Showing papers in "kuwait journal of science in 2014"

On pointwise statistical convergence of order α of sequences of fuzzy mappings

Abstract: In this paper, we introduce the concept of pointwise statistical convergence of order α of sequences of fuzzy mappings. Furthermore we give the concept of α-statistically Cauchy sequence for sequences of fuzzy mappings and prove that it is equivalent to pointwise statistical convergence of order α of sequences of fuzzy mappings. Also some relations between Sβ(F)-statistical convergence and strong wpα F)-summability are given.

Exact solutions for the wick-type stochastic time-fractional KdV equations

Abstract: Our aim in this paper is to explore white noise functional solutions for the variable coefficients Wick-type stochastic time-fractional KdV equations. Using the modified fractional sub-equation method, we can find out new exact solutions for the time-fractional KdV equations. Subsequently, the Hermite transform and the inverse Hermite transform are employed to find white noise functional solutions for the variable coefficients Wick-type stochastic time-fractional KdV equations.

Strongly almost summable sequences of order a

Abstract: In this paper, we introduce the concept statistical convergence of order . Also some relations between -statistical convergence of order and strong -summability of order are given. Furthermore some relations between the spaces and are examined.

Solving the open vehicle routing problem by a hybrid ant colony optimization

Abstract: The open vehicle routing problem (OVRP) is a variant of vehicle routing problem (VRP) in which the vehicles are not required to return to the depot after completing a service Since this problem belongs to NP-hard Problems, many metaheuristic approaches like ant colony optimization (ACO) have been used to solve it in recent years The ACO has some shortcomings like its slow computing speed and local-convergence Therefore, in this paper a hybrid ant colony optimization called HACO is proposed in which a new state transition rule, an efficient candidate list, several effective local search techniques and a new pheromone updating rule are used in order to achieve better solutions Experimentation shows that the algorithm is successful in finding solutions within almost 3% of known optimal solutions on classical thirty one benchmark instances Additionally, it shows that the proposed algorithm HACO finds twenty one best solutions of classical instances and is competitive with eight existing algorithms for solving OVRP Furthermore, the size of the candidate lists used within the algorithm is a major factor in finding improved solutions and the computational times for the algorithm compare satisfactorily with other solution methods

Impact of learning rate and momentum factor in the performance of back-propagation neural network to identify internal dynamics of chaotic motion

Abstract: The utilization of back-propagation neural network in identification of internal dynamics of chaotic motion is found appropriate. However, during its training through Rumelhart algorithm, it is found that, a high learning rate ( ) leads to rapid learning but the weights may oscillate, while a lower value of ` ' leads to slower learning process in weight updating formula Momentum factor ( ) is to accelerate the convergence of error during the training in the equation and while transfer function sigmoid . It is the most complicated and experimental task to identify optimum value of ` ' and ` ' during the training. To identify optimum value of ` ' and ` ' , firstly the network is trained with 103 epochs under different values of ` ' in the close interval and At the convergence of initial weights and minimization of error (i.e., mean square error) process is found appropriate. Afterwards to find optimum value of , the network was trained again with = 0.3 (fixed) and with different values of in the close interval for 103 epochs. It was observed that the convergence of initial weights and minimization of error was appropriate with = 0.3 and = 0.9. On this optimum value of and the network was trained successfully from local minima of error = 1.67029292416874E-03 at 103 epochs to global minima of error = 4.99180426869658E-04 at 15 105 epochs. At the global minima, the network has exhibited excellent performance in identification of internal dynamics of chaotic motion and in prediction of future values by past recorded data series. These essentials are presented through this research paper.

Influence of plant growth promoting rhizobacteria on fruit yield, pomological characteristics and chemical contents in cucumber mosaic virus-infected tomato plants

