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Open access
Open access

Edīte Kaufmane and Laila Ikase

Open access

George Tambouratzis and Marina Vassiliou

Abstract

The present article describes a novel phrasing model which can be used for segmenting sentences of unconstrained text into syntactically-defined phrases. This model is based on the notion of attraction and repulsion forces between adjacent words. Each of these forces is weighed appropriately by system parameters, the values of which are optimised via particle swarm optimisation. This approach is designed to be language-independent and is tested here for different languages.

The phrasing model’s performance is assessed per se, by calculating the segmentation accuracy against a golden segmentation. Operational testing also involves integrating the model to a phrase-based Machine Translation (MT) system and measuring the translation quality when the phrasing model is used to segment input text into phrases. Experiments show that the performance of this approach is comparable to other leading segmentation methods and that it exceeds that of baseline systems.

Open access

Yang Cao, R. Samidurai and R. Sriraman

Abstract

This paper studies the global asymptotic stability and dissipativity problem for a class of neutral type stochastic Markovian Jump Static Neural Networks (NTSMJSNNs) with time-varying delays. By constructing an appropriate Lyapunov-Krasovskii Functional (LKF) with some augmented delay-dependent terms and by using integral inequalities to bound the derivative of the integral terms, some new sufficient conditions have been obtained, which ensure that the global asymptotic stability in the mean square. The results obtained in this paper are expressed in terms of Strict Linear Matrix Inequalities (LMIs), whose feasible solutions can be verified by effective MATLAB LMI control toolbox. Finally, examples and simulations are given to show the validity and advantages of the proposed results.

Open access

Amnah Nasim, Laura Burattini, Muhammad Faisal Fateh and Aneela Zameer

Abstract

Cases where the derivative of a boundary value problem does not exist or is constantly changing, traditional derivative can easily get stuck in the local optima or does not factually represent a constantly changing solution. Hence the need for evolutionary algorithms becomes evident. However, evolutionary algorithms are compute-intensive since they scan the entire solution space for an optimal solution. Larger populations and smaller step sizes allow for improved quality solution but results in an increase in the complexity of the optimization process. In this research a population-distributed implementation for differential evolution algorithm is presented for solving systems of 2nd-order, 2-point boundary value problems (BVPs). In this technique, the system is formulated as an optimization problem by the direct minimization of the overall individual residual error subject to the given constraint boundary conditions and is then solved using differential evolution in the sense that each of the derivatives is replaced by an appropriate difference quotient approximation. Four benchmark BVPs are solved using the proposed parallel framework for differential evolution to observe the speedup in the execution time. Meanwhile, the statistical analysis is provided to discover the effect of parametric changes such as an increase in population individuals and nodes representing features on the quality and behavior of the solutions found by differential evolution. The numerical results demonstrate that the algorithm is quite accurate and efficient for solving 2nd-order, 2-point BVPs.

Open access

Walter Hartmann

Abstract

Sharka (PPV) is one of the most dangerous viruses in fruit growing. More and more fruit growers are unsatisfied with the resistances or tolerance of plum varieties cultivated today. With the utilisation of the hypersensitive reaction to PPV in breeding we developed ‘Jojo’ as the first absolutely resistant cultivar in the field. Most interesting now is the development of new sharka-resistant cultivars, especially in three points: extension of ripening range, better fruit size, and high fruit quality. In a new breeding programme, we obtained many hypersensitive clones. After testing in different regions, some interesting resistant clones and cultivars were selected and are presented here.

Open access

Md Wasiur Rahman, Fatema Tuz Zohra and Marina L. Gavrilova

Abstract

Computational intelligence firmly made its way into the areas of consumer applications, banking, education, social networks, and security. Among all the applications, biometric systems play a significant role in ensuring an uncompromised and secure access to resources and facilities. This article presents a first multimodal biometric system that combines KINECT gait modality with KINECT face modality utilizing the rank level and the score level fusion. For the KINECT gait modality, a new approach is proposed based on the skeletal information processing. The gait cycle is calculated using three consecutive local minima computed for the distance between left and right ankles. The feature distance vectors are calculated for each person’s gait cycle, which allows extracting the biometric features such as the mean and the variance of the feature distance vector. For Kinect face recognition, a novel method based on HOG features has been developed. Then, K-nearest neighbors feature matching algorithm is applied as feature classification for both gait and face biometrics. Two fusion algorithms are implemented. The combination of Borda count and logistic regression approaches are used in the rank level fusion. The weighted sum method is used for score level fusion. The recognition accuracy obtained for multi-modal biometric recognition system tested on KINECT Gait and KINECT Eurocom Face datasets is 93.33% for Borda count rank level fusion, 96.67% for logistic regression rank-level fusion and 96.6% for score level fusion.

