Showing papers in "Journal of Fundamental and Applied Sciences in 2018"
TL;DR: The results demonstrated the ability of the model to predict Bitcoin prices accurately while passing all model validation tests.
Abstract: This paper presents a Multi-Layer Perceptron (MLP)-based Non-Linear Autoregressive with Exogeneous Inputs (NARX) Bitcoin price forecasting model using the opening, closing, minimum and maximum past prices together with Moving Average (MA) technical indicators. As there were many parameter combinations to be tested, a Particle Swarm Optimization (PSO)-based method was used to optimize the number of hidden units, input lag and output lag of the NARX model. The results demonstrated the ability of the model to predict Bitcoin prices accurately while passing all model validation tests
72 citations
TL;DR: In this paper, the authors investigate students' acceptance of e-learning in university using modified TAM model consisting of six constructs namely instructor characteristics, computer self-efficacy, course design, perceived usefulness, perceived ease of use and intention to use.
Abstract: E-learning is regarded as a mandatory teaching and learning approach in higher education worldwide. Despite its importance and popularity, several issues on its use and effectiveness still remain. Universities are facing problems oflow e-learning usage among students and even academic staffs. This study investigate students’ acceptance of e-learning in university using modified TAM model consists of six constructs namely instructor characteristics, computer self-efficacy, course design, perceived usefulness, perceived ease of use and intention to use. Data were collected with 95 undergraduate students at Tunku Abdul Rahman University College (TARUC), Johor. Structural Equation Modeling (SEM) was used to analyze the data. Results shown that computer self-efficacyhas significantly effects ease of use, while perceived ease of use significantly affectsintention to use e-learning.
66 citations
TL;DR: In this paper, the authors investigated the relationship between HALAL awareness, marketing and religiosity that are postulated to influence customers' intention to purchase HALAL certified consumer products and found that religiosity is the most influential factors in motivating customers' to purchase Halal certified products.
Abstract: The purpose of this study isto investigate the relationship between HALAL awareness, marketing and religiosity that are postulated to influence customers’ intention to purchase HALAL certified consumer products. Customers’ who visited SABASUN Hypermarket Sdn. Bhd. in Kuala Terengganu were selected as respondents. Questionnaires were used as the research instrument. The findings revealed there are positive relationship between the HALAL awareness and religiosity toward customers’ intention to purchase HALAL certified consumer products. The results also demonstrated that religiosity is the most influential factors in motivating customers’ to purchase HALAL certified products. For future study should consider demographic background as a moderating factor the can regulate the effect on factors influencing customers’ intention to purchase Halal certified consumer products.
44 citations
Journal Article•
TL;DR: In this paper, the authors presented a study of neutrosophic shortest path with interval valued neutrosphic number on a network and gave the shortest path length using ranking function from source node to destination node.
Abstract: This paper presents a study of neutrosophic shortest path with interval valued neutrosophic number on a network. A proposed algorithm also gives the shortest path length using ranking function from source node to destination node. Here each arc length is assigned to interval valued neutrosophic number. Finally, a numerical example has been provided for illustrating the proposed approach
43 citations
TL;DR: It is proved that Mel Frequency Cepstrum Coefficient (MFCC) feature generates from audio signal of infant cry could be used as input feature for the Convolution Neural Network (CNN).
Abstract: Deep Learning Neural Network (DLNN), is a new branch of machine learning with the ability for complex feature representation compared to traditional 4th-generation neural networks. Although it was mainly suited for image feature (since it was inspired by object recognition method of mammalian visual system), if any type of feature can be translate into image, other type of data could be fit for using DLNN. In this paper, we prove that Mel Frequency Cepstrum Coefficient (MFCC) feature generates from audio signal of infant cry could be used as input feature for the Convolution Neural Network (CNN). The result shows CNN can be used to classify between normal and pathological (asphyxiated) cry with 94.3% accuracy in training set and 92.8% accuracy in testing set.
31 citations
TL;DR: In this article, a study on color features that are color histogram, color moment and color correlogram was conducted for the palm oil FFB grading identification, and a new dataset of images of FFB was constructed.