Abstract: The influence of two plant growth promoting rhizobacteria (PGPR) strains, Pseudomonas aeruginosa and Stenotrophomonas rhizophilia, on fruit yields, pomological traits and chemical contents on cucumber mosaic virus (CMV) infected-tomato (Solanum lycopersicum) fruits were studied. Two CMV strains were used to infect tomato plants. CMV-KU1 is a locally isolated CMV associated with a benign viral satellite RNA, while CMV-16 is a satellite-free virus that causes severe stunting, manifested by vegetative and fruit yield loss in tomato. The study was conducted in parallel on two different cultivar varieties of tomato, namely Supermarmande and UC82B and results obtained for each were compared. The results indicated that the presence of the PGPR almost doubled the average yield per plant, even of those plants infected by the CMV viruses, compared to the healthy control treatments. There was also a significant improvement in the pomological qualities of the PGPR-treated tomato fruits compared to the corresponding healthy and virus infected treatments, especially, in the average of weight, hight and volume of fruits. The chemical analysis of tomato fruits revealed that the presence of the PGPRs increased the total protein, lycopene, alkalinity and phenol content of the tomato fruits compared to the healthy controls. However, PGPRs had no influence on reduced sugars, total soluble solids or the titerable acid content, but reduced the amount of ascorbic acid in tomato fruits of infected plants compared to healthy controls.

Statistical modeling of extremes under linear and power normalizations with applications to air pollution

Abstract: In this paper the Block Maxima (BM) and the Peak Over Threshold (POT) methods are used to model the air pollution in two cities in Egypt. A simulation technique is suggested to choose a suitable threshold value. The validity of full bootstrapping technique for improving the estimation parameters in extreme value models has been checked by Kolmogorov-Smirnov (K-S) test. A new efficiency approach for modeling extreme values is suggested. This approach can convert any ordered data to enlarged block data by using sub-sample bootstrap. By using power normaliziation, for the first time in litrarure, the BM and sub-sample bootstrap methods are applied to model the air pollution. Although, this study is applied on three pollutants in two cities in Egypt, the suggested approaches may be applied on other pollutants in other regions in any country.

Improvement of user authentication protocol with anonymity for wireless communications

Abstract: To design a mobile user authentication protocol with anonymity for the global mobile network is a challenge, since wireless network is more vulnerable to attacks and mobile terminals’ computational power is limited. In 2012, Li & Lee proposed a user authentication and privacy preserving scheme with smart card for wireless communications. In this paper, we improve the adversary model of this type of authentication scheme, and then demonstrate that Li & Lee’s scheme is vulnerable to off-line password guessing attack. To remedy this security weakness, an improved scheme is proposed, which is more efficient than Li & Lee’s scheme.

On the developable ruled surfaces Kinematically generated in Minkowski 3-Space

Abstract: In this paper, we present a method to be developable of a ruled surface, generated in Minkowski 3-space R corresponding to the dual Lorentzian curves according to E. Study's transference principle and some theorems and examples.

Intertidal seagrass Halodule uninervis : Factors controlling its density, biomass and shoot length

Abstract: The seagrass Halodule uninervis is distributed in separate patches along the coast of Kuwait but its distribution in the meadows in Kuwait bay appear to be declining Physical, chemical and biotic factors were investigated in three contrasting locations to determine how these affect the biomass, shoot density and length of this seagrass There are significantly longer leaves, higher biomass and shoot density in H uninervis beds in south compared to that of Doha in Kuwait bay At the same time, there are significantly longer leaves in lower intertidal zone compared to upper intertidal zone The characteristics of tidal pools formed during low tide seem to determine the extent of exposure these seagrass endure during low tide Most of the meadows in the intertidal zone were in tidal pools of loamy sand to sandy sediments Tidal pools at the southern sites have a constant influx of seawater that significantly reduce the temperature and salinity of these tidal pools during summer Shoot density and biomass at all three sites increased during the year, reaching maximum during July, after which these plants shed their leaves by an escape mechanism that is evident especially in Doha seagrass population Doha meadows exist in isolated tidal pools and experience temperatures above 45oC Turbidity at Doha is also significantly higher, hence reducing the availability of light to these seagrass But at all sites, the concentration of heavy metals in the sediment and plant tissues were below toxic levels The diversity and density of epiphytes on the leaves were also high from late spring to mid-summer, the period of rapid growth of the species

On Atanassov's intuitionistic fuzzy grade of the direct product of two hypergroupoids

Abstract: In this paper we continue the study of the sequences of join spaces and Atanassov's intuitionistic fuzzy sets associated with the direct product of two hypergroupoids with special properties and we determine the Atanassov's intuitionistic fuzzy grade of such a sequence.

