Search Results - Back surface based

MoS2 thin film hetero-interface as effective back surface field in CZTS-based solar cells by Islam M.S., Doroody C., Kiong T.S., Rahman K.S., Zuhdi A.W.M., Yap B.K., Alam M.N.-E., Amin N.

“…Furthermore, the necessity of optimizing process parameters and characterizing MoS2 back contacts in the context of CZTS-based solar cells is discussed. …”

Effect of front-surface-field and back-surface-field on the performance of GaAs based-photovoltaic cell by Gamel M., Jern K.P., Rashid E., Jing L.H., Yao L.K., Wong B.

Multi-objective optimization of incremental sheet metal forming by Zakaria, Faiz, Hrairi, Meftah, Daoud, Jamal Ibrahim

“…The implementation of Taguchi-based Grey optimization will be used to derive the optimal process parameters combination of wall angles, surface roughness and spring back. …”
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Comparative steam bending characteristics of some planted forest wood species in Malaysia by Ratnasingam, Jegatheswaran, Ab Latib, Hazirah, Lim, Choon Liat, Farrokhpayam, Saeid Reza

“…The instantaneous spring-back was measured after 10 days, while the spring-back over time was measured from days 15 to 65. …”
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The construction of tie-back earth retaining structures / Muhammad Izham Irwan by Irwan, Muhammad Izham

“…Tie back earth retaining structure is a very important thing to elaborate, therefore this report will discuss about tie back earth retaining structure efficiency for the building envelope based on code of practice retaining structure efficiency. …”
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An MFL probe using shiftable magnetization angle for front and back side crack evaluation by Mohd Aufa Hadi, Putera Zaini, Aiman, Mohd Halil, Mohd Mawardi, Saari, Tsukada, Keiji, Nurul A’in, Nadzri

“…Using the developed probe, we measure the magnetic responses at front and back side surfaces of a 2-mm galvanized steel plate at different frequencies. …”
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Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending by Abu Khadra, Fayiz Y. M.

“…A neural network algorithm based on the backpropagation algorithm has been developed. …”
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An Optimal-Pruned Extreme Learning Machine based modelling of surface roughness by Janahiraman T.V., Ahmad N.

Flexible photoanode on titanium foil for back-illuminated dye sensitized solar cells by Shaban, Suraya, Shafie, Suhaidi, Sulaiman, Yusran, Ahmad, Fauzan, Lokman, Muhammad Quisar, Mohamed Sharif, Noor Fadzilah

“…Performance comparison with the solid state FTO glass based DSSC using the back-illumination and frond-illuminated techniques were also carried. …”
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Effect of Cu2Te Back Surface Interfacial Layer on Cadmium Telluride Thin Film Solar Cell Performance from Numerical Analysis by Harif M.N., Doroody C., Nadzri A., Nisham Rosly H., Ahmad N.I., Isah M., Amin N.

“…The optimal energy bandgap range for the proposed back surface layer of Cu2Te is derived to be in the range of 1.1 eV to 1.3 eV for the maximum conversion efficiency, i.e., around 21.3%. …”

Long range surface plasmon based biosensor for dengue virus detection / Wong Wei Ru by Wong, Wei Ru

“…The study in this thesis aimed to develop a compact, cost-effective, label-free, real-time biosensor based on long-range surface plasmon polariton (LRSPP) waveguides for dengue detection. …”
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Artificial neural network modeling of grinding of ductile cast iron using water based sio2 nanocoolant by M. M., Rahman, K., Kadirgama, Azma Salwani, Ab Aziz

“…This paper presents optimization of the grinding progress of ductile cast iron using water-based SiO2 nanocoolant. Conventional and water-based nanocoolant grinding was performed using a precision surface grinding machine. …”
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GUI Based ANFIS Modeling: Back Propagation Optimization Method for CO2 Laser Machining by Sivarao, Subramonian

“…Back propagation optimization method has been employed to optimize the epoch number and training of data sets. …”
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Inverse problem: comparison between linear back-projection algorithm and filtered back-projection algorithm in soft-field tomography by Yasmin, Abdul Wahab, Ruzairi, Abdul Rahim, Fazalul, Rahiman, Suzzana, Ridzuan Aw, Fazlul Rahman, Mohd Yunus, Jaysuman, Pusppanathan, Nor Muzakkir , Nor Ayob, Leow, Pei Ling

“…An image reconstruction algorithm in process tomography is very important in ensure that the reconstructed image is satisfied. The back-projection algorithm is the most popular algorithm applied in process tomography including a linear back-projection (LBP) algorithm and a filtered back-projection (FBP) algorithm. …”
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Effect of stamping parameters of the spring-back behaviour of oil palm fibre composite by Che Mahzan, Muhammad ‘Ammar

“…Statistical analysis conducted shows all the studied parameters gave significant effect towards spring-back. Based on the analysed result, an empirical model was formulated to predict the spring-back angle. …”
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Experimental study of composite cold-formed steel c-section connected back-to-back / Mohamad Rohaidzat Mohamed Rashid, Noorsaidi Mahat and Nazri Nasir by Mohamed Rashid, Mohamad Rohaidzat, Mahat, Noorsaidi, Nasir, Nazri

“…The test specimens were designed to study the effect on the different shapes of shear connectors that have been applied for cold-formed steel lipped C-sections connected back-to-back. The test specimens have been categorized into two series which are four numbers of specimens for the first series and two numbers of specimens for the second series. …”
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THE ANALYSIS OF PDC CUTTER CHARACTERISTIC IN HARD FORMATION DRILLING RELATING TO WEAR (BACK & SIDE RAKE ANGLE) by Nasir Gathoth Subroto, Affan

“…The important design features of PDC bit include the size, shape and number of cutters used, the angle of attack between the cutter and the surface of the exposed formations and cutter orientation which consists of back rake angle and side rake angle. …”
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Automated rubber seed clones identification using QTR-1A reflectance sensor and PIC by Mustaffa, Nor Anida

“…Finally, the range of average output voltage for each clone has been made based on the analysis obtained. It was found that there are the brightness of brown colour at front surface can be used in order to classify the types of rubber tree clones compare with back surface.…”
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Development of an artificial neural network algorithm for predicting the surface roughness in end milling of inconel 718 alloy by Hossain, Mohammad Ishtiyaq, Amin, A. K. M. Nurul, Patwari, Anayet Ullah

“…A predictive model for surface roughness was created using a feed-forward back-propagation neural network exploiting experimental data. …”
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Response Surface Method and Neural Network to Determine Surface Roughness for Laser Cutting on Acrylic Sheets by M. M., Noor, K., Kadirgama

“…Box-Behnken design based on response surface method and multilayer perceptions neural network were used to predict the effect of laser cutting parameters. …”
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