PDF superior “Análisis del Modelo de Diseño Curricular Vigente en el Colegio Experimental “León Ruales” del Cantón Mira, Provincia del Carchi y su rediseño con Tendencias Constructivistas durante el año 2010” propuesta educativa”.

A Measure of Similarity Between Trajectories of Vessels

A Measure of Similarity Between Trajectories of Vessels

Trajectory, which is the route of the movement of an object, contains significant spatial information that is necessary in studying the behaviors of vessels. With the development of information techniques, a growing amount of vessel movement information can be monitored, and voluminous records of historical trajectories can be stored [1]. Several new and efficient methods have been proposed to utilize big data in promoting the development of maritime intelligent traffic systems (ITS) [2–4]. Notably, similarity measurement between the trajectories of vessels is a fundamental issue that needs to be solved in these methods [5–7]. The raw trajectories of vessels usually include many redundant points, outliers, and other elements [8–9]. When the volume of trajectory data is large, similarity measurement requires the feature points to be extracted from trajectories [10–13]. Moreover, to study the traffic characteristics of vessels, the similarity measurement result must be consistent with the actual motion of vessels [14–17]. The trajectory spatial distance describes the motion position information, and the trajectory shape shows the changes in the motion direction. Therefore, an efficient model is necessary to consider both factors to solve the aforementioned problem.
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A cross-lingual similarity measure for detecting biomedical term translations.

A cross-lingual similarity measure for detecting biomedical term translations.

Experimental results are shown in Figs 1 and 2 (for 1000 dimensional feature vectors) and Figs 3 and 4 (for 10,000 dimensional feature vectors). As an overall trend in both Figures, we see that all methods are performing equally when the dimensionality of the projected space is very small. However, the correlation coefficients for such low dimensional projections are also very low because most of the important features of the original space are lost as a result of the aggressive lower dimensional projections. When we increase the dimensionality both Pearson and Kendall correlation coefficients improve. However, SVD and NMF methods quickly saturates to almost fixed correlations and by further increasing the dimensionality we cannot improve their performance. On the other hand, the correlation coefficients with PVP continu- ously increase. Because SVD and NMF are computing low rank approximations to the matrix defined by the feature vectors, the correlation does not improve when we have reached the rank of the data matrix. Moreover, minimization of the Frobenius norm of the approximation as done by SVD does not guarantee a high correlation between similarity scores computed using the lower dimensional projections of the feature vectors. In the larger 10,000 dimensional setting depicted in Figs 3 and 4, we see that Kendall’s τ drops for SVD and NMF methods when the dimensionality is increased beyond 300 dimensions. In practice, it is difficult to determine the optimal value of the dimensionality for the projection. Therefore, in practice projection methods that do not loose performance due to extra dimensions are desirable. Per- formance of the L2 baseline varies and is not robust. For example, in the 10,000 dimensional case (Fig 3), L2 method reports the worst Pearson correlation among the four methods compared.
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A new method to construct entropy of interval-valued Neutrosophic Set

A new method to construct entropy of interval-valued Neutrosophic Set

neutrosophic sets, then propose a new method to construct entropy of interval-valued neutrosophic sets based on the similarity measure between the two single valued neutrosophic sets, finally we give an example to show that our method is effective and reasonable.

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WEB SEARCH ENGINE BASED SEMANTIC SIMILARITY MEASURE BETWEEN WORDS USING PATTERN RETRIEVAL ALGORITHM

WEB SEARCH ENGINE BASED SEMANTIC SIMILARITY MEASURE BETWEEN WORDS USING PATTERN RETRIEVAL ALGORITHM

Motivation: The search results returned by the most popular search engines are not satisfactory. Because of the vastly numerous documents and the high growth rate of the Web, it is time consuming to analyze each document separately. It is not uncommon that search engines return a lot of Web page links that have nothing to do with the user’s need. Information retrieval such as search engines has the most important use of semantic similarity is the main problem to retrieve all the documents that are semantically related to the queried term by the user. Web search engines provide an efficient interface to this vast information. Page counts and snippets are two useful information sources provided by most Web search engines. Hence, accurately measuring the semantic similarity between words is a very challenging task.
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SSM-DBSCANand SSM-OPTICS : Incorporating a new similarity measure for Density based Clustering of Web usage data.

