Oleh: Professor Madya Dr. Nor Azman Ismail, Ustaz Dr. Kamarul Azmi Jasmi, Nor Azrini Jaafar dan Yusman Azimi Yusoff, Universiti Teknologi Malaysia

Ibadah solat merupakan kewajipan utama dalam kehidupan seorang muslim. Solat juga merupakan tiang agama. Rasulullah S.A.W. bersabda “Ajarkan anak-anakmu solat di umur 7 tahun, dan hukum mereka (jika enggan melakukan solat) di umur 10 tahun.” Apabila solat yang dilakukan tidak sempurna, maka akan hilanglah makna dan kelebihan ibadah solat. Walaupun perkembangan teknologi pesat membangun namun sehingga kini tidak banyak kajian berkaitan pergerakan solat telah dilakukan. Malah semasa artikel ini ditulis masih belum ada kajian ilmiah di dunia yang secara khusus menganalisa pergerakan solat secara masa nyata. Inovasi ini berjaya menghasilkan perisian komputer yang berkemampuan menyemakan corak pergerakan solat seseorang. Penyelidikan selama tiga tahun ini telah dibiayai sepenuhnya menerusi penajaan MyBrain15 dari Kementerian Pengajian Tinggi Malaysia (MOHE) yang berjumlah lebih kurang RM 80,000.

Rajah menunjukan kedudukan multi sensors di rumah

SolatLab Harian Metro https://www.hmetro.com.my/node/180830

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Y. Y. Pang, N. A. Ismail (2015), Users’ Preferences for Map Navigation Gestures, ICCDVE 2015 : XIII International Conference on Collaborative Design, Visualization and Engineering Istanbul,Turkey Jan 26-27, 2015, pp 2636-2642

This paper evaluates Public Universities in Malaysia based on the webometric perspective. Web Impact Factor (WIF) evaluation was carried out by using Majestic SEO and Google Search engine. It is found that UMS have the highest Average WIF with 13.013 followed by UMK with 2.670 WIF and in the third place is UPNM with 1.289 WIF

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This paper proposes a novel technique for object identification and representation in complex traffic scene based on the colour features integrated with line detection techniques. Objects of interest (vehicles) are represented by using a Minimum Bound Region (MBR) with a reference coordinate. Object appearance is represented by colour-based features computed from the proposed technique. The performance of the object identification based colour features depends on some parameters, which should be determined carefully to locate and identify objects that exists in the images successfully. Experiments have been conducted to determine the efficient parameters that should used and demonstrate that single and multiple known objects in complex scenes can be identified by the proposed approach.

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Meeting on 23 Sept 2014

Webo for eLPPT eLNPT