International Journal on Advanced Science, Engineering and Information Technology
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2006 research outputs found
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3D Velocity Measurement of Translational Motion using a Stereo Camera
Get PDFThis research aims to create a 3D velocity measurement system using a stereo camera. The 3D velocity in this paper is the velocity which consists of three velocity components in 3D Cartesian coordinates. Particular attention is focused on translational motion. The system set consists of a stereo camera and a mini-PC with Python 3.7, and OpenCV 4.0 installed. The measurement method begins with the selection of the measured object, object detection using template matching, disparity calculation using the triangulation principle, velocity calculation based on object displacement information and time between frames, and the storage of measurement results. The measurement system's performance was tested by experimenting with measuring conveyor velocity from forward-looking and angle-looking directions. The experimental results show that the 3D trajectory of the object can be displayed, the velocity of each component and the speed as the magnitude of the velocity can be obtained, and so the 3D velocity measurement can be performed. The camera can be positioned forward-looking or at a certain angle without affecting the measurement results. The measurement of the speed of the conveyor is 11.6 cm/s with an accuracy of 0.4 cm/s. The results of this study can be applied in the performance inspection process of conveyors and other industrial equipment that requires speed measurement. In addition, it can also be developed for accident analysis in transportation systems and practical tools for physics learning
Nonparametric Regression Mixed Estimators of Truncated Spline and Gaussian Kernel based on Cross-Validation (CV), Generalized Cross-Validation (GCV), and Unbiased Risk (UBR) Methods
Get PDFNowadays, most nonparametric regression research involves more than one predictor variable and generally uses the same type of estimator for all predictors. In the real case, each predictor variable likely has a different form of regression curve so that if it is forced, it can produce an estimation form that does not match the data pattern. Thus, it is necessary to develop a regression curve estimation model under the data pattern, namely the mixed estimator. The focus of this study is an additive nonparametric regression model, a mix of the Truncated Spline and Gaussian Kernel. There is a knot point in the Truncated Spline, while in the Gaussian Kernel, there is bandwidth. To choose the optimal knot point and bandwidth in a mixed estimator model, various methods can be used, including Cross-Validation (CV), Generalized Cross-Validation (GCV), and Unbiased Risk (UBR). This research proposes the optimal knot point and bandwidth estimation on the mixed estimator Truncated Spline and Gaussian Kernel model. Furthermore, the comparison between CV, GCV, and UBR is used to validate the proposed method. The simulation study was carried out by generating the Truncated Spline function and the Gaussian Kernel on a combination of sample size variations and variances. The simulation results show that the GCV method provides a higher coefficient of determination (R2) value and better accuracy for each combination of sample sizes and variance variations
Improved Self-Adaptive ACS Algorithm to Determine the Optimal Number of Clusters
Get PDFA fundamental problem in data clustering is how to determine the correct number of clusters. The k-adaptive medoid set ant colony optimization (ACO) clustering (METACOC-K) algorithm is superior in solving clustering problems. However, METACOC-K does not guarantee in finding the best number of clusters. It assumed the number of clusters based on an adaptive parameter strategy that lacks feedback learning. This has restrained the algorithm in producing compact clusters and the optimal number of clusters. In this paper, a self-adaptive ACO clustering (S-ACOC) algorithm is proposed to produce the optimal number of clusters by incorporating a self-adaptive parameter strategy. The S-ACOC algorithm is a centroid-based algorithm that automatically adjusts the number of clusters during the algorithm run. The selection of the number of clusters is based on a construction graph that reflects the influence of a pheromone in algorithm learning. Experiments were conducted on real-world datasets to evaluate the performance of the proposed algorithm. The external evaluation metrics (purity, F-measure, and entropy) were used to compare the results of the proposed algorithm with other swarm clustering algorithms, including a genetic algorithm (GA), particle swarm optimization (PSO), and METACOC-K. Results showed that S-ACOC provides higher purity (50%) and lower entropy (40%) than GA, PSO, and METACOC-K. Experiments were also performed on several predefined clusters, and results demonstrate that the S-ACOC algorithm is superior to GA, PSO, and METACOC-K. Based on the superior performance, S-ACOC can be used to solve clustering problems in various application domains.Â
The Effect of Banana Pseudostem Flour and Food Bar of Edible Canna Substituted with Banana Pseudostem Flour on Lipid Profile of Hypercholesterolemia Mice
