Time filter

Source Type

Nguyen Q.U.,University of Information Technology | Duong T.H.,Quangbinh University | Kang S.,Inha University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

While knowledge exchange among users is rapidly increased in social networking environment, collaborative knowledge in social networking is being become more and more essential for knowledge management systems. In this work, a method for solving conflict on collaborative knowledge via social networking using consensus choice is presented. A knowledge base can be considered as a pair KB = (O, I) where O is an ontology and I is a set of instances of concepts belonging to the ontology O. The main issue presented here is how to organize a collaboration process and to resolve conflicts in collaborative knowledge creation via social networking.In this work, ontology is considered as sharing mechanism for social collaboration. The structure of a collaborative group is distinguished by three types including centralized-, decentralized-, and distributed group. For each group type, we propose a corresponding algorithm for conflict resolution using consensus choice. © 2012 Springer-Verlag.


Duong T.H.,Quangbinh University | Truong H.B.,University of Information Technology | Nguyen N.T.,Wroclaw University of Technology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

The main aim of this research is to deal with enriching conceptual semantic by expanding local conceptual neighbor. The approach consists of two phases: neighbor enrichment phase and matching phase. The enrichment phase is based on analysis of the extension semantic the ontologies have. The extension we make use of in this work is generated an contextually expanded neighbor of each concept from external knowledge sources such as WordNet, ODP, and Wikimedia. Outputs of the enrichment phase are two sets of contextually expanded neighbors belonging to these two corresponding ontologies, respectively. The matching phase calculates similarities between these contextually expended neighbors, which yields decisions which concepts are to be matched. © 2012 Springer-Verlag.


Dau H.M.,Wuhan University of Technology | Dau H.M.,Quangbinh University | Xu N.,Wuhan University of Technology
Advanced Materials Research | Year: 2014

Text document classification is content analysis task of the text document and then giving decision (or giving a prediction) whether this text document belongs to which group among given text document ones. There are many classification techniques such as decision method basing on Naive Bayer, decision tree, k- Nearest neighbor (KNN), neural network, Support Vector Machine (SVM) method. Among those techniques, SVM is considered the popular and powerful one, especially, it is suitable to huge and multidimensional data classification. Text document classification with characteristics of very huge dimensional numbers and selecting features before classifying impact the classification results. Support Vector Machine is a very effective method in this field. This article studies Support Vector Machine and applies it in the problem of text document classification. The study shows that Support Vector Machine method with choosing features by singular value decomposition (SVD) method is better than other methods and decision tree. © (2014) Trans Tech Publications, Switzerland.


Dau H.M.,Wuhan University of Technology | Dau H.M.,Quangbinh University | Xu N.,Wuhan University of Technology | Truong T.K.,Industrial University of Ho Chi Minh City
Advanced Materials Research | Year: 2014

Supervised machine learning techniques can analyze sentiment very effectively. However, in many languages, there are few appropriate data for training sentiment classifiers. Thus, they need a large corpus of training data. In this paper, weakly-supervised techniques using a large collection of unlabeled text to determine sentiment is presented. The performance of this method maybe less depends on the domain, topic and time period represented by the testing data. In addition, semi-supervised classification using a sentiment-sensitive thesaurus is mentioned. It can be applicable when it does not have any labeled data for a target domain but have some labeled data for other multiple domains designated as the source domains. This method can learn efficiently from multiple source domains. The results show that the weakly-supervised techniques are suitable for applications requiring sentiment classification across some domains and semi-supervised techniques can learn efficiently from multiple source domains. © (2014) Trans Tech Publications, Switzerland.


Tran L.,South China University of Technology | Tran L.,The Key Laboratory of Pollution Control and Ecosystem Restoration in Industry Clusters | Tran L.,QuangBinh University | Wu P.,South China University of Technology | And 8 more authors.
Journal of Colloid and Interface Science | Year: 2015

Vermiculites modified with Mercaptoethylamine (MEA) and 3-Mercaptopropyltrimethoxysilane (MPTMS) were used as effective adsorbents for the removal of Hg(II) from aqueous solution. The physicochemical characteristics of the pristine and functionalized vermiculites were analyzed by XRD, BET, FTIR, SEM, TEM and Zeta potentials, confirming that the vermiculite was successfully functionalized by the organic ligands containing the thiol (SH) metal-chelating groups. Batch adsorption experiments demonstrated that the factors such as initial pH, contact time, temperature, coexisting cations and initial Hg(II) concentration could significantly influence the adsorption behaviors typically for VER and MEA-VER, whereas the adsorption capacity of MPTMS-VER showed negligible dependence on such factors. The maximum adsorption capacity of Hg(II) ions was greatly improved after functionalization, which was in the order of MPTMS-VER>MEA-VER>VER (286.29μgg-1, 176.33μgg-1, 99.95μgg-1, respectively). The adsorption isotherm could be well described with Langmuir model and the kinetic studies indicated that the adsorption process fitted well with the pseudo-second-order model. The calculated thermodynamic parameters suggested that the adsorption process was feasible and spontaneous. The adsorption mechanism of Hg(II) on thiol groups was studied through XPS analysis. Considering the favorable adsorption capacities, thiol-functionalized vermiculites show a promising application in the removal of Hg(II) from wastewater. © 2015 Elsevier Inc.


