algorithm. Furthermore, based on the ability to directly extract traffic characteristics without being dependent on static field values, it has secured the ability to respond with a small number of data by taking advantage of the flexibility of the membership function of the fuzzy inference engine. Through this, the applicability to low-power and low-performance environments such as IoT networks was confirmed. In this paper, we describe in detail the theoretical background for constructing such an algorithm and relevant experiments and considerations for actual verification.

Shear Capacity of Flexurally Strengthened Old Low-Performance Concrete Elements

2021 ◽  
pp. 102551
Author(s):  
Rami Eid ◽  
Ghali Jaber ◽  
Avraham N. Dancygier ◽  
Avigdor Rutenberg
Keyword(s):  
Shear Capacity ◽  
Low Performance ◽  
Concrete Elements

Review of short-text classification

2019 ◽  
Vol 15 (2) ◽  
pp. 155-182 ◽  
Author(s):  
Issa Alsmadi ◽  
Keng Hoon Gan
Keyword(s):  
Social Networks ◽  
Text Classification ◽  
Development Trend ◽  
Practical Reasons ◽  
Significant Implication ◽  
Classification Problems ◽  
Content Type ◽  
Short Text ◽  
Promising Area ◽  
Low Performance

PurposeRapid developments in social networks and their usage in everyday life have caused an explosion in the amount of short electronic documents. Thus, the need to classify this type of document based on their content has a significant implication in many applications. The need to classify these documents in relevant classes according to their text contents should be interested in many practical reasons. Short-text classification is an essential step in many applications, such as spam filtering, sentiment analysis, Twitter personalization, customer review and many other applications related to social networks. Reviews on short text and its application are limited. Thus, this paper aims to discuss the characteristics of short text, its challenges and difficulties in classification. The paper attempt to introduce all stages in principle classification, the technique used in each stage and the possible development trend in each stage.Design/methodology/approachThe paper as a review of the main aspect of short-text classification. The paper is structured based on the classification task stage.FindingsThis paper discusses related issues and approaches to these problems. Further research could be conducted to address the challenges in short texts and avoid poor accuracy in classification. Problems in low performance can be solved by using optimized solutions, such as genetic algorithms that are powerful in enhancing the quality of selected features. Soft computing solution has a fuzzy logic that makes short-text problems a promising area of research.Originality/valueUsing a powerful short-text classification method significantly affects many applications in terms of efficiency enhancement. Current solutions still have low performance, implying the need for improvement. This paper discusses related issues and approaches to these problems.

scholarly journals The Development of Athlete Performance Capabilities Index (APCI) Model for Male U12 Player Selection using Multivariate Analysis

2018 ◽  
Vol 7 (4.34) ◽  
pp. 97
Author(s):  
Mohamad Razali Abdullah ◽  
Hafizan Juahir ◽  
N. Mohamad Shukri ◽  
N. A. Fuat ◽  
N. A. Mohd Ros ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Factor Score ◽  
Principal Component ◽  
Factor Loading ◽  
Group Classification ◽  
Performance Group ◽  
Two Factors ◽  
Low Performance ◽  
High Factor Loading ◽  
Athlete Performance

This study develops an Athlete Performance Capabilities Index (APCI) model using multivariate analysis for selecting the best player of under twelve (U12).  Measurement of anthropometrics and physical fitness were evaluated among 178 male players aged 12±0.52 years. Factor score derived by Principal Component Analysis were used to obtain a model for APCI and Discriminant Analysis (DA) were conducted to validate the correctness of group classification by APCI. Result was found two factors with eigenvalues greater than 1 were extracted which accounted for 62.00% of the variations present in the original variables. The two factors were used to obtain the factor score coefficients explained by 35.72% and 26.67% of the variations in athlete performance respectively. Factor 1 revealed high factor loading on fitness compared to Factor 2 as it was significantly related to anthropometrics. A model was obtained using standardized coefficient of factor 1. Three clusters of performance were shaped in view by categorizing APCI ≥ 75%, 25% ≤ APCI < 75% and APCI < 25% as high, moderate and low performance group respectively. Three discriminated variables out of thirteen variables were obtained using Forward and Backward stepwise mode of DA, which were weight, standing broad jump, and 40 meters’ speed. Such variables were established as essential indicator for selecting the best player among male U12.   

scholarly journals Can artificially selected phenotypes influence a component of field fitness? Thermal selection and fly performance under thermal extremes

2006 ◽  
Vol 274 (1611) ◽  
pp. 771-778 ◽  
Author(s):  
Torsten Nygaard Kristensen ◽  
Volker Loeschcke ◽  
Ary A Hoffmann
Keyword(s):  
High Performance ◽  
Quantitative Traits ◽  
Genetic Basis ◽  
Selected Lines ◽  
Resistant Lines ◽  
Correlated Patterns ◽  
Different Temperatures ◽  
Evolutionary Trajectories ◽  
Low Performance ◽  
Selected Traits

Artificially selected lines are widely used to investigate the genetic basis of quantitative traits and make inferences about evolutionary trajectories. Yet, the relevance of selected traits to field fitness is rarely tested. Here, we assess the relevance of thermal stress resistance artificially selected in the laboratory to one component of field fitness by investigating the likelihood of adult Drosophila melanogaster reaching food bait under different temperatures. Lines resistant to heat reached the bait more often than controls under hot and cold conditions, but less often at intermediate temperatures, suggesting a fitness cost of increased heat resistance but not at temperature extremes. Cold-resistant lines were more common at baits than controls under cold as well as hot field conditions, and there was no cost at intermediate temperatures. One of the replicate heat-resistant lines was caught less often than the others under hot conditions. Direct and correlated patterns of responses in laboratory tests did not fully predict the low performance of the heat selected lines at intermediate temperatures, nor the high performance of the cold selected lines under hot conditions. Therefore, lines selected artificially not only behaved partly as expected based on laboratory assays but also evolved patterns only evident in the field releases.

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