Abstract: This research investigates the ripeness grading identification of the palm oil FFB using color features that are color histogram, color moment and color correlogram. Palm oil is harvested during the optimum stage of its ripeness since it improves the FFB oil quality and quantity. Harvesting wrong bunches decreases the oil extraction rate of the palm. A preliminary research on the palm oil FFB grading identification is conducted. Each ripeness stage has its own unique color. A study on color features is investigated. A new dataset of images of FFB is constructed. A comparative study between Support Vector Machine (SVM) and Naive Bayes classifiers has been performed using the values of color histogram, color moment and color correlogram. The results of the experiments indicate that color moment with SVM produce a higher palm oil FFB ripeness grading identification accuracy compared to color histogram and color correlogram.
22 citations
TL;DR: In this article, the main ways of electricity consumption reduction at pumping stations: the use of low-pressure sprinklers, the optimization of pumping unit operating mode, the usage of low pressure and variable aggregates, the regulation of a unit water consumption for simultaneous completion of watering by a group of machines, etc.
Abstract: The determined the main ways of electricity consumption reduction at pumping stations: the use of low-pressure sprinklers; the optimization of pumping unit operating mode; the use of low-pressure and variable aggregates; the regulation of a unit water consumption for simultaneous completion of watering by a group of machines, etc. They justified modernization of the low-pressure sprinkler "Fregat", which regulates water consumption and increases the reliability of its operation. They showed the effectiveness of low-pressure sprinkler machines "Fregat" introduction during their individual and group operation with the pump units of various types operating in the optimal and correct mode. Keywords : sprinkler "Fregat", low pressure, modernization, pump unit, power consumption of watering, water flow, productivity.
21 citations
TL;DR: In this article, the authors proposed and validated games acceptance framework with six factors, Learning Expectancy, Effort Expectancy and Attitude and Enjoyment, to understand the factors that contribute to student acceptance of educational games.
Abstract: Studies of educational games (EG) are rapidly growing in recent years due to its promising potential for education. New generation are highly engaged with games technology resulted with many games produced from industry or research. Despite that, student acceptances on games are still low due to issues from both student and games side including effectiveness, matching with syllabus as well as games design. Therefore, it is crucial to understand the factors that contribute to student acceptance of EG in order to produce a better game.This study proposed and validated games acceptance framework with six factors. Data was collected with 180 university students and analyze using descriptive and inferential analysis. Learning Expectancy, Effort Expectancy, Attitude and Enjoyment were found significant. Games designers can leverage the issues concern with students in developing better games.
20 citations
TL;DR: All the issues of cloud computing and future work directions have been discussed and several access control models have been identified based on attribute-based encryption.
Abstract: Cloud computing is a new paradigm of Information Technology (IT), which allows users to access software, hardware and data from the cloud server. Cloud computing provides many services to the users. Nowadays, access control and security are two most critical problems with cloud computing. Access control can be defined as a procedure by which users can access data from the cloud server. At the time of accessing data, there are many problems, such as data security, high data accessing time, data loss, overhead, data redundancy, etc. Several access control models have been already developed based on attribute-based encryption. In the first part of this paper, a brief discussion of fundamentals of cloud computing are presented. Moreover, all the issues of cloud computing are also discussed in this paper. Finally, future work directions have been identified for the cloud computing environment. Keywords : Cloud Computing, Cloud Service Provider, Data Owner, Access Control, Encryption.
20 citations
TL;DR: In this article, a linear Fresnel reflector solar with trapezoidal cavity was used for heating the tap water, achieving a thermal efficiency of 29.21% at a maximum temperature of 79 °C.
Abstract: This work presents a design and an experimental study of a linear Fresnel reflector solar with trapezoidal cavity. This prototype is used for heating the tap water. The reflector was designed, constructed and tested in mechanical engineering department, University of Blida 1, Algeria. Various combinations of reflecting mirrors were tried to achieve hot temperature at the concentration line. The absorber tube was made of copper; it was painted with black paint and covered by selective suitable surface. The quantity of heat available to the absorber tubes was evaluated and compared with 7, 9 and 11 mirrors. The experimental works on the concentrator were accomplished within two days in the winter of 2015. Water temperature reached a maximum of 79 °C. The maximum value of the thermal efficiency is 29.21%. The results obtained are very encouraging for using linear Fresnel concentrator in the solar fields allocated to the domestics and industrial water-heaters.
20 citations
TL;DR: The results of the study show that the proposed Rough Set classification model outperforms the existing models and contributes to significant accuracy improvement.