SSM-DBSCANand SSM-OPTICS : Incorporating a new similarity measure for Density based Clustering of Web usage data.

More and more researchers focus on Web usage mining for the past recent years [3,4,5]. However, the topic of clustering web sessions has recently become popular in the field of practical application of clustering techniques. In [1] Anil K.J worked out on different algorithms for data and it performance. Few researchers in the past applied OPTICS clustering with noise on the different datasets and analyze on various ways. Ester .M.et.al[6] introduced about the various issues that related to the Dbscan for discovering clusters in large databases with noise. Cao.F, Estery .M, Qian .W [5],worked on Density based clustering over an evolving data stream with noise. “M Ankerst, M. Breunig, H.Kriegel, J.Sander” [11] introduce OPTICS algorithm on density based clustering structure. In [2] the authors described the various ways of scaling the Dbscan algorithm in the application of spatial database. Many researchers carried out their works on web usage clustering using Density based algorithms. The Density-based notion is a common approach for clustering. Density-based clustering algorithms are based on the idea that objects which form a dense regions should be grouped together into one cluster. They use a fixed threshold value to determine dense regions. Mobasher[15] used the Cosine coefficient and a threshold of 0.5 to cluster on a web log. Banerjee and Ghosh[9] introduced a new method for measuring similarity between web sessions. The longest common sub-sequence between two sessions is first found through dynamic programming, then the similarity between two sessions is defined through their relative time spent on the longest common sub-sequences.
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An Approach to Finding Similarity Between Two Community Graphs Using Graph Mining Techniques

An Approach to Finding Similarity Between Two Community Graphs Using Graph Mining Techniques

The proposed method in this paper is different from the above existing methods. In the proposed method two community graphs with possibly equal number of nodes (communities) and different number of edges for similarity check. Each node (community) is labeled with a unique community number. Based on the community number of node, the similarity measure takes place by considering the weight of self-loop of community as well as the weight of edge between the communities. After similarity between two community graphs, it finally returns a similarity value i.e., a number from 0 to 3. Based on this number, the similarity of two community graphs can be judged. The proposed algorithm has capable of showing similarity and five different ways of dissimilarity. The five different dissimilarities are "similar on dissimilar edges", "similar on similar edges", "communities same but different edges", "communities not same", and "number of communities are different". Moreover, the proposed method is completely based on labeled community graphs and simple graph-theoretic model. So the authors conclude that the proposed community graph similarity is simply different from the above existing methods and fast since the time complexity is O(n 3 ).
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A New Similarity measure for taxonomy based on edge counting

A New Similarity measure for taxonomy based on edge counting

We can distinguish three main approaches for the similarity identification measures between the taxonomy objects. The first type is based on the nodes [2] [7] [8]. Works under the banner of these approaches used the typically information based content to determine the conceptual similarity. Moreover, the similarity between two concepts is obtained by the degree of sharing information. The second type is based only on the hierarchy or the edge distances [1] [9] [10] [11]. The problem with this approach is that the taxonomy arcs represent uniform distances, i.e. all the semantic links have the same weight. Finally, the hybrid approach [12] [13] [14] [15] which combines the two approaches presented above. With these approaches, there exist several manners of detecting conceptual similarity of two words in a hierarchical semantic network. The following section presents some measures which are listed under these approaches.
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SSM-DBSCANand SSM-OPTICS : Incorporating a new similarity measure for Density based Clustering of Web usage data.

SSM-DBSCANand SSM-OPTICS : Incorporating a new similarity measure for Density based Clustering of Web usage data.

Abstract: Clustering web sessions is to group web sessions based on similarity and consists of minimizing the intra-group similarity and maximizing the inter-group similarity. Here in this paper we developed a new similarity measure named SSM(Sequence Similarity Measure) and enhanced an existing DBSCAN and OPTICS clustering techniques namely SSM-DBSCAN, and SSM-OPTICS for clustering web sessions for web personalization. Then we adopted various similarity measures like Euclidean distance, Jaccard, Cosine and Fuzzy similarity measures to measure the similarity of web sessions using sequence alignment to determine learning behaviors of web usage data. This new measure has significant results when comparing similarities between web sessions with other previous measures. We performed a variety of experiments in the context of density based clustering, using existing DBSCAN and OPTICS and developed SSM-DBSCAN and SSM-OPTICS based on sequence alignment to measure similarities between web sessions where sessions are chronologically ordered sequences of page visits. Finally the time and the memory required to perform clustering using SSM is less when compared to other similarity measures.
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Implementation of a Functional Semantic Similarity Measure between Gene-Products

