ITRU - 2013

Permanent URI for this collectionhttp://192.248.9.226/handle/123/14725

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item: Conference-Full-text
Content based Hybrid SMS Spam Filtering System
Chaminda, T; Dayaratne, TT; Amarasinghe, HKN; Jayakody, JMRS
World has changed. Everybody is connected. Almost each and everyone have a mobile phone. Millions of SMSs are going around the world over mobile networks in every second. But about 1/3 of them are spam. SMS spam has become a crucial problem with the increase of mobile penetration around the world. SMS spam filtering is a relatively new task which inherits many issues and solutions from email spam filtering. However it poses its own specific challenges. Server based approaches and Mobile application based approaches are accommodate content based and content less mechanism to do the SMS spam filtering. Though there are approaches, still there is a lack of a hybrid solution which can do general filtering at server level while user specific filtering can be done on mobile level. This paper presents a hybrid solution for SMS spam filtering where both feature phone users as well as smart phone users get benefited. Feature phone users can experience the general filter while smart phone users can configure and filter SMSs based on their own preferences rather than sticking in to a general filter. Server level solution consists of a neural network along with a Bayesian filter and device level filter consists of a Bayesian filter. We have evaluated the accuracy of neural network using spam huge dataset along with some randomly used personal SMSs.
item: Conference-Extended-Abstract
Content based hybrid sms spam filtering system
(2014-01-16) Charninda, T; Dayaratne, TT; Amarasinghe, HKN; Jayakody, JMRS
World has changed. Everybody is connected. Almost each and everyone have a mobile phone. Millions of SMSs are going around the world over mobile networks in every second. But about 113 of them are spam. SMS spam has become a crucial problem with the increase of mobile penetration around the world. SMS spam filtering is a relatively new task which inherits many issues and solutions from email spam filtering. However it poses its own specific challenges. Server based approaches and Mobile application based approaches are accommodate content based and content less mechanism to do the SMS spam filtering. Though there are approaches, still there is a lack of a hybrid solution which can do general filtering at server level while user specific filtering can be done on mobile level. This paper presents a hybrid solution for SMS spam filtering where both feature phone users as well as smart phone users get benefited. Feature phone users can experience the general filter while smart phone users can configure and filter SMSs based on their own preferences rather than sticking in to a general filter. Server level solution consists of a neural network along with a Bayesian filter and device level filter consists of a Bayesian filter. We have evaluated the accuracy of neural network using spam huge dataset along with some randomly used personal SMSs.
item: Conference-Full-text
Decision Supportive System for Customers and Merchants with Enhanced Relevance
Bandara, YMJK; Madhumalie, SHP; Madurasinghe, SY; Weerasinghe, MSC; Karunaratne, PM
The rising development of technologies caused consumers to deal with an increasingly large amount of product and service information which is far beyond the individual’s cognitive effort to process. However due to the popularity of ecommerce the number of online retailers proliferated. As a result of this, currently there are large numbers of brand names available online and this results in customer difficulty of finding the best product among alternatives. Since different customers have different perspectives and parameters about products it is better to facilitate customized information. Merchants have problems in improving their businesses due to lack of information about the customer buying pattern variations. Therefore, a system which provides accurate information and suggestions which significantly decrease users’ cognitive effort which would be beneficial for both customers and merchants when selecting and providing products and services. “Decision Supportive System for Customers and Merchants with Enhanced Relevance - EpsiShoppingBot” is a mobile and web based solution which addresses above mentioned requirements of both customers and merchants.
item: Conference-Extended-Abstract
An effective approach for personalized web search based on community-cluster analysis
(2014-01-16) Thanthriwatta, TM; Karunaratne, PM
The concept of Personalized Web Search is commonly used for improving the quality of web search results by identifying and facilitating different users' search needs. There are several techniques such as user profiling, content analysis, hyperlink analysis and biased PageRank algorithm that are used to achieve web personalization. User Profiling is one of the widely used techniques for personalizing web search at large scale. But it contains several technical and ethical issues such as privacy violations, inefficient use of computing resources as well. Collaborative web search is also a kind of a relatively "new concept which defines the way of optimizing/personalizing search results by using details of group of people and contributing the knowledge of all of them about web search. This paper presents the details of an alternative approach for personalizing web results by using user profiling technique with community cluster analysis of collaborative web search by adapting concept of reusability 'among web results.
