289 research outputs found

    Aquaponic biofilter system using heliconia sp. for ammonia removal in lake

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    Lakes are considered as one of the natural water resources in Malaysia. The quick pace of development around many lakes catchment areas has a significant impact on water quality. Consequently, biofilter aquaponic system for ammoniacal nitrogen removal in lake near non-point sources such as oil palm plantation, factory and educational building were studied. Aquaponic is a system that mutually integrates aquaculture and plant cultivation. Aquaponic biofilter system also applies phytoremediation mechanism to reduce nutrient. Therefore, phytoremediation of lake water in Tasik Teknologi in campus area of Universiti Tun Hussein Onn Malaysia (UTHM) was performed in 7 days by using Heliconia sp. as phytoremediate plant. This study was conducted in a greenhouse experiment to control the environments conditions (with different temperature and photoperiod), which consists of five hydroponic tanks, and one fish culture tank with the 40 watt of water pump was run circulation of water. A physicochemical characteristic of Tasik Teknologi was compared to Interim National Water Quality Standard Malaysia (NWQSM) after phytoremediation. Heliconia sp. after phytoremediation was undergoes analysis for plant nutrients by using Ion Chromatography (IC) in three major parts; leaves, roots and stem. The result shows that Tasik Teknologi has mean values of AN (3.95 mg/L), NO2 (0.12 mg/L), NO3 (1.36 mg/L), BOD (105.70 mg/L), COD (10.30 mg/L), TSS (19.70 mg/L), Turbidity (12.30 mg/L), temperature (28.80oC), DO (9.40 mg/L) and pH (6.51), respectively. Phytoremediation has reduced AN and NO3 from the lake water sample by Heliconia sp. with 66.00% and 92.03% removal efficiency, respectively. Besides that, the concentration of DO during phytoremediation was increased 47.82 % from 2.4 mg/L to 4.6 mg/L. Furthermore, the uptake of AN in three major parts of Heliconia sp. leaves, stem and root were found to be 4.40 %, 1.12% and 4.20%, respectively. The Heliconia sp. has the ability in reducing AN and NO3 in lake water with efficiently and practically

    THE EFFECTIVENESS OF FACEBOOK ADVERTISEMENT IN INTERNET MARKETING

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    The main purpose of this research is to explore and to understand systems of homebased businesses, the effectiveness ofFacebook Advertisement in internet marketing and execute a project to market AI-Quran Read Pen and any products by using Facebook as the medium of classifieds. Research method uses in this project are qualitative and quantitative. Attend seminar and interview with successful internet entrepreneur are qualitative method while make online survey with multiple choice question is quantitative method. Furthermore, this research also gathers from primary and secondary methods. For primary method, the authors will gather the data from questionnaire, interviews, surveys, observation and testing while for secondary method the authors will gather the data from existing sources such as journals, eBooks, video, and reading case study or blueprint of successful internet entrepreneur. Finally the results will be recorded and the authors will write the strategy to launch and prove the effectiveness ofFacebook Advertisement in internet marketing

    C02 Solubility In Aqueous Solution Of 2-Amino-2ethyl-1,3-propanediol (AEPD) and Piperazine (Pz)

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    Most of the power plants are using conventional alkanolarnine such as monoethanolamine (MEA), diethanolamine (DEA) and N-Methyldiethanolarnine (MDEA) to adsorb C02 for CCS.2 -6 However, these conventional alkanolamine had some disadvantages and not efficient. 9 With the emerging research of sterically hindered amines (SHA)7 such as -amino-2ethyl-1,3-propanediol (AEPD) and the usage of activator such as Piperazine (Pz/ being introduced to the industry, the alkanolarnine used for CCS can be change and the process can be more efficient. Main objective of this project is to measure the C02 solubility in aqueous solution of AEPD and Pz Solution. The effects of initial pressure and concentration of aqueous solution of AEPD and Pz towards C02 solubility are also studied. The solubility experiment is conducted using High Pressure Gas Solubility Cell. For this experiment, concentration of AEPD used are 1.0 mol, 2.0 mol and 3.0 mol. Each of the different concentration of AEPD will be mixed with Pz with concentration of 0.1 mol, 0.2 mol and 0.3 mol. the mixture of the AEPD and Pz will be in volume ratio of 3: I. All of the experiments are conducted in constant temperature which is 30°C. Different initial pressure of 5 bar2, I 0 bars, and I 5 bars are also used for each sample. The solubility of C02 is determined in terms of C02 loading per mole of amine used. Three of the highest C02 solubility achieved is 2.4714, 2.3989 and 2.1560 at amine mixture concentration of 1.1 mole, 1.2 mole and 1.3 mole respectively at initial pressure of I 5 bars. Meanwhile, three of the lowest C02 solubility achieved is 0.3964, 0.4280 and 0.4421 at amine mixture concentration of 3.1 mole, 2.1 mole and 3.3 mole at initial pressure of 5 bars. In addition, as the initial pressure for adsorption process is increased, the rate of C02 adsorption will increase and the time taken for the adsorption process to reach equilibrium will be faster. As the concentration of AEPD increases, the C02 loading will decrease. However, the trend of C02 loading for different concentration of Pz could not be determine as there is no significant changes and trend when the Pz concentration is varied