Fuzzy soft -hemirings

Abstract: Maji et a l. (2001) introduced the concept of a fuzzy soft set, which is an extension to the concept of a soft set. The concepts of -fuzzy soft left -ideals (right -ideals, -interior-ideals) in -hemirings are introduced. Some new characterization theorems of these kinds of fuzzy soft -ideals of a -hemiring are also given. Finally, we show that -hemiregular and -semisimple -hemirings can be described by -fuzzy soft -ideals and -fuzzy soft -interior-ideals.

Determination of genetic variation of Rhanterium epapposum in Kuwait desert using RAPD and SRAP DNA-based markers

Abstract: Rhanterium epapposum (R. epapposum) Olive is a perennial shrub found in the northern part of Kuwait with unique climate and land conditions such as drought and salt tolerance. Due to several reasons, this species is on the verge of extinction. R. epapposum is one of the desert forage plants upon which camel and sheep graze. Bedouins also use R. epapposum as a source of fuel. Thus, it is necessary to evaluate the genetic diversity within and among population of germplasm to determine and understand the extent of genetic variation that exists in the species. This evaluation was performed in an effort to reduce or stop the genetic erosion. Twenty-four Random Amplified Polymorphic DNA (RAPD) and 23 Sequence Related Amplified Polymorphisms (SRAPs) markers were used to amplify DNA fragments from 18 different samples collected from five major locations in Kuwait. Results indicated that there were 64 alleles produced by RAPD, while 129 alleles were produced by SRAP. With slightly different samples in each cluster, the cultivars were grouped into four distinct clusters by coefficients of similarity that were generated with RAPD, SRAP, and the combined data of both. With the absence of any pedigree information, this study indicated that these DNA-based markers could be used to obtain efficient, accurate, and high throughput fingerprinting, revealing significant variation among the existing locations that can be explored in order to preserve the species.

Time heuristics ranking approach for recommended queries using search engine query logs

Abstract: It is obvious that web search queries given by the user are always short and ambiguous. Mostly the shorter length queries do not satisfy the users real information need and may not produce the results properly. Query Recommendation is a technique based on the real intent of the user and to provide the alternate queries to frame the queries in the future. The proposed work recommends the queries for four types of users in three ways (1) Favourite queries of the user are identified and they are recommended. (2) Users who have similar interest are clustered; the recommendation is given from the access logs of similar users. (3) Similar queries are clustered; the favourite query of the cluster is identified and it is recommended. The proposed work also ranks the recommended queries based on the preference and access time of the query. The proposed strategies are experimentally evaluated using real time search engine query log.

On a local search algorithm for the capacitated max-k-cut problem

Abstract: The local search algorithm for the capacitated max-k -cut problem proposed by Gaur et al. (2008) is not guaranteed to terminate. In this note, we modify the iterative step of their algorithm to make it terminate in a finite number of steps. The modified algorithm is pseudo-polynomial, and in a special case it is strongly polynomial. Moreover, we analyze the worst case bound of the modified algorithm and give some extensions.

19th century lignite mining (Germany): Hazards from non-ideal waste sequestration

Abstract: Since the 19th Century, lignite mining and processing has left an indelible mark on the environment in East Germany, particularly around the cities of Halle and Leipzig. The European Commission in the 1990s, regarded the waste dumps and underground abandoned shafts as a major hazard and commissioned a multi-dimensional scientific team, under the title Eureka Project 674 (Advanced Mobile Analytical Laboratory or AMAL), to oversee a preliminary Environmental Impact Assessment (EIA) of the worst affected areas. Advanced mobile laboratories were built to access sites, recover complex matrices and make overall assessments of the scale of the problem, as leakage from century-old waste pits were causing hazardous environmental and health issues in the local areas.The mobile laboratories were equipped with an inductively-coupled mass spectrometer (ICP-MS), gas-chromatography mass spectrometer (GC-MS), x-ray fluorescence (XRF) instruments and specially designed coring equipment to recover soil-gas and liquids, and other complex samples from subsurface waste pits and water basins. One of the key outcomes of the on-site surveys was the delineation of hot-spots of contamination in mine dumps (Ascheberg) and tar-pools (Schumzelteich),which over time migrated through the natural shale pit-liner into drinking water (water wells). An interpretation of the leakage anomalies suggests that the clay layer was breached over time, due to overloading of the pits and/or structural damage to the pits, which eventually permeated the environmental hinterland and aquifers. The critical choice of pit-liners in any future waste pit containment for similar chemical materials is essential to long-term sequestration of industrial wastes.