Implementation of a Functional Semantic Similarity Measure between Gene-Products

Given the increasing importance of ontologies in biological settings, mechanisms enabling users to measure the similar- ity between the concepts represented by the ontologies or be- tween the objects linked to these concepts are required. In computational linguistics, recent research on this topic has emphasized the use of semantic similarity measures. These measures compute distances between terms structured in a hierarchical taxonomy. Two kinds of approaches are preva- lent: information content (node based) and conceptual dis- tance (edge based). Information content considers the similar- ity between two terms the amount of information they share, where a term contains less information when it occurs very of- ten. Conceptual distance is a more intuitive approach. It iden- tifies the shortest topological distance between two terms in the scheme taxonomy. Budanitsky et al. experimentally com- pared five different proposed semantic similarity measures in WordNet [Budanitsky and Hirst2001]. The comparison shows that Jiang and Conrath’s semantic similarity measure provides the best results overall [Jiang and Conrath1997]. This seman- tic similarity measure is a hybrid approach, i.e. it combines information content and conceptual distance with some pa- rameters that control the degree of each factor’s contribution. The conceptual distance is based on the node depth and den- sity factors. The node depth factor relies on the argument that similarity increases as we descend the hierarchy, since the re-
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A Method To Find The Area Of Sector Without The Usage Of Angle Made By The Chord

A Method To Find The Area Of Sector Without The Usage Of Angle Made By The Chord

Thus if we prove that ΔL/ΔF =(r+a)/(r-a) then the theorem is proved. Now let us consider a circle with centre at origin and radius ‘r’. Thus the equation of circle is x²+y²=r².The equation of the chord at ‘a’ distance from center is ax-ry- ar=0 or Y= a/r(x-r).

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Model of knowledge representation about materials in the form of a relational database for CAPCAST system

Model of knowledge representation about materials in the form of a relational database for CAPCAST system

is the customer who gives the technical specification of the prod- uct and it is the customer who has to decide whether he can or cannot accept the price dictated by the manufacturer. Based on these restrictions, it is now the manufacturer who must decide whether he is able to execute the order (within the deadline ap- pointed and using the available facilities) and what will be the price of the product as dictated by the cost of production. Improv- ing the procedure of production costs estimation should improve the contract negotiations and make them more efficient. On the other hand, estimating the cost of production involves, among others, also the need to determine the type of material and treat- ment. The manufacturer can choose what materials he will use for the product and at what price, providing he can check which
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Operating characteristics of turbine mixers based on the analysis of power demand of the mixer’s drive

Operating characteristics of turbine mixers based on the analysis of power demand of the mixer’s drive

Optimisation of the turbine mixer’s performance during the preparations of the sand mix still remains an important issue as this mixer type is now in widespread use. Monitoring techniques of the system sand mixing include the analysis of electric power demand by the mixer’s drive based on measurements of power components. This study shows the operating characteristics of turbine mixers as the function of electric power demand by the drive system.

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The modification process of AlSi21CuNi silumin and its effect on change of mechanical properties of the alloy

The modification process of AlSi21CuNi silumin and its effect on change of mechanical properties of the alloy

Essence of modification of silumins boils to change of form or size of silicon crystals present as eutectic or primary ones. Perfect sliding properties and high abrasion resistance of hypereutectoid silumins result from their structure, which can be characterized by precipitations of primary crystals of silicon in soft eutectic groundmass. Primary crystals of silicon are unfavorable due to their impact on machinability of material. They bring about considerable wear of tools and have negative effect on conditions of machined surface (big roughness). In case of hypereutectic silumins, by introduction of active nucleuses of crystallization are refined mainly a brittle, hard precipitations of primary silicon [1]. High content o silicon results in necessity of superheating of the alloy in limits of 850 – 900 C and keeping it
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Finding Important Nodes in Social Networks Based on Modified Pagerank

