Unmanned air vehicles (UAV) have been used for many years and it mainly focus on military purposes. Numerous UAV development have been popular worldwide because the low in development cost, operating cost and ability to provide accurate surveillance information and it is a better option for performing reconnaissance missions in hostile environment. However, in the past years a new type of UAV has appeared that possessed lighter weight and smaller in size and it is categorized as a micro unmanned air vehicle (μ-UAV). Although the non-autonomous ready-to-fly tailless μ-UAV exists among local universities, the development of non-autonomous ready-to-fly tailless μ-UAV is still open to be explored. Thus, this project demonstrates the development of the non-autonomous ready-to-fly tailless μ-UAV named as Neo-Ptero. A special CNC hot wire cutter machine was used in the Neo-Ptero fuselage and wing development in which has evidently produced high accuracy of shapes and geometry based on the CAD design. A 3D printing process was used to produce few parts in the Neo-Ptero μ-UAV model. The model was equipped with on shelves RC components for future flight testing purpose. The actual Neo-Ptero weigh around 1.3kg and has a wingspan of 120.6cm.
The study was carried out to determine the physical and mechanical properties of composite lumber made from cassava (Mahinot esculenta Crantz) and bamboo (Bambusa vulgaris) in different ratios which is 100% cassava with 0% bamboo, 75% cassava with 25% bamboo, 50% cassava with 50% bamboo, 25% cassava with 75% bamboo and 0% cassava with 100% bamboo. The tests samples for determining the strength properties were divided into two categories namely mechanical testing and physical testing. Basic density of the samples was carried out for physical testing. The lowest basic density was in samples with 100% cassava which is 0.49 g/cm3 and highest in samples with 100% bamboo which is 0.68 g/cm3. Two tests for the mechanical testing are bending test and compression test. In bending test, modulus of elasticity (MOE) and modulus of rupture (MOR) were both highest for samples with 100% bamboo which the reading of MOE was 16794.03 N/mm2 and 122.52 N/mm2 for MOR. Similar to the bending test, compression test is the highest for the samples with 100% bamboo which are 65.58 N/mm2. From statistical analysis, the basic density, static bending can compression strength give significant value at 95% confidence interval.
Interactive learning is a pedagogical model that encourages students to be part of the lesson instead of passive observers, quietly sitting at a desk taking notes or memorizing information. Students interact with the material, each other and the teacher in an active way. The new emerging technologies that can overcome some of the potential difficulties in this area includes computer graphics, augmented reality, computational dynamics, and virtual worlds. Therefore, the manufacturing industry relies on new design concepts and methods undertake the challenges in integrating technologies to expedite the march towards industrial revolution 4.0.This paper reviews and investigates the current context of the use of interactive learning such as Virtual Reality(VR),Augmented Reality(AR),Computer aided design and manufacturing(CADCAM), computer graphics, computational dynamics and new emerging technologies that effect on students and lectures in learning and teaching environments for Manufacturing Engineering. Interactive learning is part of the factors that could influence the self-learning and regulations environments.
Education needs to change working life in order to improve and ensure the latest technology has been adopted to cater the new era of industrial revolution. To reach this, a technological-oriented education is required for students. In this section, Virtual Reality (VR) technology is useful to get empirical experience in tertiary education. Moreover, virtual world provides a hazard-free and explorative learning experience. This paper reviews the application of VR in engineering education. This work also covers the usage of VR application which begins with the history of VR application, reasons of VR in education, key elements for immersive VR collaboration, and types of VR systems. The input / output devices which involved in VR systems were also discussed. This paper also reviews VR systems classification and usage of VR in education systems. VR in design application was finally reviewed followed by the advantages and disadvantages of VR systems and VR hardware. The last section provides future trends and conclusion.
Protease is an enzyme that catalysed the hydrolysis of protein into peptide. Application of protease in industry has been linked with cost effective substrates and complex of enzyme-substrate stability. Molecular docking approach has identified casein as a preference substrates. However, lack of data on casein mode of binding to protease and enzyme stability represents a limitation for its production and structural optimization. In this study, we have used a molecular dynamic (MD) to examine the stability of complex enzyme-substrate of protease from Bacillus lehensis G1. The 3D structure of protease (BleG1_1979) was docked with substrate casein using AutoDock Vina. Structural analysis of the substrate-binding cleft revealed a binding site of casein was predominantly at the hydrophobic region of BleG1_1979. The MD of complex BleG1_1979-casein was tested with two temperatures; 298 K and 310 K using GROMACS v5.1.4. MD simulation showed a stable behaviour of BleG1_1979 over the 20 ns simulation period. The molecular docking and MD simulation suggested that the production of protease from B. lehensis G1 by utilization of casein and the stability of complex protease-casein could be a potential application to generate a cost effective enzyme to be develop for industrial use.