Tran L.,South China University of Technology | Tran L.,QuangBinh University | Wu P.-X.,South China University of Technology | Yang L.,South China University of Technology | Zhu Y.-J.,South China University of Technology
Zhongguo Huanjing Kexue/China Environmental Science | Year: 2015

In this study, raw vermiculite has been modified by 2-aminoethanethiol (MEA) to obtain organo-vermiculite as adsorbent for the removal of silver ions in aqueous solution. The physicochemical properties of the raw and modified vermiculites were analyzed by Fourier transform infrared (FTIR) spectroscopy, thermogravimetry-differential scanning calorimetry (TG-DSC) and BET analysis, which indicated that MEA was successfully grafted onto the vermiculite. Additionally, batch adsorption experiments involving initial pH, adsorbent dosage, time and temperature demonstrated that the adsorption capacity of Ag onto MEA-VER was improved highly compared with that of raw vermiculite. The optimum adsorbent dosage was 2.0 g/L, the adsorbents presented a high removal efficiency of Ag+ in a wide range of initial pH values (6-12). The kinetics studies showed that the adsorption process was described well with pseudo-second-order model and the equilibrium was achieved at about 200 min of contact time. The adsorption isotherm of Ag+ onto vermiculites fitted the Langmuir model well. All these results indicated that the adsorption process onto vermiculites was taken place mainly by coordination and electrostatic adsorption. ©, 2015, Zhongguo Huanjing Kexue/China Environmental Science. All right reserved.


Hien D.V.,Quangbinh University | Doolgindachbaporn S.,Khon Kaen University
Pakistan Journal of Biological Sciences | Year: 2011

This study aims to justify effects of niacin and folic acid in feed rations on growth and survival rate of the fish under in vitro conditions. A Completely Randomized Design (CRD) with four replications for Experiment I and three replications for Experiment II was used. Niacin (0, 5, 10, 20 and 40 mg kg-1) and folic acid (0, 2, 4, 6 and 8 mg kg-1) were used for Experiments I, and II, respectively. The cement tanks were used for Experiment I and fibre tanks for Experiment II. A static water system was used. Water temperature was maintained at a range from 26 to 30°C with pH values from 7.4 to 7.9. The results showed that niacin at a rate of 10 mg kg-1 feed ration gave significant differences on weight gained %, survival %, protein efficiency ratio, specific growth rate % and feed conversion ratio withmean values of 99.92,100,1.18, 5.77 and 1.35, respectively. Folic acid at a rate of 2 mg kg-1 gave significant differences on weight gained %, survival %, protein efficiency ratio, specific growth rate % and feed conversion ratio with mean values of 108.88, 100, 1.22, 6.13 and 1.43, respectively. Niacin at a rate of 10 and 2 mg kg-1 of folic acid were the best rates for in vitro culture of Green catfish. © Asian Network for Scientific Information.


Pham X.H.,QuangBinh University | Nguyen T.T.,Yeungnam University | Jung J.J.,Chung - Ang University | Hwang D.,Yeungnam University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2014

The paper focuses on using geotagged resources from the social network service (SNS) for searching the famous places from keyword. We extend the HITS[9] algorithm in order to rank locations which are collected from geotagged resources on SNS. Our approach not only uses the similarity measurement between locations’tags for computing the value of locations but also calculate the term frequency of tags which occur in each location to modify the value of tags for ranking. We implement and show the experimental results with the set of locations from the geotagged resources. © Springer International Publishing Switzerland 2014.


Pham X.H.,QuangBinh University | Jung J.J.,Chung - Ang University | Nguyen N.T.,Wroclaw University of Technology | Kim P.,Chosun University
Acta Polytechnica Hungarica | Year: 2016

The information on the web is not only published by an original language, but also expressed in many different languages. Almost recommendation systems also lack mechanisms to support users overcoming the language problem. In these systems, it is difficult to search a specific value (e.g., movie artist, movie title in movie domain) by using native language. In this paper, we present our approach to deal with this problem. We develop an ontology-based multilingual recommendation system using integrated data from Linked Open Data to support user with in different languages on movie domain. Multilingual Movie Recommendation System (MMRS) for searching as a case of study is developed. In this system, we illustrate a more comfortable and flexible implementation. © 2016, Budapest Tech Polytechnical Institution. All rights reserved.


PubMed | Quangbinh University
Type: Journal Article | Journal: Pakistan journal of biological sciences : PJBS | Year: 2011

This study aims to justify effects of niacin and folic acid in feed rations on growth and survival rate of the fish under in vitro conditions. A Completely Randomized Design (CRD) with four replications for Experiment I and three replications for Experiment II was used. Niacin (0, 5, 10, 20 and 40 mg kg(-1)) and folic acid (0, 2, 4, 6 and 8 mg kg(-1)) were used for Experiments I, and II, respectively. The cement tanks were used for Experiment I and fibre tanks for Experiment II. A static water system was used. Water temperature was maintained at a range from 26 to 30 degrees C with pH values from 7.4 to 7.9. The results showed that niacin at a rate of 10 mg kg(-1) feed ration gave significant differences on weight gained %, survival %, protein efficiency ratio, specific growth rate % and feed conversion ratio with mean values of 99.92, 100, 1.18, 5.77 and 1.35, respectively. Folic acid at a rate of 2 mg kg(-1) gave significant differences on weight gained %, survival %, protein efficiency ratio, specific growth rate % and feed conversion ratio with mean values of 108.88, 100, 1.22, 6.13 and 1.43, respectively. Niacin at a rate of 10 and 2 mg kg(-1) of folic acid were the best rates for in vitro culture of Green catfish.

Loading QuangBinh University collaborators
Loading QuangBinh University collaborators