Pub Date : 2014-11-01DOI: 10.1109/ICTKE.2014.7001531
Thanat Nonthaputha, M. Kumngern
This paper presents a new current-mode universal filter with multiple-input multiple-output employing only one fully differential current conveyor, two grounded capacitors and two grounded resistors. The proposed filter can simultaneously realize of low-pass, band-pass, high-pass, band-stop and all-pass current responses into one single topology and absent passive component-matching conditions. The natural frequency and the quality factor of all filters can be controlled orthogonally by setting the value of passive components. The circuit also offers low active and passive sensitivities. The workability of the proposed circuit is confirmed by PSPICE simulation results.
{"title":"Current-mode universal filter using FDCCII","authors":"Thanat Nonthaputha, M. Kumngern","doi":"10.1109/ICTKE.2014.7001531","DOIUrl":"https://doi.org/10.1109/ICTKE.2014.7001531","url":null,"abstract":"This paper presents a new current-mode universal filter with multiple-input multiple-output employing only one fully differential current conveyor, two grounded capacitors and two grounded resistors. The proposed filter can simultaneously realize of low-pass, band-pass, high-pass, band-stop and all-pass current responses into one single topology and absent passive component-matching conditions. The natural frequency and the quality factor of all filters can be controlled orthogonally by setting the value of passive components. The circuit also offers low active and passive sensitivities. The workability of the proposed circuit is confirmed by PSPICE simulation results.","PeriodicalId":120743,"journal":{"name":"2014 Twelfth International Conference on ICT and Knowledge Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131970512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/ICTKE.2014.7001542
Narong Chaiwut
PBL (Problem Based Learning) has been used for teaching in number of courses for a long time. The objective of this learning method is to encourage the students to study from reality problem. The problem that often occurred during the PBL process was a failure of the project. In this paper, we tried to use an agile method that is a successful technique by using in a software development process in order to enhance the achievement. We used an agile method to increase the high level of complement by setting a play role of students. The result revealed that the students who used Agile method were completed the satisfied project in 95% rather than those students who rejected to use the proposed technique.
PBL (Problem Based Learning，基于问题的学习)在许多课程的教学中已经被应用了很长时间。这种学习方法的目的是鼓励学生从实际问题中学习。在PBL过程中经常出现的问题是项目的失败。本文试图将敏捷方法这一成功的技术运用到软件开发过程中，以提高软件开发成果。我们采用敏捷的方法，通过设置学生的角色来增加高水平的补足。结果显示，使用敏捷方法的学生完成了满意的项目的比例为95%，而拒绝使用建议技术的学生完成了满意的项目。
{"title":"Improve the accomplishment of project in PBL learning by using an agile method","authors":"Narong Chaiwut","doi":"10.1109/ICTKE.2014.7001542","DOIUrl":"https://doi.org/10.1109/ICTKE.2014.7001542","url":null,"abstract":"PBL (Problem Based Learning) has been used for teaching in number of courses for a long time. The objective of this learning method is to encourage the students to study from reality problem. The problem that often occurred during the PBL process was a failure of the project. In this paper, we tried to use an agile method that is a successful technique by using in a software development process in order to enhance the achievement. We used an agile method to increase the high level of complement by setting a play role of students. The result revealed that the students who used Agile method were completed the satisfied project in 95% rather than those students who rejected to use the proposed technique.","PeriodicalId":120743,"journal":{"name":"2014 Twelfth International Conference on ICT and Knowledge Engineering","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125553231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/ICTKE.2014.7001536
Sutep Sowsanit, S. Pattanavichai
The objective of this study is to evaluate efficiency of routing protocols between Dijkistra's and Kruskal's algorithm. The application of routing protocols is presented. It is used to compute complicated routing paths and the efficiency of routing algorithms. Extensive simulations are being carried out with two different algorithms. The network loads in the performance plots are characterized by two important parameters (a number of vertices) - 9 nodes and 10 nodes. The simulation results showed that the performance of Dijkistra's algorithm is better than Kruskal's algorithm when the network loads are increased from 9 nodes to 10 nodes. In this simulation, Dijkstra's algorithm provides the shortest path among the nodes.
