Page 259 - Laporan Tahunan UPNM 2022

Penerbitan Ilmiah

Judul: Royal Malaysian Navy - Asset Management

ISBN: 978-967-2414-91-2
Format/Bahasa: Bercetak/Bahasa Inggeris
Pengarang: Haliza Mohd Zahari; Rogis Baker; Nur Surayya Mohd
Saudi
Ringkasan: Royal Malaysian Navy - Asset Management is an
approach to asset management from tne fundamental aspects and
continues with the discussing the concept, theories and the models
related as well as the phenomena involved. An asset that has been
in service for a long period will habve issues related to aging and
performance. This book explores the challenges faced by the Royal
Malaysian Navy (RMN) in managing their asset. Besides, it explains
in actual maintenance activities executes by the RMN in extending
the life cycle of their aging assets. This books aims to develop a
general understanding not only of asset management but also of
managing an aging asset. This book discusses the case study on
aging asset management un the RMN, which gives a true picture
of asset management in an organisation where assets are used for
a long period and sometimes beyond their economic life. This is
because the assets obtained are expensive capital assets, making
them difficult to replace. In addition to implementing SLEP. The
RMN has developed the transformation program named RMN 15 to
5. Besides the challenges faced by the RMN for the modernasition
of older assets to be replaced by five classes of ship with moden
capability which will protect Malaysia sovereignty.

Judul: Pengkomputeran Penandaan Golongan Kata Bahasa
Melayu
ISBN: 978-967-2414-58-2

Format/Bahasa: Bercetak/Bahasa Malaysia
Pengarang: Hassan Mohamed
Ringkasan: Penegasan utama dalam buku ini adalah untuk
mengendalikan perkataan kabur dan perkataan yang tidak
diketahui atau dikenali sebagai perkataan ‘anu’. Dalam konteks ini,
perkataan anu bermaksud sesuatu perkataan yang belum ditemui
oleh program komputer (dalam konteks ini penanda golongan
kata) yakni perkataan tersebut tidak tersimpan dalam pangkalan
data, kamus atau tidak terdapat dalam korpus dan sebagainya.
Bagaimanapun perkataan tersebut muncul dalam teks baharu
yang hendak diproses. Pembangunan penandaan golongan kata
ini menggunakan kaedah Model Markov Tersembunyi atau dalam
Bahasa Inggeris dikenali sebagai Hidden Markov Model.

258 LAPORAN TAHUNAN 2022
Universiti Pertahanan Nasional Malaysia