Study on polyester fabric using polyvinyl alcohol in alkaline medium to enhance the hydrophilic character

Abstract: Polyester (PET) fabric was treated with polyvinyl alcohol (PVA) in alkaline medium. The moisture regain, water retention and wickability of the PVA treated polyester fabric were tested. The presence of PVA in the treated PET fabric was assessed by spot test. The treated fabric was also characterized by scanning electron microscope (SEM). The PVA treated polyester fabric showed improved hydrophilic character over intact and sodium hydroxide treated PET fabrics.

Preparation and characterization of nitrogen doped ZnO films and homojunction diodes

Abstract: Nitrogen-doped ZnO (ZnO:N) films were prepared by the reactive magnetron sputtering technique using a zinc target The effect of thermal annealing in different ambient on the films composition, chemical bonding states, structure, optical transmittance and photoconductivity was investigated The as-grown films are composed from 9-nm large grains with strained unit cell The annealing process relaxes the strain and increases the grain size to 39 nm Annealing also increases the direct band gap of the film from 242 eV to 326 eV The as-grown and annealed films show photoconductivity in the visible region which is partly due to the effect of a nitrogen-related defect level with the ionization energy of 171 eV The conversion of the as-grown n-type films to p-type ZnO was achieved by annealing the films in air The converted p-ZnO and electrodeposited n-ZnO films were used in the fabrication of light-emitting homojunction diodes Diodes with a reasonably good current-voltage rectification factor exhibited electroluminescence property in the ultraviolet-visible region From the junction capacitance of these diodes the density of holes in p-ZnO films grown on stainless steel substrates was determined as 15x1017 cm-3

Variants of R-weakly commuting mappings and common fixed point theorems in intuitionistic fuzzy metric spaces

Abstract: In this paper, we utilize the notion of common limit range property with variants of -weakly commuting mappings and obtain some common fixed point theorems in intuitionistic fuzzy metric spaces. We give some illustrative examples which support our results. Consequently a host of common fixed theorems are generalized and improved.

Improved cross site scripting filter for input validation against attacks in web services

Abstract: Nowadays, everybody needs to handle sensitive data like online banking account details and other information related to financial transactions on the Internet. In this scenario, many Web attacks such as injection attacks are targeted on these sensitive data. Such attacks are carried out by running scripts on users computers that utilize vulnerably coded client/server pages. Moreover, these attacks run malicious codes to steal personal information from the server. Though this code can easily be generated by the attacker, it is very difficult to prevent it by the current cross site scripting filters due to their lack in detection accuracy. Therefore, cross site scripting attack is a challenging issue for the Internet users. Hence, it is necessary to detect and prevent the injection attacks through efficient schemes. However, most of the existing schemes lack this capability in terms of accuracy and need further improvement. In this paper, a new self-aware message analysis cum validation algorithm has been proposed for detecting and filtering various types of Web Service attacks. This proposed system receives requests and generates suitable response from the dummy server page to analyze the nature of attack. New policies are created in this work to analyze the response and forward the legitimate request to original Web Service page. The proposed injection filters have been tested with all possible attacks for verifying the robustness of filtering policies. The results obtained from this work show that the proposed filtering policy is highly robust in refining the malicious message. The implementation and accuracy of the proposed approach has been proved through extensive testing using real-world cross site scripting generation and analysis. The results obtained from the work show that the proposed filtering policy is very strong in refining the malicious message, which contains attacks such as cross site scripting, injection, message replay and semantic attacks. We demonstrated the implementation and accuracy of our approach through extended testing using real-world cross site scripting exploits.

Multimodal biometric authentication using adaptive decision boundaries

Abstract: Combination methods was one of the main techniques to improve the performance. We aim to find the fusion strategy that yields the best classification rate in experiments on the MOBIO-Banca biometric data set. Scores from classifier outputs are ranked and fused using several fusion strategies. Our proposed method of combined use of adaptive boundaries and quality measure based ranking of scores yields significant improvement over existing fixed boundary methods. Sum fusion yields very large improvement and succeeds, where MProduct does not. We explain the degradation in the serial MOBIO combiner analytically and through synthetic experiments. We show that the performance of weak classifier combiners follow a hyperbolic curve as weaker classifiers are added.