{"title":"Analysis and simulations of routing protocols with two different algorithms","authors":"Sutep Sowsanit, S. Pattanavichai","doi":"10.1109/ICTKE.2014.7001536","DOIUrl":"https://doi.org/10.1109/ICTKE.2014.7001536","url":null,"abstract":"The objective of this study is to evaluate efficiency of routing protocols between Dijkistra's and Kruskal's algorithm. The application of routing protocols is presented. It is used to compute complicated routing paths and the efficiency of routing algorithms. Extensive simulations are being carried out with two different algorithms. The network loads in the performance plots are characterized by two important parameters (a number of vertices) - 9 nodes and 10 nodes. The simulation results showed that the performance of Dijkistra's algorithm is better than Kruskal's algorithm when the network loads are increased from 9 nodes to 10 nodes. In this simulation, Dijkstra's algorithm provides the shortest path among the nodes.","PeriodicalId":120743,"journal":{"name":"2014 Twelfth International Conference on ICT and Knowledge Engineering","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114417646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/ICTKE.2014.7001534
Arinchai Kitipong, Worasak Rueangsirasak, R. Chaisricharoen, R. Banchuin
Batik brings considerable amount of revenue to textile industry in South-East Asia. Lack of supporting information which is price estimation suggested by the information system, leads the business to loose in competition on AEC market. There are a number of factors that affect Batik industry. These complex factors have to be analyzed and derived as a simple suggestion for entrepreneurs. In this paper, two-stage clustering is proposed as the decision support system to increase productivity by suggesting reasonable materials for upcoming product. The system is trained with the sets of data that composed with thirty nine factors to let the system learn to select the most suitable materials as solution of reasonable investment for entrepreneur according to their given price as input. The result shows that this proposed technique perform well with 84.99% of accuracy on k=8.
{"title":"Batik price estimation system for textile production","authors":"Arinchai Kitipong, Worasak Rueangsirasak, R. Chaisricharoen, R. Banchuin","doi":"10.1109/ICTKE.2014.7001534","DOIUrl":"https://doi.org/10.1109/ICTKE.2014.7001534","url":null,"abstract":"Batik brings considerable amount of revenue to textile industry in South-East Asia. Lack of supporting information which is price estimation suggested by the information system, leads the business to loose in competition on AEC market. There are a number of factors that affect Batik industry. These complex factors have to be analyzed and derived as a simple suggestion for entrepreneurs. In this paper, two-stage clustering is proposed as the decision support system to increase productivity by suggesting reasonable materials for upcoming product. The system is trained with the sets of data that composed with thirty nine factors to let the system learn to select the most suitable materials as solution of reasonable investment for entrepreneur according to their given price as input. The result shows that this proposed technique perform well with 84.99% of accuracy on k=8.","PeriodicalId":120743,"journal":{"name":"2014 Twelfth International Conference on ICT and Knowledge Engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127026804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/ICTKE.2014.7001532
J. Lahti, P. Helo, A. Shamsuzzoha
Advanced information management is needed in highly competed electricity markets. Energy field combines data, information and knowledge achieved from several ICT (Information and Communication Technology)-based systems. The roles and properties of the ICT-systems needed in the electricity supply chain are often overlapping each other making positing of certain system challenging and confusing for electricity companies or governmental authorities. Selecting or using most suitable and efficient system features as an optimal way in the environment where crucial business decisions need both real-time data and analyzed long term information. This research study analyzes the positions of the key ICT-systems from a typical electricity producer and electricity market party perspective. The roles of commonly used ICT-systems in this specific area shall be classified based on their operative, knowledge, management and strategic position. The study also evaluates real-time, historical and forecasting features of the said ICT-systems.
{"title":"Roles of ICT-systems for electricity providers: Decision support","authors":"J. Lahti, P. Helo, A. Shamsuzzoha","doi":"10.1109/ICTKE.2014.7001532","DOIUrl":"https://doi.org/10.1109/ICTKE.2014.7001532","url":null,"abstract":"Advanced information management is needed in highly competed electricity markets. Energy field combines data, information and knowledge achieved from several ICT (Information and Communication Technology)-based systems. The roles and properties of the ICT-systems needed in the electricity supply chain are often overlapping each other making positing of certain system challenging and confusing for electricity companies or governmental authorities. Selecting or using most suitable and efficient system features as an optimal way in the environment where crucial business decisions need both real-time data and analyzed long term information. This research study analyzes the positions of the key ICT-systems from a typical electricity producer and electricity market party perspective. The roles of commonly used ICT-systems in this specific area shall be classified based on their operative, knowledge, management and strategic position. The study also evaluates real-time, historical and forecasting features of the said ICT-systems.","PeriodicalId":120743,"journal":{"name":"2014 Twelfth International Conference on ICT and Knowledge Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127442514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/ICTKE.2014.7001539
W. Romsaiyud
Model-View-Controller (MVC) pattern is very useful and popular design pattern that separates the modeling of the domain, the presentation, and the actions based on user input into three separate classes. The model acts as the domain that software is built around, the view as the visual representation of a model. It is usually the resulting markup that the framework renders to the browser and the controller responsible for processing input, acting upon the model, and deciding on what action should be performed, such as rendering a view or redirecting to another page for supporting a business models. Hadoop MapReduce paradigm applied for collected the several datasets for generating the large volume of data in batch processing. In this paper enhanced the Hadoop MapReduce for processing large scale and different data set across platform with MVC pattern. In general, the system consists of five mainly methods: 1.) Collected data sources from different platforms such as the registrar system, web mail, web blogs, news and the English Wikipedia that are included in the data file system at local system, 2.) Generate the data into a map slot from input format, 3.) calculate the jobs from the business logic, 4.) Create a data model based on data entity framework, and 5.) Display an user interface for supporting the business interfaces.
