scholarly journals Experimental investigations of text graph representation model efficiency for borrowings detection

2020 ◽  
pp. 475-480
Author(s):  
Kuropiatnyk Olena
Keyword(s):  
Linear Relationship ◽  
Graph Representation ◽  
Experimental Investigations ◽  
Text Documents ◽  
Representation Model ◽  
Efficiency Of Algorithms ◽  
Functional Efficiency ◽  
Text Base ◽  
Model Efficiency ◽  
The Difference

The paper deals with investigation of time and functional efficiency of the developed software system for text borrowings detection. Base of this system is constructive-synthesizing text graph representation model. The experiment revealed a linear relationship between the time of the text borrowing check operation and the size of the text base for comparison. The conducted experiments showed that there is a difference in the results of the checking text documents by the developed system and analogue. For its estimation the degree of functional efficiency advantage is calculated by similarly to S-estimation of efficiency of algorithms. The reasons for the difference in results are identified. Attention is drawn to obstacles in analogues use for experimental efficacy investigations.

scholarly journals Effect of load sequence interaction on bond-wire lifetime due to power cycling

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zoubir Khatir ◽  
Son-Ha Tran ◽  
Ali Ibrahim ◽  
Richard Lallemand ◽  
Nicolas Degrenne
Keyword(s):  
High Stress ◽  
Bipolar Transistors ◽  
Junction Temperature ◽  
Experimental Investigations ◽  
Power Cycling ◽  
Power Modules ◽  
Bond Wire ◽  
Load Sequence ◽  
The Difference ◽  
Heating Duration

AbstractExperimental investigations on the effects of load sequence on degradations of bond-wire contacts of Insulated Gate Bipolar Transistors power modules are reported in this paper. Both the junction temperature swing ($$\Delta T_{j}$$ Δ T j ) and the heating duration ($$t_{ON}$$ t ON ) are investigated. First, power cycling tests with single conditions (in $$\Delta T_{j}$$ Δ T j and $$t_{ON}$$ t ON ), are performed in order to serve as test references. Then, combined power cycling tests with two-level stress conditions have been done sequentially. These tests are carried-out in the two sequences: low stress/high stress (LH) and high stress/low stress (HL) for both $$\Delta T_{j}$$ Δ T j and $$t_{ON}$$ t ON . The tests conducted show that a sequencing in $$\Delta T_{j}$$ Δ T j regardless of the direction “high-low” or “low–high” leads to an acceleration of degradations and so, to shorter lifetimes. This is more pronounced when the difference between the stress levels is large. With regard to the heating duration ($$t_{ON}$$ t ON ), the effect seems insignificant. However, it is necessary to confirm the effect of this last parameter by additional tests.

DENSITY DISCONTINUITIES AT THE CRITICAL TEMPERATURE

1933 ◽  
Vol 9 (6) ◽  
pp. 613-629 ◽  
Author(s):  
C. A. Winkler ◽  
O. Maass
Keyword(s):  
Critical Temperature ◽  
Small Region ◽  
Density Difference ◽  
Experimental Investigations ◽  
Sharp Change ◽  
Two Component System ◽  
Medium Increase ◽  
The Difference ◽  
Temperature Equilibrium ◽  
Continuous Relation

A technique for measuring densities in various parts of a one- or two-component system, raised above its critical temperature, is described. Considerable improvements over a method for this purpose recently described by one of the writers consist in greater flexibility of manipulation and in making possible a variation in the volume of space confining the medium during the experiment. Propylene and methyl-ether were the two media examined. From the results the following generalizations regarding aberrations from the continuity of state were found to hold for both.When either liquid was heated above the temperature at which the visible meniscus disappeared, the density below this point of disappearance was found to be greater than that above. The density was uniform throughout each portion, undergoing a relatively sharp change in the small region where the meniscus was last seen. After one hour of temperature equilibrium, the difference in density between top and bottom became constant and remained unaltered for six hours. Constant stirring or temperature fluctuations of the order of 0.02 °C. do not alter this density difference. A decrease in the volume available for the medium increases the density difference between the top and bottom, a continuous relation existing between available space and density difference. With decrease in available space, the densities of both upper and lower portions of the medium increase, the density of the lower more rapidly than that of the upper. These results were reproducible quantitatively in the experiments carried out to date. The density difference for a fixed available space decreases with rise in temperature and is measurable up to at least 10 °C. above the critical temperature. A number of miscellaneous experiments are described which form the basis of work now being carried out. The theoretical significance of aberrations from the continuity of state is discussed to the extent warranted by the present stage of the experimental investigations, and tentative conclusions are drawn.