Characterizations of -fuzzy fantastic ideals in BCI-algebras

Abstract: In this paper, the concepts of -fuzzy fantastic ideals and -fuzzy fantastic ideals in BCI-algebras are introduced and investigate some of their properties. The concept of a fuzzy fantastic ideal with thresholds, properties of a fuzzy fantastic ideal, an -fuzzy fantastic ideal and an -fuzzy fantastic ideal are discussed.

Multiple change points tests against the umbrella alternative

Abstract: We consider the problem of testing the null hypothesis of no change against the alternative of multiple umbrella-type change points in a series of independent observations. We extend the tests of Mack Wolfe (1981) to the change point set-up. We consider the two cases of known and unknown umbrella peak point. We obtain the asymptotic null distributions of the proposed tests and give approximations for their limiting critical values. We also give tables for their finite sample Monte Carlo critical values. We report the results of several Monte Carlo power studies conducted to compare the proposed tests with a number of multiple change points tests. As an illustration we applied the proposed tests using a real data set.

Homothetic motions in Euclidean 3-space

Abstract: A one-parameter homothetic motion of a rigid body in three-dimensional Euclidean space is defined by means of the Hamilton operators We investigate some properties of this motion and show that it has only one pole point at every instant Furthermore, the Darboux vector of the motion can be written as multiplication of two quaternions

Bücklund transformation for spacelike curves in the Minkowski space-time

Abstract: The main purpose of this paper is to construct a Bucklund transformation between two spacelike curves with the same constant curvature in Minkowski space-time by considering some assumptions. Moreover, we give the relations between curvatures of these two spacelike Bucklund curves.

NSE characterization of projective special linear group L3(7)

Abstract: Let be a group and be the set of element orders of . Let and be the number of elements of order in . Let nse. In Khatami et al and Liu's works, the groups , and are unique determined by nse. In this paper, we prove that if is a group such that nse=nse, then .

Beltrami-Meusnier formulas of generalized semi ruled surfaces in semi Euclidean space

Abstract: In this paper, we study the sectional curvatures of the generalized semi ruled surfaces in semi Euclidean space The first fundamental form and the metric coefficients of the generalized semi ruled surfaces are calculated and in these regards, Riemannian-Christoffel curvatures are obtained by the help of Christoffel Symbols. So, the curvatures of arbitrary non-degenerate tangential sections of the generalized semi ruled surface are investigated. In addition to this, the relations between the sectional curvatures are obtained. These are called semi Euclidean Beltrami-Meusnier formulas.

A note on the simplicity of C*-algebras of edge-colored graphs

Abstract: We modify the definitions of hereditary and saturated subsets and Condition (L) for edge-colored graphs. We then give three necessary conditions for the simplicity of C*-algebras of edge-colored graphs

Deformation measurement of a human back using Moirإ technique

Abstract: Simulated deformation of a human back is measured using Moirإ technique (MT) The reproducible positions of human body are fixed by using two scales for measurement of the weight and by measuring the distance of the tip of left hand from the left knee Shadow and projection Moirإ are performed on the body for each position The actual measurement of the deformation is performed by using projection Moirإ approach Fringe interpretation of the obtained Moirإ figures is performed by using " Quick Fringe" software (QFS) The programs are modified according to the task of the experiment Contour, 1-Dimensional and 2-Dimensional representations of the surface of the deformations is obtained for four selected positions of the human back MT and fringe interpretation we propose, is associated with an actual clinical technique applied for diagnosis of ankylosing spondylitis, back strain related to primary osteo-arthritis and knyphosis The possibility of using the gratings with changeable transparency is indicated

Omega and related polynomials of polyomino chains of 4 k-cycles

Abstract: Omega polynomial of a graph G is defined, on the ground of "opposite edge strips" ops: where is the number of ops strips of length . The Sadhana polynomial can also be calculated by ops counting. In this paper we compute these polynomials for polyomino chains of 4 -cycles. Also by using Omega polynomial we can compute the (edge) PI polynomial for this graph.