    Materials takeoff in building information modeling

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    Appropriate cost estimation, monitoring and controlling are the key point of construction project td succeed. 2D drawing has been a normal source of information and procedure since 1970's. The drawback of drawing based estimating however is its nature where it has limited information that is required by the estimators. In addition, it also requires manual estimation and thus introduces inaccuracy and error in measurement. The source of inaccuracy and error comes from the estimator that needs to review many sheets of drawing for extracting building component and quantification measurement to perform materials takeoff. Therefore, more time is needed to establish unit measurement of the building component. Material takeoff in Building Information Modeling (BIM) is performing takeoff, counts and measurement of building components quantification by using parametric underlying 3D model instead of using conventional method for conducted manual materials takeoff for cost estimation. By performing takeoff, count and measurement by using parametric model instead of conventional method, all possible problems due to miscalculation and human error can be minimized. Besides that, by using BIM model based approach on estimating and materials takeoff, takeoff, count and measurement for quantification can be done quickly and more accurately. The scope of this is study is to perform takeoff, count and measurement by using BIM 3D parametric Architecture Model. The aim of this study is to explore the BIM model based approach on estimating and materials takeoffs. Research method that been used in this study is extracted all building component information about measurement, count and takeoff by using Revit Suite 2014 software as an input for conducting cost estimation. Finally, all the quantification takeoff extracted from parametric model is used for performing cost estimation of the architecture components of this bungalow construction. All the cost estimation is calculated by using Excel data sheet that have been developed by researcher. By using this BIM model approach, researcher believe that it will helps construction project teams for better project coordination in the coming years

    Tidal energy generation using the double-emptying system scheme

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    This paper presents the electrical power generation by using the tidal lagoon system. In general, using tidal concept, water will flow into the dam in one direction, and then water will be forced to be released back into the sea via the low-head one-way generator. In some cases, there is a two-way power generation where power is generated when water from the sea flowing into the dam and one more generation when power is released back into the sea via two different generators. However, in this paper, a new scheme of tidal generation namely Double-Emptying System is proposed where the power can be generated during in flow and out flow, but, by using just one low-head one-way turbine only. The operation of this scheme is explained in detail in the paper. Analysis regarding the potential power production is then executed on the best location in Malaysia; Port Klang. Findings show that by using the proposed technique, the maximum potential mean power can be generated in March whereas the minimum in June, with 9.8926 MW and 6.151 MW, respectively

    Bayesian methods for time series with mixed and mixture distributions with an application to daily rainfall data

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    PhD ThesisA mixture model can be used to represent two or more sub-populations. A special case is when one of the sub-populations has a degenerate (or discrete) distribution, and another has a continuous distribution. This leads to a mixed distribution. For example, daily rainfall data contain zero and positive values. This can be represented using two processes: an amount process and an occurrence process. This thesis is concerned with Bayesian time series models for non-independent mixturedistributed data, especially in the case of mixed distributions. Particular attention is given to the relationship between the occurrence and amount processes. The main application in the thesis is to daily rainfall data from weather stations in Italy and the United Kingdom. Firstly, the models for univariate rainfall series are developed. These are then extended to multivariate models by developing spatiotemporal models for rainfall at several sites, giving attention to how the spatiotemporal dependencies affect both the occurrence and amount processes. For the case of the British data, the models involve dependence on the Lamb weather types. Seasonal effects are included for all models. Posterior distributions of model parameters are computed using Markov chain Monte Carlo (MCMC) methods.Ministry of Higher Education (Malaysia) and Islamic Science University of Malaysia (USIM)