As a way to enhance performance in sports, apart from in-field or in court training, athletes are recommended to adopt resistance training into their training routine. As an exercise that needs the performer to split their legs, lunge is suggested to be included as an exercise in a training session. Various researches had been conducted on lunge and several findings showed different methods or protocols of lunge affect the kinematics, kinetics muscle activation and fascicle behaviour response during the exercise. Although not much study conducted on the chronic adaptations, the existing studies suggested that performers should well plan the training protocols as this will cause different training adaptations.
In this research, sago mill effluent was treated using anaerobic sequencing batch reactor (ASBR). Seven HRT from 10 to 1.5 days were tested to evaluate the methane production from sago mill effluent. The findings revealed the highest methane production rate was found at 1.288 L CH4/L reactor. d under HRT of 2 days The results showed that COD removals decreased from 70% to 47% as HRT was reduced from 10 to 2 days. The HRT 1.5 days was found critical for the studied system, which leads to decreased in methane production, yield and COD removal. Overall, ASBR was capable to treat sago mill effluent in producing methane by means of anaerobic digestion.
The aluminium-silicon (Al-Si) based on Metal Matrix Composites (MMCs) is widely used in lightweight
constructions and transport applications requiring a combination of high strength and ductility. A grain
refinement plays a crucial role in improving characteristics and properties of Al alloys. In this investigation,
titanium diboride (TiB2) and scandium (Sc) inoculants were added to the Al-Si alloys for grain refinement of
an alloy. In this investigation, the corrosion resistance rate of Al-Si cast alloy reinforced by TiB2 and Sc were
measured by potentiostat (AUTOLAB) instrument. The aim of this research is to investigate the corrosion
rate for Al-Si-TiB2-Sc composites that immersed in different concentration of acidic solutions. Besides, the
immersion time of acidic solutions also was investigated. All the samples were prepared accordingly for
ASTM standard by the composition of 6.0 wt% TiB2 and 0.6wt% Sc. All the samples undergo cold mounting
technique for easy handling on corrosion tests. Then the samples were immersed in two different
concentrations acidic medium solutions, which were 0.1.and 1.0 M hydrochloric acids (HCl). The corrosion
rate also was investigated for immersion samples of 1.0 M HCl for 21 days. From the results obtained, added
TiB2 and Sc onto Al-Si alloy gave the better properties in corrosion resistance. Corrosion rates to reduce when
the samples were immersed in a lower concentration of acidic medium, 0.1 HCl. However, there are some
significant on the result but it still following the corrosion rates trend. Thus, improvements to reinforcement
content need to be done in further research to cover the lack of this corrosion rates trend.
The aim of this study is to predict the next day PM10 concentration using Bayesian Regression with noninformative
prior and conjugate prior models. The descriptive analysis of PM10, temperature, relative humidity,
nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and ozone (O3) are also included. A case
study used two-years of air quality monitoring data at three (3) monitoring stations to predict the future PM10
concentration with seven parameters (PM10, temperature, relative humidity, NO2, SO2, CO, and O3). The descriptive
analysis showed that the highest mean PM10 concentration occurred at Klang station in 2011 (71.30 µg/m3
) followed
by 2012 (68.82 µg/m3
). The highest mean PM10 concentration was at Nilai in 2012 (68.86 µg/m3
) followed by 2011
(66.29µg/m3
) respectively. The results showed that the Bayesian regression model used a conjugate prior with a
normal-gamma prior which was a good model to predict the PM10 concentration for most study stations with (R2 =
0.67 at Jerantut station), (R2 = 0.61 at Nilai station) and (R2 = 0.66 at Klang station) respectively compared to a
non-informative prior.
