In this paper, a Neural Network Deployment (NND) algorithm is presented to realize and synthesize... more In this paper, a Neural Network Deployment (NND) algorithm is presented to realize and synthesize Multi-Valued Logic (MVL) functions. The algorithm is combined with back-propagation learning capability and MVL operators. The operators are used to synthesize the functions. Consequently the synthesized expressions are applied by the MVL neural operators. The advantages of NND-MVL algorithm are demonstrated by accuracy measurement of MVL neural operator realization. Furthermore, evaluation of NND-MVL algorithm is analyzed by its application, propagation delay and accuracy achieved for training with 4 hidden neurons. In a brief, an effort of training MVL neural operators and utilizing them for logic synthesis is observed.
eBuayan is one of the community telecentre under ISITI-CoERI, was started to serve the community ... more eBuayan is one of the community telecentre under ISITI-CoERI, was started to serve the community in 2009 with two main objectives to be reached, (i) to bridge digital divide between rural and urban inhabitants; and (ii) to promote economic development of the communities. The first objective is the prerequisite to achieve the second objective. A pertinent question is to what extent the telecentre was served as a catalyst for socio-economic development of concerning community? Investigating such question means the paper uncovered hindering issues of the telecentre as instruments to free the communities from the source of underdevelopment. By utilizing the existing data, the aim of this paper is to investigate and discuss on the telecentre achievement based on the objectives and issues. The issues underscored the effectiveness of the telecentre in struggling it objectives also discussed based on a constructed conceptual framework of “informative and marketing community”. This paper arg...
As described by Oviatt et al.(1997), when two or more modalities work together, the integration t... more As described by Oviatt et al.(1997), when two or more modalities work together, the integration techniques used for combining different modalities into a whole system is very important. The integration techniques are the main determinants in guiding the design of the multimodal system. To resolve a map-based multimodal system, we propose to use natural language processing (NLP) to identify and describe the syntax and the semantics of prepositions within the spoken speech, in particular, when it relates to maps or directions. ...
The purpose of this research is to improve the multimodal integration technique, of multiple spee... more The purpose of this research is to improve the multimodal integration technique, of multiple speech and sketch inputs in human computer interaction. In our technique, we integrated the sketch and speech representation model, taking into consideration the normalised relative distances between objects in the sketch, spatial preposition and the deictic words from the speech. We compared the proposed integration technique with the integration technique using only spatial information. The results showed an increase in the matching of correct pairs of spoken and sketched inputs, by 11%, that is, from 52% to 63%. The improved integration technique has shown that the probability of matching the wrong pair of spoken and sketched inputs can be reduced.
In this paper, a Neural Network Deployment (NND) algorithm is presented to realize and synthesize... more In this paper, a Neural Network Deployment (NND) algorithm is presented to realize and synthesize Multi-Valued Logic (MVL) functions. The algorithm is combined with back-propagation learning capability and MVL operators. The operators are used to synthesize the functions. Consequently the synthesized expressions are applied by the MVL neural operators. The advantages of NND-MVL algorithm are demonstrated by accuracy measurement of MVL neural operator realization. Furthermore, evaluation of NND-MVL algorithm is analyzed by its application, propagation delay and accuracy achieved for training with 4 hidden neurons. In a brief, an effort of training MVL neural operators and utilizing them for logic synthesis is observed.
eBuayan is one of the community telecentre under ISITI-CoERI, was started to serve the community ... more eBuayan is one of the community telecentre under ISITI-CoERI, was started to serve the community in 2009 with two main objectives to be reached, (i) to bridge digital divide between rural and urban inhabitants; and (ii) to promote economic development of the communities. The first objective is the prerequisite to achieve the second objective. A pertinent question is to what extent the telecentre was served as a catalyst for socio-economic development of concerning community? Investigating such question means the paper uncovered hindering issues of the telecentre as instruments to free the communities from the source of underdevelopment. By utilizing the existing data, the aim of this paper is to investigate and discuss on the telecentre achievement based on the objectives and issues. The issues underscored the effectiveness of the telecentre in struggling it objectives also discussed based on a constructed conceptual framework of “informative and marketing community”. This paper arg...
As described by Oviatt et al.(1997), when two or more modalities work together, the integration t... more As described by Oviatt et al.(1997), when two or more modalities work together, the integration techniques used for combining different modalities into a whole system is very important. The integration techniques are the main determinants in guiding the design of the multimodal system. To resolve a map-based multimodal system, we propose to use natural language processing (NLP) to identify and describe the syntax and the semantics of prepositions within the spoken speech, in particular, when it relates to maps or directions. ...
The purpose of this research is to improve the multimodal integration technique, of multiple spee... more The purpose of this research is to improve the multimodal integration technique, of multiple speech and sketch inputs in human computer interaction. In our technique, we integrated the sketch and speech representation model, taking into consideration the normalised relative distances between objects in the sketch, spatial preposition and the deictic words from the speech. We compared the proposed integration technique with the integration technique using only spatial information. The results showed an increase in the matching of correct pairs of spoken and sketched inputs, by 11%, that is, from 52% to 63%. The improved integration technique has shown that the probability of matching the wrong pair of spoken and sketched inputs can be reduced.
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Papers by Gary Loh