Effects of Gravity on Rewetting of Capillary Groove Surface at Elevated Temperatures—Experimental and Theoretical Studies

1995 ◽  
Vol 117 (4) ◽  
pp. 1042-1047 ◽  
Author(s):  
S. H. Chan ◽  
J. D. Blake ◽  
T. R. Shen ◽  
Y. G. Zhao
Keyword(s):  
Elevated Temperatures ◽  
Liquid Films ◽  
Thin Liquid Films ◽  
Experimental Investigations ◽  
Plate Temperature ◽  
Groove Surface ◽  
Grooved Surface ◽  
The Difference ◽  
Experimental And Theoretical Studies ◽  
Good Agreement

Theoretical and experimental investigations of the rewetting characteristics of thin liquid films over heated and unheated capillary grooved plates were performed. To investigate the effect of gravity on rewetting, the grooved surface was placed in upward and downward-facing positions. Profound gravitational effects were observed as the rewetting velocity was found to be higher in the upward than in the downward-facing orientation. The difference was even greater with higher initial plate temperatures. With either orientation, it was found that the rewetting velocity increased with the initial plate temperature. But when the temperature was raised above a rewetting temperature, the rewetting velocity decreased with the initial plate temperature. Hydrodynamically controlled and heat conduction controlled rewetting models were then presented to explain and to predict the rewetting characteristics in these two distinct regions. The predicted rewetting velocities were found to be in good agreement with experimental data with elevated plate temperatures.

Clustering Documents using the 3-Gram Graph Representation Model

2014 ◽  
Author(s):  
John Violos ◽  
Konstantinos Tserpes ◽  
Athanasios Papaoikonomou ◽  
Magdalini Kardara ◽  
Theodora Varvarigou
Keyword(s):  
Graph Representation ◽  
Representation Model

scholarly journals The use of intragastric nutrition to study saliva secretion and the relationship between rumen osmotic pressure and water transport

1995 ◽  
Vol 73 (2) ◽  
pp. 155-161 ◽  
Author(s):  
G. Y. Zhao ◽  
M. Durić ◽  
N. A. Macleod ◽  
E. R. ØRskov ◽  
F. D. Deb. Hovell ◽  
...  
Keyword(s):  
Linear Relationship ◽  
Osmotic Pressure ◽  
Water Transport ◽  
Rumen Fluid ◽  
Salivary Secretion ◽  
Saliva Secretion ◽  
Key Factor ◽  
The Difference ◽  
Water Outflow ◽  
The Relationship

Four sheep sustained by intragastric nutrition were used to study saliva secretion and the relationship between osmotic pressure in the rumen and net water transport across the rumen wall. Different concentrations of buffer were infused into the rumen to change the rumen osmotic pressure. Salivary secretion was estimated from entrance of P into the rumen. Net water transport across the rumen wall was calculated as the difference between water inflow and water outflow from the rumen. A negative linear relationship between the rumen osmotic pressure (X, mOsm/kg) and the water absorption across the rumen wall (Y, ml/h) was found: Y = (394 SE 8·3)–(l·22 SE 0·03) X, r20·83, (P < 0·001), and a positive linear relationship was found between the rumen osmotic pressure (X, mOsm /kg) and the outflow rate of rumen fluid (Y, ml/h): Y = (34·0 SE 8·0) + (0·97 SE 0·03), X, r2 0·56, (P < 0·001). The implication is that rumen osmotic pressure can be a key factor in the control of the net water transport across the rumen wall, the outflow of rumen fluid to omasum and the rumen liquid dilution rate. A method is suggested by which salivary secretion in sheep may be calculated from the water balance in the rumen.

scholarly journals Self-Organizing Map vs Initial Centroid Selection Optimization to Enhance K-Means with Genetic Algorithm to Cluster Transcribed Broadcast News Documents