item: Conference-Full-text
An Empirical Study Of The Impact Of User Training And Attitude Towards ERP Implementation In Selected Companies In Sri Lanka
Kumara, AS; Gunawardana, KD; Halwatura, RU
Implementation of an Enterprise Resource Planning (ERP) is a radical change in an organization. Some of the staff are willing to accept new challenges whereas others are not. Therefore, there is a gap between attitudes of the staff who would involve with the ERP systems and desired objectives of the system. Conducting different types of user training programs can improve communication with employees. It makes them to change their attitudes. This study focused on user attitudes and the effectiveness of training towards the ERP implementation in Sri Lankan Companies. The data collection was done through a series of structured interviews and a questionnaire from the five top recently ERP implemented companies in Sri Lanka. One-way ANOVA result shows the users’ attitudes vary from different age groups and the education level of the employees. Further, findings reveal that attitudes have a positive impact depending on their income level and the number of years that they worked for the company. Based on the analysis it can be conclude that the way of training should change.
item: Conference-Full-text
An Empirical Study of the Impact of User Training and Attitude Towards ERP Implementation in selected Companies in Sri Lanka
Kumara, AS; Gunawardana, KD; Halwatura, RU
Implementation of an Enterprise Resource Planning (ERP) is a radical change in an organization. Some of the staff are willing to accept new challenges whereas others are not. Therefore, there is a gap between attitudes of the staff who would involve with the ERP systems and desired objectives of the system. Conducting different types of user training programs can improve communication with employees. It makes them to change their attitudes. This study focused on user attitudes and the effectiveness of training towards the ERP implementation in Sri Lankan Companies. The data collection was done through a series of structured interviews and a questionnaire from the five top recently ERP implemented companies in Sri Lanka. One-way ANOVA result shows the users’ attitudes vary from different age groups and the education level of the employees. Further, findings reveal that attitudes have a positive impact depending on their income level and the number of years that they worked for the company. Based on the analysis it can be conclude that the way of training should change.
item: Conference-Extended-Abstract
An empirical study of the impact of user training and attitude towards ERP implementation in selected companies in Sri Lanka
(2014-01-16) Kumara, AS; Gunawardana, KD; Halwatura, RU
Implementation of an Enterprise Resource Planning (ERP) is a radical change in an organization. Some of the staff are willing to accept new challenges whereas others are not. Therefore, there is a gap between attitudes of the staff who would involve with the ERP systems and desired objectives of the system. Conducting different types of user training programs can improve communication with employees. It makes them to change their attitudes. This study focused on user attitudes and the effectiveness of training towards the ERP implementation in Sri Lankan Companies. The data collection was done through a series of structured interviews and a questionnaire from the five top recently ERP implemented companies in Sri Lanka. One-way ANOV A result shows the users' attitudes vary from different age groups and the education level of the employees. Further, findings reveal that attitudes have a positive impact depending on their income level and the number of years that they worked for the company. Based on the analysis it can be conclude that the way of training should change.
item:
Integrated Automobile Service Platform
Dissanayaka, DMRCB; Silva, TLS; Rankothge, DGTS; Ratalakotuwa, RDGDJ; Madurasinghe, SY; Kulawansa, KADT; Fernando, SA
Nowadays people have to face many difficulties when they are going to buy or get services for a vehicle and in storing all the information about vehicles in a one place and access whenever they want. Even companies which facilitate vehicle related services not be able to supply their services to their customers effectively and efficiently. Because of this reason people who are planning to buy a vehicle after some period, will not be able to make a better decision regarding the vehicle brands, models and prices that will be available at that time. Furthermore it is very valuable if potential customers get aware of newly released versions of vehicles which they are interested. However there is no better solution to achieve mentioned scenarios yet, so people have to search for details manually. Therefore “Autoslk: Integrated Automobile Service Platform” is a solution to overcome the issues faced by customers and companies in the automobile industry. Our approach is mainly user friendly and effective web based platform to interact with four separate users’ namely individual users, visitors, companies and administration to ensure their needs are satisfied.
