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1,112 Terima Darjah Kebesaran Pulau Pinang

(2011-07-09)

15 160

Publication

10 premis judi `bergelap’

(2024-12-15)

1 2

Publication

10 universiti berentap di peringkat ke-3 VEST 2017

(2017-10-13)

4 102

Publication

10,000 kakitangan TNB bertugas sepanjang hari raya

(2024-04-08)

3 98

Publication

10,000 petugas TNB siap siaga sempena Aidilfitri

(2024-04-08)

7 101

Publication

12 months given to identify higher education issues

(2024-01-13)

Jaayne Jeevita

7 167

Publication

14,210 village streetlights in Peninsular Malaysia, Sabah completed

(2024-12-19)

2 1

Publication

15 schools in Perak to benefit from RE project to reduce electricity bills

(2024-08-13)

13 50

Publication

1500 peserta mengambil bahagian

(2012-10-30)

3 157

Publication

16 keluarga terjejas tanah runtuh Sungai Ruil kini lebih selesa

(2024-02-08)

3 137

Publication

1700 nm and 1800 nm band tunable thulium doped mode-locked fiber lasers

(Nature Publishing Group, 2017)

Emami S.D.

;

Dashtabi M.M.

;

Lee H.J.

;

Arabanian A.S.

;

Rashid H.A.A.

;

20433709400

;

35368173000

;

57190622221

;

36025017300

;

56055976300

This paper presents short wavelength operation of tunable thulium-doped mode-locked lasers with sweep ranges of 1702 to 1764 nm and 1788 to 1831 nm. This operation is realized by a combination of the partial amplified spontaneous emission suppression method, the bidirectional pumping mechanism and the nonlinear polarization rotation (NPR) technique. Lasing at emission bands lower than the 1800 nm wavelength in thulium-doped fiber lasers is achieved using mode confinement loss in a specially designed photonic crystal fiber (PCF). The enlargement of the first outer ring air holes around the core region of the PCF attenuates emissions above the cut-off wavelength and dominates the active region. This amplified spontaneous emission (ASE) suppression using our presented PCF is applied to a mode-locked laser cavity and is demonstrated to be a simple and compact solution to widely tunable all-fiber lasers. � 2017 The Author(s).

10

Publication

18 possible sites for waste-to-energy plants identified

(2024-07-02)

Teh Athira Yusof

10 134

Publication

19 Penuntut UPNM didakwa

(2017-06-15)

8 99

Publication

1D numerical hydrodynamic shallow flow model for urban area

(2016-06)

Nor Azlina binti Alias

45 300

Publication

1Malaysia Kolam Creates Record

(2010-03-03)

Fernandez, Charles

11 216

Publication

1MDB faces hiccup in power assets listing

(2013-12-02)

Ben, Shane Lim

5 167

Publication

1TNB catat Malaysia Book of Records

(2013-10-22)

13 238

Publication

2 Dimensional Hydrodynamic Flood Routing Analysis on Flood Forecasting Modelling for Kelantan River Basin

(EDP Sciences, 2016)

Azad W.H.

;

Sidek L.M.

;

Basri H.

;

Fai C.M.

;

Saidin S.

;

Hassan A.J.

;

57192919599

;

35070506500

;

57065823300

;

57214146115

;

57192919900

;

57192919800

Flood disaster occurs quite frequently in Malaysia and has been categorized as the most threatening natural disaster compared to landslides, hurricanes, tsunami, haze and others. A study by Department of Irrigation and Drainage (DID) show that 9% of land areas in Malaysia are prone to flood which may affect approximately 4.9 million of the population. 2 Dimensional floods routing modelling demonstrate is turning out to be broadly utilized for flood plain display and is an extremely viable device for evaluating flood. Flood propagations can be better understood by simulating the flow and water level by using hydrodynamic modelling. The hydrodynamic flood routing can be recognized by the spatial complexity of the schematization such as 1D model and 2D model. It was found that most of available hydrological models for flood forecasting are more focus on short duration as compared to long duration hydrological model using the Probabilistic Distribution Moisture Model (PDM). The aim of this paper is to discuss preliminary findings on development of flood forecasting model using Probabilistic Distribution Moisture Model (PDM) for Kelantan river basin. Among the findings discuss in this paper includes preliminary calibrated PDM model, which performed reasonably for the Dec 2014, but underestimated the peak flows. Apart from that, this paper also discusses findings on Soil Moisture Deficit (SMD) and flood plain analysis. Flood forecasting is the complex process that begins with an understanding of the geographical makeup of the catchment and knowledge of the preferential regions of heavy rainfall and flood behaviour for the area of responsibility. Therefore, to decreases the uncertainty in the model output, so it is important to increase the complexity of the model. � The Authors, published by EDP Sciences, 2017.

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