Open access

Uposoma Dey and Samiran Bisai

Abstract

Tribal population of India constitutes 8.6% of the total population. They are more susceptible to undernutrition which is recognized as a prevalent health problem mainly because of their uncertainty of food supply, which has serious long term consequences for the child and adversely influences the development of the nation. The assessment of nutritional status is paramount importance because it impels to identify malnutrition which is an aggravation of morbidity and mortality. This review was aimed to find out the overall nutritional status of tribal preschool children. It also seek the major socio-cultural causes which influence the nutritional status from bio-cultural perspectives among the tribal children in India in order to make foundation of new research. In the present review, 41 papers on nutritional status of tribal preschool children published from January 1st 2000 till date, have been identified and included for analysis. To analyze the data, meta-analysis was done using MedCalc software.

The meta-analysis revealed the average rate of prevalence of underweight, stunting and wasting among the preschool tribal children of India was 42.96%; 44.82% and 23.69%. Among the 41 different studies these rates vary among the different tribal groups of different states associated with their socio-economic status (10%), their cultures of food consumption (10%), maternal education (15%), child feeding practices (20%), dietary deficit during pregnancy (25%) and poor nutrition of the child (52%).

Prevalence rate of under-nutrition and stunting is relatively high in comparison to WHO in India whereas, rate of wasting was lower in comparison to national level which reflect that immediate nutritional status was poor but chronic deficiency of nutrition was less. Nutritional education and short term appropriately planned nutritional intervention programs may also be useful for enhancing their nutritional status.

Open access

Teghan Lucas, Amrita Dhugga and Maciej Henneberg

Abstract

Palmistry or Chiromancy is the art of reading lines on the palm of the hands. Today, many researchers believe that the lines on the palms of the hands can predict the individual’s future. Computer programs are being designed which can automatically read the lines on the palm of the hand. One popular theory is that the length of the line of life will indicate lifespan. This theory was investigated in 1974 by Wilson and Mather who found no significant correlation between life expectancy and the length of the line of life. In 1990 Newrick and colleagues found a significant correlation as measured on 100 cadavers. These conflicting investigations are the only existing studies which have explored the relationship between palmistry and longevity. Since then no other study has validated nor disproven these claims.

A total of 60 cadavers donated to The University of Adelaide were used in this study. Total hand length and the line of life length were measured on all cadavers. The age at and cause of death were also recorded. Linear regressions were used to establish any correlations between longevity and the length of the line of life. No significant correlations were found. There was also no significant difference between males and females or the right or left hands.

As no significant correlations were found between longevity and the line of life all efforts at producing more reliable and automatic ways to read the lines are futile. This study puts to rest any debate surrounding the use of the line of life in palmistry as introduced by Newrick and colleagues.

Open access

Jan Wolf, Ivo Ondrášek and Tomáš Nečas

Abstract

The main objective of this work was to verify the possibility of shortening the time needed to produce nursery trees of plums, in view of the economic profitability in nursery production. To achieve this goal, rootstocks Citation®, Ishtara®, Penta®, Torinel®, Pumiselekt and St. Julien (from Wädenswil) were chip budded in the springtime with ‘Shiro’, ‘Angeleno’®, ‘Black Amber’, SLE2014/1, ‘Fertility’ (Asian type plums) and ‘Stanley’ (European type plum) as a control. At the end of the vegetation period, height (from the grafting position), trunk diameter above the place of budding and the number of shoots was recorded for each tree. The Penta® rootstock was evaluated as the most efficient, while ‘Shiro’ variety was evaluated as the most suitable variety. The best variety/rootstock combination was the combination of ‘Shiro’ on Ishtara® rootstock, where 100% of the budded trees reached an average height of 33.0 ± 3.6 cm. The highest trees of an average of 68.3 ± 4.6 cm were recorded for the combination of SLE2014/1 on Torinel® root-stock.