item: Conference-Extended-Abstract
Integrated automobile service platform
(2014-01-16) Dissanayaka, DMRCB; Silva, TLS; Rankothge, DGTS; Ratalakotuwa, RDGDJ; Madurasinghe, SY; Kulawansa, KADT; Fernando, SA
Nowadays people have to face many difficulties when they are going to buy or get services for a vehicle and in storing all the information about vehicles in a one place and access whenever they want. Even companies which facilitate vehicle related services not be able to supply their services to their customers effectively and efficiently. Because of this reason people who are planning to buy a vehicle after some pel'iod, will not be able to make a better decision regarding the vehicle brands, models and prices that will be available at that time. Furthermore it is very valuable if potential customers get aware of newly released versions of vehicles which they are interested. However there is no better solution to achieve mentioned scenarios yet, so people have to search for details manually. Therefore "Autoslk: Integrated Automobile Service Platform" is a solution to overcome the issues faced by customers and companies in the automobile industry. Our approach is mainly user friendly and effective web based platform to interact with four separate users' namely individual users, visitors, companies and administration to ensure their needs are satisfied.
item: Conference-Full-text
Lexical Enrichment and Sense Disambiguation of Ontology Concepts
Premarathna, PHSR; Indrajee, KHH; Mahawithana, P; De Silva, LYSG; Wimalasuriya, DC
This paper presents a model to measure semantic similarity between custom ontology concepts and the taxonomy of WordNet and introduces a new ontology concept similarity measure. The similarity measure is based on a measure of weighted overlap of semantic cotopy of a concept in two taxonomies. The model can be applied to automatically enhance the vocabulary of terms in ontologies embedding equivalence classes of terms and other linguistic information directly in the ontology. This model is applied to the products and services domain where a Product Ontology is lexically enhanced and the effectiveness of the model is evaluated.
item: Conference-Extended-Abstract
Lexical enrichment and sense disambiguation of ontology concepts
(2014-01-16) Prernarathna, PHSR; Indrajee, KHH; Mahawithana, P; De Silva, LYSG; Wimalasuriya, DC
This paper presents a model to measure semantic similarity between custom ontology concepts and the taxonomy of WordNet and introduces a new ontology concept similarity measure. The similarity measure is based on a measure of weighted overlap of semantic cotopy of a concept in two taxonomies. The model can be applied to automatically enhance the vocabulary of terms in ontologies embeddingequivalence classes of terms and other linguistic information directly in the ontology. This model is applied to the products and services domain where a Product Ontology is lexically enhanced and the effectiveness of the model is evaluated.
item: Conference-Extended-Abstract
Mind reading: a survey and a proof of concept platform for perception analysis
(2014-01-16) Gunawardana, ASL; Pathirana, PS; Gamage, TST; Ponnamperuma, SR; Weerawarana, SM
This research paper discusses evolution of perception capturing and analytic mechanisms and presents a system for crowdsourced perception analysis. Crowdsourcing has become a buzzword in social computing which can be effectively applied for perception analysis. There are situations in recent past like Arab Spring in which crowdsourcing was heavily affected to increase the interest and motivation of the citizens through a huge crowdsourced news scoop. In mega sporting and entertainment events the members of the crowd can actively participate through handheld mobile devices to convey their perception. Crowdsourced perceptual data can be analyzed in many dimensions which creates diversified opportunities across several sectors. This paper discusses conventional survey mechanisms which have evolved towards real time emotion capturing systems with video processing and image processing. Also we present architecture and a prototype application for crowdsourced perception analysis.
