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Ultrasonic atomization of graphene derivatives for heat spreader thin film deposition on silicon substrate

150 150 MIMOS Berhad

Authors:

Mohd Rofei Mat Hussin, Siti Aishah Mohamad Badaruddin, Nik Mohd Razali Mohd Nora, and Mohd Hilmy Azuan Hamzah

 

Abstract:

We report the development of graphene derivative deposition on silicon wafers through ultrasonic atomization process. The study includes the ultrasonic atomizer system design, process development, characterization of the nanomaterial, and its heat transfer analysis. In this study, ultrasonic atomizer system was developed to deposit graphene oxides on 8”silicon wafer for seamless integration with semiconductor processes. The atomization process was performed in a chamber under control environment to ensure high quality of deposition process.

 

Source:

Materials Today: Proceedings, 7 (2019)

Preliminary Study of Poly (Tetrahydrofurturyl Acrylate) Thin Film As a Potential Material of Ion Selective Electrodes – The case of Nitrate Ion-Selective Electrode

150 150 MIMOS Berhad

Authors:

Sagir Alva, Robi Suherman, Vivi Friliandita, Deni Shidqi Khaerudini, Edy Herianto Majlan, and Aiman Sajidah Abd Aziz;

 

Abstract:

A preliminary study on the use of a photocurable poly-tetrahydrofurfuryl acrylate (pTHFA) has been successfully performed as an alternative membrane for application in the Ion-Selective Electrode (ISE) sensors such as Nitrate-ISE. The pTHFA membrane was synthesized using photopolymerization technique and further optimized by varying the concentration of the photo-initiator. The pTHFA photopolymer was characterized by C-NMR, H-NMR, FTIR, and DSC. The best sensing formulation comprising pTHFAphotopolymer was obtained from composition II with Tgof -17.3 °C. In the Nitrate-ISE fabrication process, initially, the tetraoctylammonium nitrate (TOAN) ionophore was optimized. The optimum TOAN concentration of 4.2 mg was thenimmobilized onto composition II as a sensing matrix. Results showed that the pTHFA based ISE sensor exhibited a slope near the Nernstian number with a good linear response for detecting nitrate ion concentration between 10–1to 10–4M (r2= 0.9994) and limit of detection as low as 3.47 × 10–5M. Furthermore, the selectivity behavior of pTHFA based nitrate-ISE sensor was determined in various typesof interfering ions such as SO42–, H2PO4–, HPO42–, Cl–and I–. The sensor has demonstrated selectivity coefficient of -2.27 ± 0.2, -2.49 ± 0.6, -2.18 ± 0.8, -1.31 ± 0.1 and 0.41 ± 0.2, respectively. The fabricated pTHFA ISE-Nitrate sensor was further tested in the fish ponds, soils, and also rivers. The sensors have shown excellent performance and is comparable tothe standard method.

 

Source:

Indonesian Journal of Chemistry, 2019

Experiences in Shift Left Test Approach

150 150 MIMOS Berhad

Authors:

Azura Othman, Noorul Ahlami Kamarul Zaman and Rajashekara Swamy

 

Abstract:

One of the key challenges in traditional testing method is testing activity being pushed towards the end of development lifecycle. As a result, the time given for testing is short but the expectation is to have maximum test coverage. In addition, late identification of defects in development cycle can result in major re-work and further delays. Based on these experiences, we have attempted to adopt Shift-Left testing approach, which is considered as one of the best practices in the industry. In reference to [1], the method is to perform testing earlier in the lifecycle, test early and often. [1] There are four methods of Shifting Testing to the Left. These are referred to as Traditional Shift Left testing, Incremental Shift Left testing, Agile/DevOps Shift Left testing, and Model-Based Shift Left testing. This paper explains the experiences in applying Model-Based Shift Left testing method.

 

Source:

International Journal of Emerging Technology and Advanced Engineering, V9 I8, August 2019

Test Case Prioritization Using Firefly Algorithm for Software Testing

150 150 MIMOS Berhad

Authors:

Muhammad Khatibsyarbini ; Mohd Adham Isa ; Dayang N. A. Jawawi ; Haza Nuzly Abdull Hamed ; Muhammad Dhiauddin Mohamed Suffian;

 

Abstract:

Softwaretestingisavitalandcomplexpartofthesoftwaredevelopmentlifecycle.Optimizationof software testing is still a major challenge, as prioritization of test cases remains unsatisfactory in termsof Average Percentage of Faults Detected (APFD) and time execution performance. This is attributedto a large search space to nd an optimal ordering of test cases. In this paper, we have proposed anapproach to prioritize test cases optimally using Firey Algorithm. To optimize the ordering of test cases,we applied Firey Algorithm with tness function dened using a similarity distance model. Experimentswere carried on three benchmark programs with test suites extracted from Software-artifact InfrastructureRepository (SIR). Our Test Case Prioritization (TCP) technique using Firey Algorithm with similaritydistance model demonstrated better if not equal in terms of APFD and time execution performance comparedto existing works. Overall APFD results indicate that Firey Algorithm is a promising competitor in TCPapplications

 

Source:

IEEE Access ( Volume: 7 ) , 2019

A Numerical Analysis of Various pH Level for Fiber Optic pH Sensor Based on Bromophenol Blue in Silica

150 150 MIMOS Berhad

Authors:

Maizatul Zolkapli, Suhairi Saharudin, Wan Fazlida Hanim Abdullah

 

Abstract:

The fabrication and characterization of an optical fiber pH sensor for the detection range 2 –7 are described. The sensing element was prepared by coating the uncladded middle portion of a multimode plastic clad silica fiber (PCF) with xerogel film of immobilized bromophenol blue (BPB) prepared by a sol-gel process. The exponential decay of the evanescent wave at the core-cladding interface of the multimode fiber was utilized to determine the pH response. The objective of this work is to analyze the measurement of the fiber optic sensing probe towards various pH level. The intensity of the absorbance was analyzed using statistical technique (Statistical Package for the Social Sciences, SPSS) to identify the significant pH range that can be used as a reference in developing the sensor instrumentation in the future.pH2 showsthe highest significance among all pH valuesbased on the statistical results using error plots.

 

Source:

Materials Science 2019