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The rise of Melaka Sultanate city as the international trade centre and 'emporium of the east' in the fifteenth and early sixteenth centuries has been well explained and discussed by many scholars. The Melaka Sultanate city has gone through two and a half centuries of its historical narrative. However, less academic study has been done to trace the Melaka Sultanate physical constructs and municipality in their geo-location. This study investigates historical records in its attempt to trace Melaka Sultanate constructs within the municipality of colonial Melaka period. This study is moulded by the nature of investigative and exploratory research; a study which built its understanding by collecting, examining, analysing and assembling 'relevant puzzles' into the mix based on the historical information as fundamental ground in making its case. Data collection in the research includes analysis of archival materials which provides descriptive information related to the municipality contemporary to the Sultanate period and historical visuals, largely municipal plans produced in the post Sultanate period. In achieving its objectives, this study is driven by narrative analysis, and visual anthropological analysis framework. Based on the finding of this study, there are strong cases where constructs in the tradition of Melaka Sultanate can be traced within the post Melaka Sultanate municipal plans. The research contributes to a reconstruction study of Melaka Sultanate in view of heritage to tourism that is align with SDG11.4 & 8.9.

This article proposes an application of emotion recognizer system in telecommunications entitled voice driven emotion recognizer mobile phone (VDERM). The design implements a voice-to-image conversion scheme through a voice-to-image converter that extracts emotion features in the voice, recognizes them, and selects the corresponding facial expression images from image bank. Since it only requires audio transmission, it can support video communication at a much lower bit rate than the conventional videophone. The first prototype of VDERM system has been implemented into a personal computer. The coder, voice-to-image converter, image database, and system interface are preinstalled in the personal computer. In this article, we present and discuss some evaluations that have been conducted in supporting this proposed prototype. The results have shown that both voice and image are important for people to correctly recognize emotion in telecommunications and the proposed solution can provide an alternative to videophone systems. The future works list some modifications that can be done to the proposed prototype in order to make it more practical for mobile applications.