    Designing and Developing an Intelligent Congkak

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    Congkak is the nation's traditional game which could soon be forgotten if no serious attention is given to it, but literature survey has not yet found any research publication that mentioned the use of neural network algorithm (NN) on Congkak. Therefore the project want to try to rectify this issue by trying to develop an Intelligent Congkak System that also implemented NN and try answer research question such as this: “What is the best Congkak evaluation function for training NN for game playing?” and “Can Min-Max algorithm (MM) be speeded up by using NN as a forward-pruning method?”. This issues can solved by programming the Congkak system based on previous work on Mancala and NN system, and then recording the performance of the related algorithm. As a result: the project had created a Congkak system that had featured 3 Artificial Intelligence (AI) agent, and discovered that the combination of NN and MM is slower than MM alone

    A Comparative Study On Time-Frequency Distribution Techniques For Battery Parameters Estimation System

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    Due to the degradation in battery lifetime directly impacts by load performance, reliability and safety operation of the battery cannot be guaranteed. In turn, safety precautions can be taken by monitoring battery performance from charging/discharging signals behaviour. Analyse the battery charging/discharging signals become challenging as the signal characteristic appears at very low frequency. Therefore, fast and accurate analysis in estimating battery parameters for real-time monitoring system should be proposed and developed. This research presents analysis of the battery charging/discharging signals using a spectral analysis technique, namely periodogram and time-frequency distributions (TFDs) which are spectrogram and S-transform techniques. The analysed batteries are lead acid (LA), nickel-metal hydride (Ni-MH) and lithium-ion (Li-ion). From the equivalent circuit model (ECM) simulated using MATLAB, constant charging/discharging signals are presented, jointly, in time-frequency representation (TFR). From the TFR, battery signal characteristics are determined from the estimated parameters of instantaneous of total voltage (VTOT (t)), instantaneous of average voltage (VAVG (t)) and instantaneous of ripple factor voltage (VRF (t)). Hence, an equation for battery remaining capacity as a function of estimated parameter of VRF (t) using curve fitting tool is presented. In developing a real time automated battery parameters estimation system, best TFD is chosen in terms of accuracy of battery parameters, computational complexity in signal processing and memory size. Advantages in high accuracy for battery parameters estimation and low in memory size requirement makes S-transform technique is selected to be the best TFD. The accuracy of the system is verified with parameters estimation using ECM for each type of battery at a different capacity. The field testing results show that average mean absolute percentage error (MAPE) is around four percent. Thus, implementation of S-transform technique for real-time automated battery parameters estimation system is very appropriate for battery signal analysis

    Pengaruh Komitmen Organisasi dan Kepuasan Kerja terhadap Kinerja Karyawan BPJS Kesehatan Cabang Langsa

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    The study aimed to determine the eff ect of organizational commitment and job satisfaction on the performance of Langsa Health BPJS employees. The population in this study were permanent employees at the Langsa Health BPJS, which numbered 31 respondents. The sampling technique used in this study is non probability sampling using saturated sampling. The method of data analysis uses multiple linear regression equations with the help of SPSS software carried out t test, F test and the coeffi cient of determination. The results of multiple linear regression obtained by the equation Y = 1,098 + 0,260X1 + 0,290X2. To prove the hypothesis partially carried out t test for each variable, where the organizational commitment variable obtained t sig <5% (0.03 <0.05) so that it can be stated that organizational commitment has a signifi cant eff ect on the performance of BPJS health employees in Langsa City. Job satisfaction variables obtained t sig <5% (0.04 <0.05) so that it can be stated that job satisfaction has a signifi cant eff ect on the performance of BPJS health employees in Langsa City. And to prove the hypothesis simultaneously the F test is carried out, so that F sig <5% (0.00 <0.05) can be stated that organizational commitment and job satisfaction simultaneously have a significant eff ect on the performance of BPJS employees in Langsa City. As well as the determination coefficient test results obtained by 33.4% organizational commitment and job satisfaction affect the performance of health workers BPJS Langsa City
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