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.
Rice husk gasification developed as process that converts organic rice husk into a producer gas. The achievement is to reduce dependency on fossil fuel, reduce pollution and move into green technology. Downdraft gasifier is a reactor that can produce lower tar concentration in the producer gas. There are important objectives had been investigated which are to modify on laboratory scaled downdraft gasifier from the previous project, where suitable with the rice husk gasification system, to measure the exit temperatures in gasifier which it determine tar quantity at the output, to measure the amount of moisture removed from the rice husk where it determine the quantity of moisture in rice husk and, to measure the complete burning of rice husk in a gasifier by taking the time performing the experiments. All the objectives are to be obtaining the output which can be used as a biofuel sources. The method to achieve the objectives, firstly redesign performed using SolidWork software. Next, the temperature determined using thermocouple. Then, next objective which the rice husk drying analysis determined by drying rice husk and scale it with weighing scale. And lastly, burning was determined by using stopwatch and weighing scale with complete fabricated gasifier. The results shows the fabrication of the modification, average exits temperature of producer gas which around 203.93°C, different moisture weight of rice husk which around 10grams and, average time of completes burning of gasifier is 61 minutes and ability to capture producer gas’s flammability. This work concluded by achieves the objectives based on the results and may increase in understanding of the works related.
This research presents an improved and more effective approach for data acquisition of recirculation aquaculture system (RAS). The previous research, the system uses manual methods to take the important data from RAS and it wastes the time and also gets late response from the fish farmer if the data is not in the good condition. As a result, fog computing technology is applied to overcome all these problems and acts as advance data acquisition system to keep data safely by sharing the processed data in fog computing for every tanks and analyze the data to make an accurate control/decision in the real time. Besides, open source technology plus embedded system based will be integrated for this research because its benefits such as small size, low cost, light weight, portable, high efficiency and low power consumption. This research has achieved the objectives which are design a data collecting system for RAS, design a data processing system using fog computing and integrate, test and validate automatic data collection and processing strategy for recirculation aquaculture system (RAS). The data collecting system for RAS, RaspDAQ is developed by connecting Raspberry Pi 3 to temperature sensor (LM35DT) using analogue digital converter (ADC) MCP3002, water level sensor (HC-SR04), Rpi camera module, LEDs and buzzer. Software and program are built using Python and Apache server to run every functions of RaspDAQ. While third Raspberry Pi 3 is setup as data processing system, RaspFog using PHP, Apache and MySQL server. Both RaspDAQ and RaspFog are based on Raspbian operating system. After that, RaspDAQ1 and RaspDAQ2 are connected to RaspFog using WiFi technology to send sensors data in real time. The received data are stored and plotted using Highcharts.com graph. The data collecting system, RaspDAQ and data server and processor, RaspFog has been tested and validated. At the same time, users can see the graph output in the real time for temperature, water level sensor and real condition using Rpi camera module of RaspDAQ1 and RaspDAQ2 by browsing RaspFog website. From the observation, data has been transferred from RaspDAQ to RaspFog in a short duration which is less than 15 seconds. Consequently, the efficiency of data acquisition process has been improved from manual system to fog computing technology successfully.
Cerebral Palsy (CP) is a common neurodevelopmental condition encountered by pediatricians. The condition may present itself in many different kinds of classification. In many cases, the cause of CP may not be apparent. Cerebral Palsy is always showing many deficits such as mental retardation, speech and language and oral motor problems. This project inspired from Elisya, a nine-year-old kid that has CP since born and she have the communication problems since she cannot speak to express her opinions and desires. The main focus on this project is to help to improve the communication issues among CP children. In order to assist the people with CP, the assistive tool is required to help them to communicate or interact with people around them. Assistive technology includes equipment, devices and software solutions that increase functional capabilities of people with disabilities and improve the quality of their lives. There are several Augmentative and Alternative Communication (AAC) devices for people with Cerebral Palsy that are not able to speak. One of the ways to make this happen is to implement the AAC technology with mobile technology by developing a mobile application named as Make Me Speak and React Native technology in order to build the cross platform for this application since the application should be run on IOS and Android platform so it’s easier for other people to bring it anywhere and use it at any time. It also involves CP centres and school to do experimental studies for this project. There are several studies shows that AAC technology can help in enhancing the speech and language development and in this project, the suggested mobile application should be friendly to our language and culture of our nation, Malaysia and the project is in line with the social innovation in the Eleventh Malaysia Plan (RMK-11).
This paper presents the comparison of extraction methods between maceration extraction (ME) and ultrasonic assisted extarction (UAE) to the bioactive compounds yield (gallic acid, protocatechuic acid, epigallocatechin and rutin) of Labisia pumila. A grinded dried plant material with size ranging 246.58μm to 257.72μm was performed throughout this work. The gallic acid, protoctechuic acid, epigallocatechin and rutin qualification and quantification were performed using an ultra-performance liquid chromatography coupled photodiode array (UPLC-PDA). Exact match between the residence time from the plant extract and external standard was found indicating a presence of these four targeted bioactive compounds. It was found that UAE method has the highest extraction yield; gallic acid (0.0293 mg GA/g DW), protocatechuic acid (0.0081 mg PCA/g DW), epigallocatechin (0.0057 mg EGC/g DW) and rutin (0.0038 mg Rutin/g DW) compared to ME. The findings in this work may serve as a useful guide to obtain a highest extraction yield of these four targeted bioactive compounds from L. pumila.