Abstract: Customer care plays an important role in a company especially in managing churn for Telecommunication Company. Churn is perceived as the behaviour of a customer to leave or to terminate a service. This behaviour causes the loss of profit to companies because acquiring new customer requires higher investment compared to retaining existing ones. Thus, it is necessary to consider an efficient classification model to reduce the rate of churn. Hence, the purpose of this paper is to propose a new classification model based on the Rough Set Theory to classify customer churn. The results of the study show that the proposed Rough Set classification model outperforms the existing models and contributes to significant accuracy improvement. Keywords : customer churn; classification model; telecommunication industry; data mining; rough set.
TL;DR: In this paper, the possibilities of normal watering increase to runoff during the watering by sprinkling machines by improving the technological parameters of rain, such as mean and instant rain intensity, an average droplet diameter, their drop rate and rain power.
Abstract: They determined the possibilities of normal watering increase to runoff during the watering by sprinkling machines by improving the technological parameters of rain. The closest correlation of the normal watering to runoff has is represented by mean and instant rain intensity, an average droplet diameter, their drop rate and rain power. Advanced devices for surface watering (DSW) were developed for the farm sprinklers which allow to increase the width of watering area, to reduce an average rain intensity, and adjust a sprinkler height above the soil surface as the agricultural plants grow. They developed a sprinkler nozzle with the "reverse cone" deflector, which forms a small-drop rain. The use of developed DSW and sprinklers on "Kuban-LK" sprinkler reduces the energy impact of rain on soil, improves the uniformity of watering in the wind, reduces water losses due to evaporation and demolition, and increases the irrigation rate to runoff. Keywords : sprinkler, rain intensity, droplet size, near-surface watering, uniformity, evaporation and demolition losses, irrigation rate to runoff
TL;DR: This paper is aimed to detect the heart abnormality by using multilayer perceptron (MLP) network by using several data from the electrocardiogram (ECG) signal to be set as the input parameters.
Abstract: This paper is aimed to detect the heart abnormality by using multilayer perceptron (MLP) network. Several data from the electrocardiogram (ECG) signal is extracted to be set as the input parameters. In order to get the best result, several activation function are used, such as unipolar sigmoid, bipolar sigmoid, tangent hyperbolic and conic section function. The result obtained is then compared among the activation function techniques.
TL;DR: The paper considers the issue of increasing the reliability of the borehole telemetry information and suggests the code of nonpositional residue number system instead of a traditionally used positional number notation to code the information.
Abstract: The paper considers the issue of increasing the reliability of the borehole telemetry information. The issue is suggested to be solved by applying the code of nonpositional residue number system instead of a traditionally used positional number notation to code the information. The residue number system is shown to have the best error-correcting capacities and is able both to detect the errors and correct them. Keywords: oil wells; telemetry information, coding, residue number system, error-correcting capacities, error detection, error correction
TL;DR: The suitability and the applicability of artificial neural networks for rain prediction based on temperature, pressure and humidity, and multilayered perceptron network with two different learning algorithms are determined.
Abstract: Artificial neural networks which are inspired by the concept of the biological neurons are commonly used in many applications including in the field of weather forecasting. The neural networks approaches have provided an educated solution to aid in the decision-making process for weather forecasting as well as a viable means of the prediction of raindrop. This paper attempts to determine the suitability and the applicability of artificial neural networks for rain prediction based on temperature, pressure and humidity. Those conditions have been used as input data and solution was classified as percentage of raining. Multilayer perceptron network with two different learning algorithms have been studied. The multilayered perceptron trained using Lavenberg Marquardt algorithm has been proven to produce better results with accuracy percentage (99.75%) as compared to back propagation (94.57%).
TL;DR: In this paper, the authors reviewed the applications of AR in automotive industry especially in inspection and maintenance process and showed that the need to shorten production time, improve efficiency and save cost allows advance technology being used.
Abstract: This paper reviews the applications of Augmented Reality (AR) in automotive industry especially in inspection and maintenance process. AR is now a major part in automotive industry and was amongst the first to use the technology. The need to shorten production time, improve efficiency and save cost allows advance technology being used. Works related to applications of AR for inspection and maintenance of automotive industry are critically reviewed in this paper Keywords: Augmented Reality, Automotive, Inspection, Maintenance, Process
TL;DR: Serum levels of pepsinogens, gastrin-17, and Helicobacter pylori antibodies in patients with dyspepsia and precancerous lesions were studied and showed that low pepinogen I levels and small pepsInogen I to peps inogen II ratios were useful markers for identifying precancersous lesions.