Finding Important Nodes in Social Networks Based on Modified Pagerank

The quality of the links, as measured by Pagerank, is a good choice for ranking nodes but we think there are some other features that can incorporate the activity of the node. We propose to incorporate the features via the link similarity taking into account contact times of the node. The idea behind is that the node has higher similarity must be prized with a higher value. Our main idea consists in constructing the link vector that records the contact times of the nodes, defining a link similarity function to measure the similarity of the nodes according to the link vector, and then reconstructing Pagerank model by considering the link similarity. These ideas are a work in progress.
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Effect of Multipoint Sequential Water Mist Cooling of Casting Die on Microstructure and Mechanical Properties of AlSi11 Alloy

Effect of Multipoint Sequential Water Mist Cooling of Casting Die on Microstructure and Mechanical Properties of AlSi11 Alloy

The control program starts the cooling process in the 1. zone as soon as possible after filling the mold with the liquid metal, and at the latest at the beginning of crystallization of silumin, i.e. 330 C. Then, after the silumin crystallization is finished, the program begins with the cooling of the other zones, which will no longer supply the zone 1 with the liquid metal,, but instead accelerate the process of cooling of the entire cast. The program ends cooling of the chill after reaching the temperature of 60 C for casting. The program also contains a condition of water pulsation after temperature reduction by mold below 150 C and then 100 C. This condition reduces the amount of water in a mist along with the decreasing ability of the evaporation on the cooled wall of the pre-chill and thereby reduces the possibility of water gathering at the casting station.. Moreover, research shows that reducing the amount of water at this stage did not affect the cooling rate and the total time of casting. The cooling process ends when they reach the permanent molds temperature below 60 ° C.
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Effect of heat treatment parameters on the properties of low-alloy cast steel with microadditions of vanadium

Effect of heat treatment parameters on the properties of low-alloy cast steel with microadditions of vanadium

large precipitates in the size range of 100-200nm, present as single objects or as clusters, characterised by different shapes (oval and oblong), sizes and chemical compositions, fine-dispersed precipitates of carbides in the size range of

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Sapa And Base Communication Of Sambas Society A Case Of Malay-Madurese Post-Conflict 1999-2014

Sapa And Base Communication Of Sambas Society A Case Of Malay-Madurese Post-Conflict 1999-2014

Abstract: This article discusses the impact of inter-ethnic conflict in 1999 to the multi-ethnic community life in Sambas and offers a concept of education as a modified formulation of the local wisdom in the communication aspect that the Malay ethnic community in Sambas have in responding relations between ethnic groups post-conflict of ethnics in 1999. The methodology used is literature review, observation, interview and documentation-based qualitative analysis. The result is that ethnic conflict 1999 in Sambas, West Kalimantan causes a number of problems or moral and social impacts in some small communities of Malay. By gaining the value of local wisdom into a new form of education, an effort to respond the post-conflict negative impact through cultural communication greeting of sapa and base that shows a polite language education in Malay Sambas society and even the culture is believed to be an alternative solution that can deal with inter-ethnic conflicts and prevent conflict to happen again
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The analysis of solidification process of ferritic-austenitic cast steel

The analysis of solidification process of ferritic-austenitic cast steel

It should be stressed that, according to the relationships given in Table 1, the solidification character of both of examined duplex cast steel compositions should be pure ferritic. The degree of segregation of the alloying elements resulting from the partition coefficients and empirically determined by EDX method [14], has confirmed the change of the solidification mechanism from pure ferritic to the ferritic-austenitic one only if the relationship (2) is employed. An addition of copper results in occurring the structural constituent of different morphology, which is Ȗ’ phase.
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Modification of water glass with colloidal slurries of metal oxides

Modification of water glass with colloidal slurries of metal oxides

application, among others, in the modification of moulding sands. These nanoparticles introduced into the systems of a multi- particle matrix (binder) can change their properties by way of a physico-chemical or chemical reaction [6, 7].

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Roughness of surface of vacuum castings prepared in plaster moulds

Roughness of surface of vacuum castings prepared in plaster moulds

Experimental castings were prepared in moulds made of two types of plaster. Cast temperatures were 1120 and 1200°C for bronzes and 700 and 800°C for silumin. Temperatures of the mould were 500 and 600°C for bronzes and 200 and 300°C for aluminum alloy. The roughness measurements were carried out with use of Hommelwerke Tester T1000. The average arithmetic deviation of roughness profile Ra, the ten-point height of irregularities Rz and maximum peak to valley height Rm, were measured.

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