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IJIET 2018 Vol.8(1): 46-50 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.1.1010

Post-mortem Interval Estimation System (e-PMI) in Estimating the Time of Death

Zuriana Abu Bakar, Muhammad Bin Che Abdullah, and Noor Maizura Mohd Noor

Abstract—Technology has a great impact on human civilization. In order to bring the technology to meet its requirement, a system is developed. A system is a collection of elements or components that are organized for a common purpose. Through a system, technology is able to meet its requirements and benefit humans. In terms of crime investigation, previously, most of the crime investigation processes had been done manually. However, Asante (2013) had developed a simple application, which concerns the time of death estimation. However, this application was not a fully automatic system and was unable to give a proper contribution to the forensic science field and the time of death estimation. Thus, the Post-Mortem Interval Estimation System (e-PMI) was developed to assist in estimating the time of death by considering rectum temperature, ambient temperature, weight of corpse, layer of corpseā€™s clothes, condition of corpse, and the condition of air and water. This system is expected to become the base system in estimating the time of death in order to produce a more reliable and better result.

Index Terms—Technology, system, time of death.

The authors are with the Computer Science Department in Universiti Malaysia Terengganu, Malaysia (e-mail: zuriana@umt.edu.my, gsk1749@pps.umt.edu.my, maizura@umt.edu.my).

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Cite: Zuriana Abu Bakar, Muhammad Bin Che Abdullah, and Noor Maizura Mohd Noor, "Post-mortem Interval Estimation System (e-PMI) in Estimating the Time of Death," International Journal of Information and Education Technology vol. 8, no. 1, pp. 46-50, 2018.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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