Abstract: Islamic knowledge is gathered through the understanding the Al-Quran. It requires ontology which can capture the knowledge and present it in a machine readable structured. However, current ontology approaches is irrelevant and inaccuracy in producing true concepts of Al-Quran knowledge, because it used traditional methods that only define the concepts of knowledge without connecting to a related theme of knowledge. The themes of knowledge are important to provide true meaning and explanation of Al-Quran knowledge classification. The main aims of this paper are to demonstrate the development of ontology Al-Quran and method used for searching the Al-Quran knowledge using the semantic search approach. Expert review has been applied to validate the ontology model and evaluate the relevance and precision of searching results. Keywords: Al-Quran ontology; knowledge retrieval; knowledge representation; semantic web; RDF/OWL
TL;DR: In this paper, a study archived data from the Kenyir Lake using spatial interpolation of inverse distance weighting (IDW), which incorporates output from a process-based regression model.
Abstract: Spatial interpolation method of water quality evaluation are frequently used to estimate valuation Kenyir Lake profiling used regression analysis and Geographic Information System (GIS) to assess a few of the water quality classification at Kenyir Lake. The purpose is to investigate the relative performance of different interpolation methods in surface waters. The study archived data from the Kenyir Lake using spatial interpolation of inverse distance weighting (IDW), which incorporates output from a process-based regression model. Interpolation were performed on temperature, total suspended solid (TSS) and turbidity (TUR) based on in-situ and ex-situ analyses according to the correlation matrix and linear regression at 14 different depths for the Chomor River and Mahadir Island. The result showed outlet significantly decreased over depth caused the water quality deterioration of Kenyir Lake development.
TL;DR: In this paper, the authors presented the efficiencies study of a linear solar concentrator of a parabolic trough type, which was conducted on the device in Guemar area, this region is located in the state of El-Oued, which it is found in the south-east of Algeria.
Abstract: The solar power is a clean and a durable energy; there are several techniques for using them. When necessary to elevated temperatures of heat transfer fluid, this energy must concentration. This paper presents the efficiencies study of a linear solar concentrator of a parabolic trough type. This study was conducted on the device in Guemar area, this region is located in the state of El-Oued, which it is found in the south-east of Algeria. Six typical days were selected to conduct the study in them. The solar collector has been studied optically and thermally. The optical study was using SolTrace. Matlab was used as device of programmation to solve the non-linear system of mathematical equations. The method of finite differences in the implicit case was used as way of solution. The thermal efficiencies of the concentrator are very acceptable, it have exceeded 82 %.
TL;DR: In this paper, the authors used principal component analysis, hierarchical agglomerative cluster analysis and discriminant analysis to classify archers into two groups: high performance group and low performance group.
Abstract: The current study explores the most significant psychological skills needed for the accomplishment of high archery scores and determines the discriminating psychological coping skills needed for archery performance. 32 archers completed psychological coping skills inventory before their shooting tests. Multivariate techniques of principal component analysis, hierarchical agglomerative cluster analysis and discriminant analysis were applied. The rotated PCA indicates 3 parameters containing 6 and 3 principal components (Pcs). The first Pcs reveal high loadings from three psychological skills. The second Pcs disclose high loadings from two skills, while the third Pcs demonstrate a high loading from only one skill. HACA classified the archers into two classes viz. High-performance group and low performance group. DA discriminates the classes with an excellent accuracy of 93.55%. Keywords: archery; pattern recognition; psychological coping skills; multivariate analysis
TL;DR: In this paper, the authors defined aggregation operators for bipolar-valued hesitant fuzzy sets and solved a decision-making problem on these operations, and also defined hybrid aggregation operators and their generalized forms.
Abstract: In this article we define some aggregation operators for bipolar-valued hesitant fuzzy sets. These operations include bipolar-valued hesitant fuzzy ordered weighted averaging (BPVHFOWA) operator, bipolar-valued hesitant fuzzy ordered weighted geometric (BPVHFOWG) operator and their generalized forms. We also define hybrid aggregation operators and their generalized forms and solved a decision-making problem on these operations.
TL;DR: In this article, the authors adopt a descriptive-analytical approach to review and explain the semantic elements of light and color, their application and conceptual features in the historical architecture and hence examine these two distinct elements in the art and architecture of the past and try to find their semantic features to the extent that have influenced the face and essence of modern architecture in the hope of providing useful insights for the modern architecture.