his paper presents the structure and static model of engine camshaft analysis. For the purposes of this analysis, the finite element method is used. Camshaft is one of the critical components for effective and precise work of internal combustion engines. This camshaft rotates at high speed causing pressure and vibration in the system. Camshafts are also subject to varying fatigue burden due to cam plunger contact. These precise values are required to be determined to prevent failure in the camshaft. The objective of the project is to model and to perform pressure analysis on the camshaft machine. In this project the standard engine cam shafts are modeled and analyzed using the CATIA V5R21 software respectively. This model is created by the basic requirements of the engine. It is done with an existing background, such as the power of acting on cam by means of a valve while running at maxi mum speed. Here the approach becomes fully CAE based. CAE - based approaches enrich Research and limit the time span. A study was conducted to predict the behavior of the different camshafts structure of the material using the finite three - dimensional pressure of the element. Four types of materials such as Steel, Titanium, Aluminum and Magnesium are taken into account. FEA Stress and maximum displacement decisions are calculated and compared to all of the above materials. The conclusion is to focus on the material suitable for the camshaft to reduce the maximum displacement and weight. Titanium materials become the best material for camshaft manufacturing based on analysis.
Manufacturing systems, in pursuit of cost, time and flexibility optimisation are becoming more and more complex, exhibiting a dynamic and nonlinear behaviour. Unpredictability is a distinct characteristic of such behaviour and effects production planning significantly. Complexity continues to be a challenge in manufacturing systems, resulting in ever-inflating costs, operational issues and increased lead times to product realisation. This challenge must be met with appropriate decision-making by manufacturing companies to secure competitive advantage without compromising sustainability. Assessing complexity realises the reduction and management of complexity sources which contribute to lowering associated engineering costs and time, improves productivity and increases profitability. Therefore, this study was undertaken to investigate the priority level and current achievement of manufacturing performance in Malaysia’s manufacturing industry and the complexity drivers on manufacturing productivity performance. The results showed that Malaysia’s manufacturing industry prioritised product quality and they managed achieved a good on-time delivery performance. However, for other manufacturing performance, there was a difference where the current achievement of manufacturing performances in Malaysia’s manufacturing industry is slightly lower than the priority given to them. The strong correlation of significant value for priority status was observed between efficient production levelling (finished goods) and finish product management while the strong correlation of significant value for current achievement was minimised the number of workstation and factory transportation system. This indicates that complexity drivers have an impact towards manufacturing performance. Consequently, it is necessary to identify complexity drivers to achieve well manufacturing performance.
The purpose of this paper is to prepare a conceptual framework of hybrid lean and ergonomics for assembly manufacturing process based. The research used PDCA approach as a basis in linking the relationship between lean manufacturing and ergonomics. Comprehensive literature review identify the lean ergonomics issues, best practices, and also the way to improve the ergonomic conditions in the workplace, especially those impacting employees on the assembly process. The findings show that the job design strategies for reducing extreme injuries influence by repetitive tasks. Selections of lean tools and technique, human factors analysis and lean performance measure are the key point on the stages of the PDCA conceptual framework for lean ergonomics in working assembly process. This paper also demonstrates by continuous improvement applied between the elimination of waste and increased productivity and the impacts on the ergonomic conditions to carry out operations and consequently by improving the productivity and well-being of its employees based on implementation of PDCA conceptual frameworks.
Amino acids are known as anabolic factors that are essential for formation of muscle by stimulating protein synthesis while inhibiting proteolysis, and they are significant component for the synthesis of various nitrogenous compounds. There are 20 amino acids are essential to require in cell for formation of body protein of which about 10 amino acids, which cannot be synthesized by the birds are termed essential. Among the essential amino acid arginine one of the essential amino acids for chickens because, like other birds, they are unable to obtain Arginine from endogenous sources due to the absence of most of the enzymes involved in the urea cycle. This amino acid involved in synthesis of proline, hydroxyl proline and polyamines which are essential for connective tissue synthesis as well as increased growth of chicken. Moreover, L-arginine (L-Arg) is effective for reducing fat deposition in broiler. Moreover, it decrease heat stress increase meat quality and increase immune response of broiler. This re-view presents the recent advances in the relevance of the inclusion of excess L-Arginine in broiler ration to growth, fat deposition and immune response in broiler.
Diverting waste material from landfill sites has a big implication for the creation of new markets and has environmental benefits through offsetting the need for the extraction of raw materials. Besides, the major attention especially in construction industry is the problem to make natural resources sustainable for three to four decades in future. However, in this study finely glass powder with pozzolanic properties is found to be a partial replacement for cement and can acts as filler in the microstructure of a mortar block. Thus, a study was conducted to see the effects of various proportions of windscreen glass waste powder (WGWP) in determining the degree of water absorption on mortar incorporated with WGWP and to determine the optimum replacement to the ordinary Portland cement (OPC) with WGWP. Several compositions of WGWP (0%, 5%, 10%, 15% and 20% by cement weight) of mortar cube sample were prepared and cured at 7, 28 and 60 days to undergo a water absorption test. From this research, it shows that the use of WGWP was found to be the best features pozzolanic enough to use as a partial replacement for cement and it can reduced the pores of mortar by blocking the large voids in the hydrated cement paste through pozzolanic reaction. In the term of water absorption, the lowest reading was achieved in 15% and it can be said that 15% replacement is the optimum replacement of OPC.