This study aims to develop a year one STEM Comic for science and mathematics subjects. The STEM comic was developed based on the Technology Knowledge, Pedagogy and Content (TPACK) model. The development of this comic involves two phases which is development phase and assessment phase. However, this article only discusses the development phase of STEM comic. 13 Excellent teachers of science and mathematics from the Hulu Langat district were involved in the analysis of syllabus year one science and mathematics subjects and the preparation of scripts while the STEM comic illustrator was created by two lecturers from the Faculty of Art, Computing and Creative Industry from the Sultan Idris Education University. As a result, a STEM comic that contains 10 series for year one science and mathematics subjects has been successfully developed. This comic is expected to attract and enhance the achievement of year one students in science and mathematics. Implication of this study, STEM comic can be used by teachers as science and mathematics teaching aids.
A temperature-stable, low-power ring oscillator design for implementation in an Application-Specific Integrated Circuit (ASIC) is presented. In this work, the design uses a new arrangement of chain delay elements consisting of a current-starved inverter and a CMOS capacitor. This power consumption improvement ring oscillator design was built in the environment of 130nm CMOS process technology using Mentor Graphics environment with voltage supply 1V. The simulation results show a maximum power consumption of 1.036 nW and it shows that the presented design is applicable in low power advanced sensing systems application including biomedical, chemical, and other sensors.
Several foot deformities have been identified in Malaysian women due to wearing shoes which do not fit the size and shape of their feet. Hallux valgus (bunions), corn, cellules and ingrown toenail are among the common deformities experienced by Malaysian women. The root of this issue is that the Malaysian footwear market has adopted foreign shoe size standards such as those from the US and UK. This means that Malaysian women face difficulties in obtaining correctly-sized shoes. Therefore, the aim of this study is to develop and propose a standard shoe sizing system for women in Malaysia based on anthropometric measurements of Malaysian women’s foot sizes and shapes. Women from Malaysia’s primary ethnic groups (Malay, Chinese, and Indian) aged 20 to 60 years old participated in this project, where the anthropometric measurements for their foot size and shapes were obtained using a 3D foot scanner. Regression analysis in the form of Generalized Linear Model (GLM) was performed to determine the association between a few attributes including foot measurements and the existence of the foot deformities. Foot length and Ball girth circumference have significant association with the foot deformities (FL: p = .028 and BG: p = .045). The new standard shoe sizing system has been developed ith more accurate sizes and shapes, it is hoped that the foot deformities problem could be solved or at least reduced the foot pain.
Cement production is a major environmental problem that causes the release of carbon dioxide into the atmosphere. This study attempts to sustainably use palm oil fuel ash (POFA) and eggshell powder (ESP) as partial replacements for Ordinary Portland cement (OPC) in concrete production. POFA and ESP are two wastes that need to be managed to reduce their detrimental environmental effects. As such compressive and slump tests were conducted on POFA-ESP-OPC concrete mixtures by replacing 10% of OPC with POFA-ESP. Two mediums of curing were used: tap water and river water. It was found that the compressive strength and slump resistance of these mixtures were within the ranges typically encountered in regular concrete mixtures indicating the viability of this procedure employed for structural applications.
In the oil and gas industry, pipeline is the major transportation medium to deliver the products. According to [1] containment of pipeline loss to indicate that corrosion has been found to be the most predominant cause for failures of buried metal pipes. MIC has been identified as one of the major causes of underground pipeline corrosion failure and Sulphate Reducing Bacteria (SRB) are the main reason causing MIC, by accelerating corrosion rate. The objectives of this study is to study the SRB growth, Desulfovibrio desulfuricans ATCC 7757 due to pH and determine the optimum value controlling the bacteria growth on the internal pipe of carbon steel grade API X70. The result shows that the optimum SRB growth is at range pH 5-5 to 6.5 and the exposure time of 7 to 14 days. At pH 6.5 the maximum corrosion rate is 1.056 mm/year. Corrosion phenomena on carbon steel in the study proven had influence by pH and time. From this result pitting corrosion strongly attack at carbon steel pipe. In the future project, it is recommended to study the effect of different pipe location for example the pipeline under seawater.
Nowadays in construction development, the needs of construction materials that have a unique reinforced concrete design with good quality, reasonable market price, and easy installation techniques has been prioritized. Therefore, this study aimed to produce an alternative new construction material that can fulfill the requirements. The U-shaped composite spacer block (UCop) through the production of Cement Bonded Particle Board (CBPB) as a specimen block was produced from the wood waste of carpentry work combined with Shorea spp. (Seraya red and white) particle size approximately 0.4mm - 2.00 mm. Then it was mixed together with Portland cement by using a ratio 1:2.5. The mixture was then added with Ammonia Chloride (Al2SO4) and Calcium Chloride (CaCl2) act as additives for this product. The physical and mechanical tests were conducted in this study. The results were showed that the thickness expansion was achieved an average of 1.79 %, which was passed the minimum requirement of MS934:1986 standards. However, the flexural strength did not meet the minimum standards. The poor mixing technique was attributed to the results. However, UCop still could contribute as an alternative solution in ease the concrete pouring process using a special binder, giving the spacer block any resistance to formwork of columns or beams is filled with concrete. The high-impact innovations of this product in construction such as it can help the process to be more efficient and to reduce construction costs, next indirectly preserve the nature.