Abstract: Today, diverse ideologies, thoughts, and beliefs exist in the world all of which try to transfer concepts and ideas to others using the indirect language of semantics. In this regard, architecture, especially the valuable architecture of Iran with wide application and permanent presence in human life has gained considerable attention. Iranian art has always been in coordination with the spirit of Islam and an indicator of its truth. Architecture is where meaning is represented in the formal, structural, and spatial aspects. Light and color are two important visual elements of formation and cognition of architectural works. Color does not manifest by itself unless it is seen through a design, when becomes the origin of work and intervenes in its sense of space. It should be considered that how the existence of light and color in the patterns has been effective in the environmental psychology and how the space is defined in terms of these two elements? And whether the sole use of light and color in the historical architecture was to represent meaning? The present study adopts a descriptive-analytical approach to review and explain the semantic elements of light and color, their application and conceptual features in the historical architecture and hence examines these two distinct elements in the art and architecture of the past and tries to find their semantic features to the extent that have influenced the face and essence of modern architecture in the hope of providing useful insights for the modern architecture.
TL;DR: It is concluded that a good metric for measuring performance for supply chain risk must contain seven indicators that are cost, quality, flexibility, customer satisfaction, capacity, time and consistency.
Abstract: The aim of this study is to consider the purposes, weakness and qualities of good performance measures and also to briefly explain various approaches and frameworks for supply chain performance for risk management and propose a new metric that measures overall performance for supply chain risk management. This is a conceptual paper, a content analysis approach have been operationalized for the literature review. This study concludes that a good metric for measuring performance for supply chain risk must contain seven indicators that are cost, quality, flexibility, customer satisfaction, capacity, time and consistency. This study will help managers to understand what they should consider, while developing key performance indicators. In addition, for future study empirical and theoretical support is required.
TL;DR: In this article, the authors focused on the creation of flood risk index in the study area based on secondary data derived from the Department of Drainage and Irrigation (DID) since 1982-2012.
Abstract: This study focus on the creation of flood risk index in the study area based on secondary data derived from the Department of Drainage and Irrigation (DID) since 1982-2012. Based on the result, it shows that the water level is the best variable to be taken for the purposed of flood warning alert system as the result for correlation coefficient was 1.000. The risk index has been created from the control limit value with range from 0-100. Result showed that 16.63% out of total result being classified as High Risk class for flood with risk index range from 70 and above. The accuracy of prediction of risk index being clarified by using ANN method and result obtained was 0.9936798 and the lowest RMSE of 0.662591 on the three hidden nodes to achieve an optimal result. The future prediction for UCL for water level in the river basin was 3.6 meter. Keywords: flood risk index; PCA; SPC; artificial neural network; future prediction
TL;DR: In this article, the effect of processing and extraction method on chemical profiles and antioxidant activity of Malaysian stingless bee propolis was investigated, and Fourier Transform Infrared (FTIR) analysis showed that extraction methods significantly affect chemical profiles.
Abstract: This paper investigates the effect of processing and extraction method on chemical profiles and antioxidant activity of Malaysian stingless bee propolis. High Performance Thin Layer Chromatography (HPTLC) analysis in combination with chemometric shows that some of the compounds were degraded or not detected in processed sample, but the profiles were not affected by extraction method. Fourier Transform Infrared (FTIR) analysis shows that extraction methods significantly affect chemical profiles. Total phenolic content (TPC) and antioxidant activity were in agreement with HPTLC analysis, where unprocessed propolis possesses significantly higher TPC and antioxidant activity regardless of extraction method. This finding shows that metabolite profiling is a useful tool in assessing the quality of propolis. Keywords: propolis; Heterotrigona itama ; chemometric
TL;DR: In this paper, the authors implemented the statistical analysis to establish the association between air pollution trends with the industrial activities in Shah Alam, Selangor, Malaysia, and concluded that pollution in SHA was due to high combustion and emission from vehicles.
Abstract: This study implements the statistical analysis to establish the association between air pollution trends with the industrial activities in Shah Alam, Selangor. PCA used to identify most significant parameters contributing to air pollution and it sources of pollutions, whereas SPC used to determine the pattern and contribution each of most significant pollutants in the study area and Spearman Correlation used to determine the relationship between air pollutants and meteorological factors. The result identified the major possible sources of air pollution were 38.3% and 32.46% of total variance. The patterns for most significant parameters mostly exceeding RMAAQG from 2009 to 2011 and has improved starting 2012. It also found correlation between air pollutants and meteorological was significantly low Thus, it concluded that pollution in Shah Alam was due to high combustion and emission from vehicles.