item: Conference-Full-text
Mind Reading: A Survey and a Proof of Concept Platform for Perception Analysis
Gunawardana, ASL; Pathirana, PS; Gamage, TST; Ponnamperuma, SR; Weerawarana, SM
This research paper discusses evolution of perception capturing and analytic mechanisms and presents a system for crowdsourced perception analysis. Crowdsourcing has become a buzzword in social computing which can be effectively applied for perception analysis. There are situations in recent past like Arab Spring in which crowdsourcing was heavily affected to increase the interest and motivation of the citizens through a huge crowdsourced news scoop. In mega sporting and entertainment events the members of the crowd can actively participate through handheld mobile devices to convey their perception. Crowdsourced perceptual data can be analyzed in many dimensions which creates diversified opportunities across several sectors. This paper discusses conventional survey mechanisms which have evolved towards real time emotion capturing systems with video processing and image processing. Also we present architecture and a prototype application for crowdsourced perception analysis.
item: Conference-Full-text
Navigation System for Visually Impaired
Silva, WMAU; Kanakarathna, KMDTK; Priyankara, WAAN; Wijerathna, DMHGNN; Chaminda, HT
Object recognition and navigation are highly challengeable for visually impaired even though the environment is familiar for him. There are different approaches for addressing this problem domain using technologies such as Global Positioning System (GPS) technology, Radio Frequency Identification (RFID) sensor technology etc. Although existing systems which use these different technologies for addressing this approach there are still limitations and issues due to usability and cost effectiveness of them to be addressed. The proposed system enables the blind person to directly interact with a mobile application and request the needed object as a voice command. Then it will process through image recognition and optimal path finding modules and identify the correct object and will guide the blind person to navigate to it. The system use Scale Invariant Feature Transformation (SIFT) algorithm for track each and every object in the assumed indoor environment. And then using cell based map identify the object location, user location and provide navigate information to the user for navigating to that object optimally. This solution has been evaluated using several experimental scenarios. Although the results are still not enough to provide strong conclusions, they indicate that the system is suitable for visually impaired people as object recognition and navigation system.
item: Conference-Extended-Abstract
Navigation system for visually impaired
(2014-01-16) Silva, WMAU; Kanakarathna, KMDTK; Priyankara, AAN; Wijerathna, DMHGNN; Charninda, HT
Object recognition and navigation are highly challengeable for visually impaired even though the environment is familiar for him. There are different approaches for addressing this problem domain using technologies such as Global Positioning System (GPS) technology, Radio Frequency Identification (RFID) sensor technology etc. Although existing systems which use these different technologies for addressing this approach there are still limitations and issues due to usability and cost effectiveness of them to be addressed. The proposed system enables the blind person to directly interact with a mobile application and request the needed object as a voice command. Then it will process through image recognition and optimal path finding modules and identify the correct object and will guide the blind person to navigate to it. The system use Scale Invariant Feature Transformation (SIFT) algorithm for track each and every object in the assumed indoor environment. And then using cell based map identify the object location, user location and provide navigate information to the user for navigating to that object optimally. This solution has been evaluated using several experimental scenarios. Although the results are stilI not enough to provide strong conclusions, they indicate that the system is suitable for visually impaired people as object recognition and navigation system.
item: Conference-Abstract
Ontology based integrated methodology for modelling dynamic civilian data
Nanayakkara, MS; Tharaka, KJ; Hettige, KHA; Perera, KHLR; Sandalekha, MWU; Kulawansa, KADT
The technology world today functions in the Knowledge Era where data and information are no longer to be considered “sustaining” goods in social consistency. Ontology technology is used to model the real world confirming to the concept of “Complete Universe of Discourse”. Thus, it is also a powerful technique to represent knowledge regardless of the attributes of data. On the other hand, Civilian information management has already become a critical task in information world along with the increasing rate crime and breaking of law. Thus ensuring higher availability of civilian knowledge for authorized and legitimate bodies is very important to keep proper law and order in communities. This paper, introduces a new methodology to model civilian knowledge and detect patterns over already existing but highly dynamic data using Ontology Technology. In this approach, we show that separation of instances of ontology as civilian profiles to a separate knowledgebase is much efficient.
