Advanced Materials Research Vols. 403-408

Abstract: Generally, information retrieval (IR) performs keyword search based on the user query to find a set of relevant documents. In the domain of agricultural expertise retrieval, the goal is to find a group of experts who has knowledge in agriculture (by using publications as the evidence) specified by the input query. Typical publication IR systems could sometimes return the search result sets, which consist of a huge amount of publications. Some of the returned publications are not relevant to the individual user’s information need. In this paper, an ontology based agricultural expertise retrieval framework called AGRIX is proposed with the focus on the ontology creation to cover three following aspects: (1) expert profiles and publications, (2) type of plants and (3) problem solving. To build the ontology model, we used a set of publications (1,249 records) which was collected from the Thai national AGRIS center, Bureau of Library Kasetsart University. In addition, a set of inference rules is created to support the expertise retrieval task. By using AGRIX to implement an agricultural expertise retrieval, users can search for experts in two perspectives, plant (e.g., rice, sugar canes) and problem solving (e.g., plant diseases, fertilizers).

Abstract: In this paper, we study the correlation between incoming link of users on Twitter, a micro-blogging website online social. Finding the influential user can apply to recommend users to follow their interest’s businesses domain. To analyze and find characteristic of the influential users for applying to improve the performance of recommender system. We use user’s Twitter posts from any solution into predefined business types. In this paper, we propose solution to applied user selection by comparing among three parameters: (1) the number of relevant posts (NumRP) (2) the number of incoming link from business follower (NumUFI) (3) the number of incoming link from every follower (NumTI). Each parameter is ranked and incremental organized into three groups of each parameter: (1) Top-100 (2) Top-200 and (3) Top-300. After that, we applied posts of selected users to build classification model. Comparison between among three user selection parameters and three user groups. From the experimental results, the performance of NumRP yielded the F-measure higher than NumUFI and NumTI respectively. In addition, users who organized into Top-100 user group of each user selection method are influential users.

Abstract: According to the laws of education in Thailand, the Office for National Education Standards and Quality Assessment is responsible for assessing the external educational institutes in order to develop the quality and educational standards. The external quality assessment reports are represented in both structured and unstructured data. In this paper, we focus on the analysis of unstructured data, i.e., to automatically classify strength and weakness points. We propose and evaluate two different classification models: Flat Classification and Hierarchical Classification. Three algorithms, Naive Bayes, Support Vector Machines (SVM) and Decision Tree, were used in the experiments. The results showed that classification viathe Hierarchical Classification model by using the SVM yielded the best performance. The classification of strength and weakness points yielded the F-measure equal to 0.843 and 0.893, respectively. The proposed approach can be applied as a decision support function for quality assessment in vocational education.

Abstract: Concrete structures have been facing several types of damage mechanisms during their lifetime. Mostly, the types are commonly defects in concretes structures are crack formations. Therefore, evaluation methods such as acoustic emission (AE) are required for assessing the deterioration on concrete structures. This paper gives a brief on the evaluations of the acoustic emission signal strength to the health monitoring of reinforced concrete structure beam. Small scale size beam have been used for this investigation and the AE signal processing are the main principal data in this work for assessing by using the statistical quantitative technique, which is known as intensity analysis (IA).This type of technique is able to quantify and evaluate the damage severity on concrete structures. Eventually, by using the AE signal strength data, the results indicates are greater instruments in determining the damage mechanism level on concretes structure.

Abstract: Based on a wavelet multi-scaling function for the shape functions of meshless method - Galerkin method (W-EFG), study the key parameters Pull-in of a multi-scale structure of the capacitive switch. Based on the wavelet multi-scale approximation which is applied in error estimation and adaptive algorithm for the solution process, the singularity of the solution space can be detected easily in the model. The higher order approximation subspace of wavelet ,the more accurate approximation of the true solution.

Abstract: Measurement of low magnetic field has played an important role in many electronics applications such as military, non-destructive test, medical diagnosis and treatment. The presence of magnetic field, particularly the strength and direction, can be measured using magnetometer. Fluxgate magnetometer is one of the prominent type among many types of magnetometer due to its simple operating principle, robustness and durability. The main components of fluxgate magnetometer consisting of Driving Coils, Sensing Coils and Magnetic Core. In recent years, fluxgates are increasingly made into micro-scale through MEMS silicon processing technology. Physical characteristics of fluxgate coils such as width of the coil; distance between successive coil; and gap between top and bottom coils have an effect towards device miniaturization and performance. Therefore, physical characteristic analysis of coils is significant. This paper highlights analysis on physical characteristics of solenoid-based coil structure for a micro-scaled fluxgate magnetometer by means of finite element method (FEM) simulations. The results of this analysis can be used to design proper coils that could improve the performance of the device.

Abstract: In this paper the variation in soliton pulse with different order number (N) has been investigated and analyzed by Nonlinear Schrodinger Equation (NLSE). The Split-Step Method has used for numerical calculation. The change in pulse shape, the slight decrease in power level and dispersion has been observed with increase in the soliton pulse order number. Thus, the soliton pulse parameters can be optimized to acquire the desired output. By using a half-soliton period length of low-loss single-mode fiber, we have been able to demonstrate the pulse compression and pulse splitting associated with several higher-order soliton as well as to observe the fundamental soliton.

Abstract: Aiming at the inadequacies of the existing liquid injection mechanism, a novel pulsed micro-injection technology based on an amplification piezoelectric actuator (APA) was presented. The mechanics of the micro-injection was investigated. The theoretical model among the parameters of flow velocity, orifice’s dimension, amplitude and rising time of the pulsed signal was established. A micro-injection experimental system was established. The injection pressure out of the orifice was measured. Results show this novel micro-injection technology is feasible, and future development of the novel injection systems is possible.

Abstract: In this paper, the modeling investigations of ZnO planar waveguides with varying refractive indices are quoted. The nature of field mode propagations highlights the nonlinear nature of ZnO. The field distributions of the doped structure are also considered and compared. We have focused on the 600-1200 nm wavelengths of the input beam, where nonlinear effects for ZnO are observed to be at their prime. It is observed that the mode distributions in the doped structure define solitary pulse propagation in itself.

Abstract: In this paper, two efficient control algorithms are discussed viz., Linear Quadratic Regulator (LQR) and Dynamic Matrix Controller (DMC) and their applicability has been demonstrated through case study with a complex interacting process viz., a laboratory based four tank liquid storage system. The process has Two Input Two Output (TITO) structure and is available for experimental study. A mathematical model of the process has been developed using first principles. Model parameters have been estimated through the experimentation results. The performance of the controllers (LQR and DMC) has been compared to that of industrially more accepted PID controller.