TL;DR: In this article, a parametric research simulated different louver conditions performance under given climate and showed that there are meaningful optimum parameters which may help for better thermal performance through louvers in hot and dry climate of Tehran.
Abstract: This article describes a parametric research simulated different louver conditions performance under given climate. The DIVA (Design, Iterate, Validate and Adapt) plug-in for Rhinoceros/Grasshopper software is used as the main tool, given its ability to effectively calculate daylight metrics (using the Radiance/Daysim engine) and energy consumption (using the EnergyPlus engine). The optimization process is carried out parametrically controlling the shadings’ geometries. Genetic Algorithms (GA) embedded in the evolutionary solver Octopus is adopted in order to achieve close to optimum results by controlling iteration parameters. The results of the paper show that there are meaningful optimum parameters which may help for better thermal performance through louvers in hot and dry climate of Tehran. The results indicate impressive efficiency in building industry in contemporary architecture of developing countries especially in Iran and west of Asia. Keywords: Daylight, Thermal, louver, Shading, Optimization
TL;DR: In this article, the surface area and pores development of activated carbon (TSC) from tamarind seed were investigated and the best conditions for TSC sample to adsorb MB effectively were at 50 mL of MB with concentration 120 ppm at temperature, 323 K by using 0.04 g of TSC.
Abstract: In this study, thedye treatment which is methylene blue (MB) as water pollutants was ascertained with the activated carbon that prepared from the tamarind seed(Tamarindusindica). The conditions used to prepare activated carbon, (TSC) were activated using phosphoric acid as an activating agent at temperature 500 oC for four hours. These conditions may be attributed to enhance the surface area and pores development of TSC. Single point BET surface area (SBET) analysis gave the surface area of TSC was and FESEM analysis showed that the pores development and formation were mostly in circle and oval pattern. The best conditions for TSC sample to adsorb MB effectively were at 50 mL of MB with concentration 120 ppm at temperature, 323 K by using 0.04 g of TSC. The maximum adsorption capacity for MB dye solution was 102.77 mg g-1Keywords: Tamarind seed; dyes; methylene blue; adsorption; phosphoric acid.
TL;DR: The experimental results show that the proposed framework produces better-quality and more accurate than normal flow state-of-the-art stereo matching algorithms and the framework is evaluated on three Middlebury datasets.
Abstract: This paper presents a new disparity map refinement process for stereo matching algorithm and the refinement stage that will be implemented by partitioning the place or mask image and re-projected to the preliminary disparity images. This process is to refine the noise and sparse of initial disparity map from weakly textured. The plane fitting algorithm is using Random Sample Consensus. Two well-known stereo matching algorithms have been tested on this framework with different filtering techniques applied at disparity refinement stage. The framework is evaluated on three Middlebury datasets. The experimental results show that the proposed framework produces better-quality and more accurate than normal flow state-of-the-art stereo matching algorithms. The performance evaluations are based on standard image quality metrics i.e. structural similarity index measure, peak signal-to-noise ratio and mean square error.
TL;DR: This report introduces an model about Diesel Generator (DG) and a battery storage microgrid (MG) system and the DG may be the little scale which broadly utilized within power generation system.
Abstract: Nowadays, distributed generation innovation required
picked up a greater amount by many countries. Recently,
there would a many issue for power system. A standout
amongst those issue is high electricity price. Those cost
Previously, energy generation depend generally on the
sort also market value of the fuel used, government
subsidies, goverment and industry regulation, furthermore actually local climate patterns. Other than that, utilization of fossil fuel necessary on a chance to be cuts. By utilizing those fossil fuel, it will result in the
exhaust cloud and corrosive downpour. Subsequently that, it will result in the greenhouse emanation and earth's environmental will shift. So as with supply a better power system, this report introduces an model about Diesel Generator (DG) and a battery storage microgrid (MG) system. The DG may be the little scale which broadly utilized within power generation system. DG can work for renewable also non-renewable energy. Through this project, DG will be design toward utilizing DG and battery storage system. Those DG system will make Analysis for grid connected.