The problem of constructing such a continuous function is called data fitting. Many times, data given only at discrete points. With interpolation, we seek a function that allows us to approximate f(x) such that functional values between the original data set values may be determined. The process of finding such a polynomial is called interpolation and one of the most important approaches used are Lagrange interpolating formula. In this study, researcher determining the polynomial interpolation by using Lagrange interpolating formula. Then, a mathematical modelling was built by using MATLAB programming to determine the polynomial interpolation for a given points using the Lagrange method. The result of the study showed that the manual calculating and the MATLAB mathematical modelling will give the same answer for evaluated x and graph.
Synthetic fibers such as glass fiber and carbon fiber are traditionally used as reinforcement in engineering composites. The increasing of environmental concerns has led to the use of natural fibers as renewable alternatives reinforcement. Among them, coconut meat husk fiber which abundant availability can be used as reinforcement fiber. However, the coconut meat husk fiber, same as other natural fibers, has the issues of fiber/matrix bonding and moisture absorption. Chemical treatments are needed to modify the surface of fiber, aiming at improving the adhesion with polymer matrix and reducing the hydrophilicity of the fiber. Alkalization was used in this study to treat the coconut meat husk fiber. The effects of chemical treatments for 1hr and 24 hr treatment time on the coconut meat husk fibers reinforced composites were investigated. A result showed that the 24 hr alkali treatment gave the highest tensile stenght compared to the 1hr treatment and RO water.
Natural fiber reinforced composites are recognized as better materials for structural components due to their inherent properties. However, milling these materials presents a number of problems, such as surface delamination, which appeared during the machining process, associated with the characteristics of the material and the cutting parameters. Therefore, in this study, machining parameters and the influence of the banana fibers under delamination were investigated. Result showed that machining parameters has a significance effect on the delamination of banana fiber reinforced polyester composites.
Learning through game scene is considered a game-based learning approach. Teaching and learning process using game scene is deemed interesting and effective due to the nature for this approach which seems alive with asserted activities. Students experience their own game via narration through the virtual world they undertook. This investigation is targeted towards conceptual change and explanation for basic programming theorem through navigated game scene by evaluating motivation and student experience. 55 respondents consisted of semester three students from computer software application certification a program from a community college is selected for the undertaken study. Motivation and experience surveys are reference based on intrinsic motivation inventory instrument (IMI). Findings were tabulated based on t-test statistics and descriptive to get the frequency, mean, standard deviation and percentage. Initial results reflected student acknowledgement on utilizing game scenes in terms of elaborating basic game programming key points in providing elevated learning experience.
The purpose of this study is to compare the tensile strength between additional polystyrene into coconut meat husk reinforced fiber composite. Composite were produced by using hand layup technique. It is seen that with the additional of polystyrene into the coconut meat husk reinforced polyester composites showed the increment tensile strength value compared to the non-added polystyrene which indicates that effective stress transfer between the fiber, matrix and polystyrene.
Protease is an enzyme that catalyses the hydrolysis of peptide bond in polypeptide chain and hold a wide range of applications in industry. The aim of this study is to clone and to express several genes encoding proteases from alkalitolerant bacteria Bacillus lehensis strain G1. A total of 13 genes encoding proteases have been selected using bioinformatics approach. These genes were then amplified using polymerase chain reaction (PCR) method. Subsequently, the PCR product was cloned into cloning vector pGEM®T easy and transformed into competent cell E. coli DH5α. The transformants were further verified by sequencing. The positive cloned were subcloned into the expression vector and were then expressed in Luria Bertani medium in the present of IPTG using E. coli BL21. The expressions of recombinant proteases were optimized for several hours at different temperatures, 16-37°C. Furthermore, structural prediction was performed using Modeller v9.18 for BleG1_1940. Each generated model was verified for overall completeness and bias, using PROCHECK, ERRAT, and Verify 3D. The overall quality of the model was relatively good with percentage of Ramachandran plot is 96.3%, PROCHECK is 86.2% and ERRAT score is 95%,.