Cheap printing dissertation services in Melaka
I want to promote a good shop for printing a dissertation/thesis service in Melaka. Each paper, cost only 5sen (more than 100papers) and photostat is around 4sen. Very cheap, it is?
The shop near to Multimemedia University (MMU) Melaka, Bukit Beruang. Below are detailed and some picture of the shop:
Address of the shop:
No.13 Jalan Bukit Beruang Utama 2, Taman Bukit Beruang Utama 75450
Picture of the front shop and their rate of services:
Printing murah utk thesis di Melaka
Saya ingin berkongsi mengenai kedai murah untuk print thesis di kawasan Melaka. Setiap helai, harga hanya 5sen (lebih 100 kertas) dan fotokopi hanya 4sen. Murah bukan?
Kedai ini berhampiran dengan Universiti Multimedia (MMU) Melaka di Bukit Beruang. Berikut adalah huraian dan gambar mengenai kedai berkenaan:
Note: Have a cheap printing shop around Melaka? Please share with me. 😉
The increase in global surface temperature in response to the changing composition of the atmosphere will significantly impact upon local hydrological regimes and water resources. This situation will then lead to the need for an assessment of regional climate change impacts. The objectives of this study are to determine current and future climate change scenarios using statistical downscaling model (SDSM) and to assess climate change impact on river runoff using artificial neural network (ANN) and identification of unit hydrographs and component flows from rainfall, evaporation and streamflow data (IHACRES) models, respectively. This study investigates the potential of ANN to project future runoff influenced by large-scale atmospheric variables for selected watershed in Peninsular Malaysia. In this study, simulations of general circulation models from Hadley Centre 3rd generation with A2 and B2 scenarios have been used. According to the SDSM projection, daily rainfall and temperature during the 2080s will increase by up to 2.23 mm and 2.02 °C, respectively. Moreover, river runoff corresponding to downscaled future projections presented a maximum increase in daily river runoff of 52 m3/s. The result revealed that the ANN was able to capture the observed runoff, as well as the IHACRES. However, compared to the IHACRES model, the ANN model was unable to provide an identical trend for daily and annual runoff series.
Download full manuscript:
Springer or Research_Gate
Hassan, Z., Shamsudin, S., Harun, S., Malek, M. A., and Hamidon, N. (2015). Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: A case study in the northern area of Peninsular Malaysia. Environmental Earth Sciences, 74(1), 463-477. DOI: 10.1007/s12665-015-4054-y