2019 ◽  
Vol 17 (3) ◽  
pp. 316-324
Author(s):  
Ahmed Maghawry ◽  
Yasser Omar ◽  
Amr Badr
Keyword(s):  
Genetic Algorithm ◽  
Self Organizing Map ◽  
Optimal Solutions ◽  
Algorithm Optimization ◽  
Chi Square ◽  
Text Documents ◽  
Data Set ◽  
Average Accuracy ◽  
The Difference ◽  
Self Organizing

A compilation of artificial intelligence techniques are employed in this research to enhance the process of clustering transcribed text documents obtained from audio sources. Many clustering techniques suffer from drawbacks that may cause the algorithm to tend to sub optimal solutions, handling these drawbacks is essential to get better clustering results and avoid sub optimal solutions. The main target of our research is to enhance automatic topic clustering of transcribed speech documents, and examine the difference between implementing the K-means algorithm using our Initial Centroid Selection Optimization (ICSO) [16] with genetic algorithm optimization with Chi-square similarity measure to cluster a data set then use a self-organizing map to enhance the clustering process of the same data set, both techniques will be compared in terms of accuracy. The evaluation showed that using K-means with ICSO and genetic algorithm achieved the highest average accuracy.

scholarly journals Classification of Biomedical Literature in Hypertension and Diabetes

2020 ◽  
Vol 1 (2) ◽  
pp. 114-119
Author(s):  
Nur Aniq Syafiq Rodzuan ◽  
Shahreen Kasim ◽  
Mohanavali Sithambranathan ◽  
Muhammad Zaki Hassan
Keyword(s):  
Text Mining ◽  
New Technology ◽  
Biomedical Literature ◽  
Text Documents ◽  
Textual Databases ◽  
The Difference ◽  
Classification Evaluation ◽  
Linguistic Approaches ◽  
Clear Information

Textual information gives us more clear information as it is presented using words and characters, which is easy for humans to understand. To extract this kind of information, text mining was introduced as new technology. Text mining is the process of extracting non-trivial patterns or knowledge from text documents or from textual databases. The purpose of this research paper is to perform and compare keyword extraction using statistical and linguistic extraction tools for 120 text documents related to hypertension and diabetes disease. In order to draw this comparison, RStudio, a statistical-based tool and TerMine, a linguistic-based tool have been used to demonstrate the process of extracting the specified keyword from the biomedical literature. Thus, classification evaluation using Naïve Bayes classifier is carried out in order to evaluate and compare the performance of the statistical and linguistic approaches using these tools. Experimental results show the result of the comparison and the difference between both tools in executing extraction keywords.

scholarly journals A unified schedule policy of distributed machine learning framework for CPU-GPU cluster

2021 ◽  
Vol 39 (3) ◽  
pp. 529-538
Author(s):  
Ziyu Zhu ◽  
Xiaochun Tang ◽  
Quan Zhao
Keyword(s):  
Machine Learning ◽  
Task Scheduling ◽  
Gpu Computing ◽  
Computing Power ◽  
Hybrid Cluster ◽  
Efficiency Of Algorithms ◽  
Machine Learning Applications ◽  
Gpu Clusters ◽  
The Difference ◽  
Distributed Machine Learning

With the widespread using of GPU hardware facilities, more and more distributed machine learning applications have begun to use CPU-GPU hybrid cluster resources to improve the efficiency of algorithms. However, the existing distributed machine learning scheduling framework either only considers task scheduling on CPU resources or only considers task scheduling on GPU resources. Even considering the difference between CPU and GPU resources, it is difficult to improve the resource usage of the entire system. In other words, the key challenge in using CPU-GPU clusters for distributed machine learning jobs is how to efficiently schedule tasks in the job. In the full paper, we propose a CPU-GPU hybrid cluster schedule framework in detail. First, according to the different characteristics of the computing power of the CPU and the computing power of the GPU, the data is divided into data fragments of different sizes to adapt to CPU and GPU computing resources. Second, the paper introduces the task scheduling method under the CPU-GPU hybrid. Finally, the proposed method is verified at the end of the paper. After our verification for K-Means, using the CPU-GPU hybrid computing framework can increase the performance of K-Means by about 1.5 times. As the number of GPUs increases, the performance of K-Means can be significantly improved.

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