item: Conference-Extended-Abstract
Perception transformation for visually impaired people
(2014-01-16) Purnima, DMH; Samarasingha, SLLK; Sandaruwan, AMDM; Senanayake, MDRN; Withanage, DK; Sudantha, BH
Blindness is the form of absence of visual sensation due to physiological or neurological factors. With this lack of vision blind people have to face unexpected situations while travel or attend their day to day work. There are many guidance systems with a few superfluous features for visually impaired travelers to navigate quickly and safely against obstacles. Most of such systems support only one area of interest such as identifying objects and supporting navigation. The system proposed in this paper is capable of providing some essential guidance for a blind person to find the way in an in-house environment. The research focuses on exploiting the use of image processing and other sensors to provide a clear understanding of an environment with voice perception. The visual perception is captured by the camera attached to the blind person and provides preprocessed instances of these visual frames as descriptors to an artificial neural network. In addition to object recognition, sensor based hardware module is used to detect obstacles, and to provide information on other unexpected situations.
item: Conference-Full-text
Perception Transformation for Visually Impaired People
Samarasingha, SLLK; Sandaruwan, AMDM; Sandaruwan, AMDM; Senanayake, MDRN; Withanage, DK; Sudantha, BH
Blindness is the form of absence of visual sensation due to physiological or neurological factors. With this lack of vision blind people have to face unexpected situations while travel or attend their day to day work. There are many guidance systems with a few superfluous features for visually impaired travelers to navigate quickly and safely against obstacles. Most of such systems support only one area of interest such as identifying objects and supporting navigation. The system proposed in this paper is capable of providing some essential guidance for a blind person to find the way in an in-house environment. The research focuses on exploiting the use of image processing and other sensors to provide a clear understanding of an environment with voice perception. The visual perception is captured by the camera attached to the blind person and provides preprocessed instances of these visual frames as descriptors to an artificial neural network. In addition to object recognition, sensor based hardware module is used to detect obstacles, and to provide information on other unexpected situations.
item: Conference-Extended-Abstract
Recognition of online learner emotions through facial expressions: online learner facilitator
(2014-01-16) Chethana, BAS; Rukmal, KWJ; Rathnayake, HC; Randeni, RPKJ; Sandanayake, TC
Emotions play an essential role in decision making, managing, perceiving, learning and influencing the thinking process of humans. Emotions are also important in teaching and learning and often find expression in particular ways, such as interactions with others, as well as interest and motivation in learning. However the influence of emotions on learning is still under-emphasized. Continuous and increasing exploration of the complex set of parameters surrounding online learning reveals the importance of the emotional states of learners and especially the relationship between learning and affective behavior. Automated learner facilitator is a system that has ability to capture the learners' facial expression and comprehend that data. The system always detects a user's facial expressions and recognized the changes in those facial expressions. The proposed actions were based on an experiment carried out among in the Sri Lankan university system regarding online learner behaviour during learning. The system focuses on investigate the current approaches in facial expression recognition and application them into the field of online learning to solve the problems related to learner facilitation. The results of the experiment have been used for new developments in e-Iearning courses and thereby the performance of e-learners is expected to be enhanced.
item: Conference-Full-text
Recognition of online learner emotions through facial expressions: online learner facilitator
Chethana, BAS; Rukmal, KWJ; Rathnayake, HC; Randeni, RPKJ; Sandanayake, TC
Emotions play an essential role in decision making, managing, perceiving, learning and influencing the thinking process of humans. Emotions are also important in teaching and learning and often find expression in particular ways, such as interactions with others, as well as interest and motivation in learning. However the influence of emotions on learning is still under-emphasized. Continuous and increasing exploration of the complex set of parameters surrounding online learning reveals the importance of the emotional states of learners and especially the relationship between learning and affective behavior. Automated learner facilitator is a system that has ability to capture the learners’ facial expression and comprehend that data. The system always detects a user’s facial expressions and recognized the changes in those facial expressions. The proposed actions were based on an experiment carried out among in the Sri Lankan university system regarding online learner behaviour during learning. The system focuses on investigate the current approaches in facial expression recognition and application them into the field of online learning to solve the problems related to learner facilitation. The results of the experiment have been used for new developments in e-learning courses and thereby the performance of e-learners is expected to be enhanced.

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