{"title":"Applying MVC data model on hadoop for delivering the business intelligence","authors":"W. Romsaiyud","doi":"10.1109/ICTKE.2014.7001539","DOIUrl":"https://doi.org/10.1109/ICTKE.2014.7001539","url":null,"abstract":"Model-View-Controller (MVC) pattern is very useful and popular design pattern that separates the modeling of the domain, the presentation, and the actions based on user input into three separate classes. The model acts as the domain that software is built around, the view as the visual representation of a model. It is usually the resulting markup that the framework renders to the browser and the controller responsible for processing input, acting upon the model, and deciding on what action should be performed, such as rendering a view or redirecting to another page for supporting a business models. Hadoop MapReduce paradigm applied for collected the several datasets for generating the large volume of data in batch processing. In this paper enhanced the Hadoop MapReduce for processing large scale and different data set across platform with MVC pattern. In general, the system consists of five mainly methods: 1.) Collected data sources from different platforms such as the registrar system, web mail, web blogs, news and the English Wikipedia that are included in the data file system at local system, 2.) Generate the data into a map slot from input format, 3.) calculate the jobs from the business logic, 4.) Create a data model based on data entity framework, and 5.) Display an user interface for supporting the business interfaces.","PeriodicalId":120743,"journal":{"name":"2014 Twelfth International Conference on ICT and Knowledge Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129959118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/ICTKE.2014.7001535
Nattawut Wichit
This paper describes a novel system for detecting human activity based on multi-sensor approach. This approach aim to provide accuracy and robustness to the activity recognition system. The performances of the systems that fuse multiple data coming from different sources are deemed to benefit from the heterogeneity and the diversity of the information involved. In this work a novel Multi-Sensor Data Fusion (MSDF) architecture is presented. This applies an information fusion algorithm based Fuzzy Logic with a set of rules in order to recognize Human Behavior. So as to obtain Feature-level Fusion from Extraction of physical data.
{"title":"Multisensor data fusion model for activity detection","authors":"Nattawut Wichit","doi":"10.1109/ICTKE.2014.7001535","DOIUrl":"https://doi.org/10.1109/ICTKE.2014.7001535","url":null,"abstract":"This paper describes a novel system for detecting human activity based on multi-sensor approach. This approach aim to provide accuracy and robustness to the activity recognition system. The performances of the systems that fuse multiple data coming from different sources are deemed to benefit from the heterogeneity and the diversity of the information involved. In this work a novel Multi-Sensor Data Fusion (MSDF) architecture is presented. This applies an information fusion algorithm based Fuzzy Logic with a set of rules in order to recognize Human Behavior. So as to obtain Feature-level Fusion from Extraction of physical data.","PeriodicalId":120743,"journal":{"name":"2014 Twelfth International Conference on ICT and Knowledge Engineering","volume":"151 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131109198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-11-01DOI: 10.1109/ICTKE.2014.7001530
Natchayathorn Wattikornsirikul, M. Kumngern
This paper presents three-input one-output voltage-mode electronically tunable universal filter using only simple CMOS operational transconductance amplifiers. The proposed filter provides low-pass, band-pass, high-pass, band-stop and allpass filters into one single topology. For realize all the filtering function, no component-matching conditions are required. The natural frequency and the quality factor can be controlled orthogonally and electronically by adjusting the bias currents. The proposed filter is simulated using PSPICE simulators to confirm the presented theory.
{"title":"Three-input one-output voltage-mode universal filter using simple OTAs","authors":"Natchayathorn Wattikornsirikul, M. Kumngern","doi":"10.1109/ICTKE.2014.7001530","DOIUrl":"https://doi.org/10.1109/ICTKE.2014.7001530","url":null,"abstract":"This paper presents three-input one-output voltage-mode electronically tunable universal filter using only simple CMOS operational transconductance amplifiers. The proposed filter provides low-pass, band-pass, high-pass, band-stop and allpass filters into one single topology. For realize all the filtering function, no component-matching conditions are required. The natural frequency and the quality factor can be controlled orthogonally and electronically by adjusting the bias currents. The proposed filter is simulated using PSPICE simulators to confirm the presented theory.","PeriodicalId":120743,"journal":{"name":"2014 Twelfth International Conference on ICT and Knowledge Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121599133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：