Get PDFCavendish Jepara 30 banana pith (EBP J30) flour and canna starch-based food bar, which was substituted with EBPJ30 Flour, were reported to contain dietary fiber and resistant starch so that it has the potential to improve the lipid profile. However, there has been no reference, research related to the effects of both on the lipid profile, and their ability to bind bile acids. The study aims to analyze the effect of EBP J30 flour diets and canna starch-based food bar, which was substituted with EBPJ30 Flour on hypercholesterolemia Sprague Dawley's lipid profile mice and its ability to bind bile acids. Thirty male mice, aged two months, divided into six groups, namely groups that were given a standard diet including normal mice, negative controls, and positive controls, hypercholesterolemia mice fed the natural EBP J30 flour, blanched EBP J30 flour, and food bar. The 4-week diet intervention and lipid profile analysis were done once a week, and lipid profile analysis was carried out regularly every week. Diet intervention on blanched EBP J30 flour and food bar reduced total cholesterol, LDL, triglycerides, and increased serum HDL cholesterol levels in mice. The results of in vitro studies suggested that the diet of blanched EBP J30 flour and food bar could increase bile acid-binding capability. Both diets can improve the lipid profile of hypercholesterolemia mice suspected due to the bile acids' binding capacity in the blood
Performance of a Solar Chimney for Cooling Building Façades under Different Heat Source Distributions in the Air Channel
Get PDFSolar chimneys can be employed in buildings for natural ventilation, cooling, or heating of the building envelope, hence saving energy. In open double-skin facades, the air channel's thermal effects between the two layers of a façade are similar to those in a solar chimney. Most studies about solar chimney in the literature have been focusing on heating one air channel wall. In this study, the performance of a solar chimney under different distributions of the heat source on both walls of the air channel was studied numerically by the Computational Fluid Dynamics method. Induced flow rate, temperature rise, and thermal efficiency of the chimney were investigated. Chimneys with practical dimensions with the height ranging from 0.5 m to 1.5 m and the gap-to-height ratio ranging from 0.025 to 0.15 were examined. The results showed that together with the chimney's dimensions, location, and distribution of the heat source on the channel's walls strongly affect the performance of the chimney. While heating the whole left wall induced more flowrate than heating the whole right wall, heating part of the left and the right walls resulted in peak performance at specific portions of the right wall heated from the bottom or the top of the channel. The peak values of the investigated parameters and the specific portions of the heated wall to achieve those peaks also changed with the channel's gap–to–height ratio
Performance Analysis of Heuristic Miner and Genetics Algorithm in Process Cube: a Case Study
Get PDFDatabases that are processed in the form of Online Analytical Processing (OLAP) can solve large query loads that cannot be resolved by transactional databases. OLAP systems are based on a multidimensional model commonly called a cube. In this study, OLAP techniques are applied in process mining, a method for bridging analysis based on business process models with database analysis. Like data mining, process mining produces process models by implementing the algorithms. This study implements the heuristic miner algorithm compared with genetic algorithms. The selection of these two algorithms is due to the characteristics to be able to model the event log correctly and can handle the control-flow. The capability in handling control-flow including the ability to detect hidden task, looping, duplicate task, detecting implicit/explicit concurrency, non-free-choice, the ability to mine and exploiting time, overcoming noise, and overcome incompleteness. The results of conformance checking on the heuristic miner algorithm for all data, fitness values, position, and structure are 1, 0.495, and 1, while the results of the genetic algorithm are 0.977, 0.706 and 1. Both algorithms have good ability in modeling processes and have high accuracy. The results of the F-score calculation on the heuristic miner algorithm for all data is 0.622, while the result in the genetic algorithm is 0.820. It indicates that genetic algorithms have better performance in modeling event logs based on process cube
Developing Birth Preparedness and Complication Readiness (BPCR) Screening Based on Android Applications
Get PDFMaternal Mortality Rates (MMR) in Indonesia are still relatively high and not yet to reach the Sustainable Development Goals (SDGs) target of MMR in 2014 of 133/100,000 live births. One of MMR's causes is due to 3 delays, namely the delay in the introduction of danger signs and decisions, new arrivals at health facilities, and delays in service at health facilities. For prevention purpose, a Birth Preparedness and Complication Readiness (BPCR) screening application are needed. This application aims to do labor planning and determine the risk of pregnancy so that the mother is ready to face the risk of complications at delivery. This research method uses a prototype method of designing and building applications. For testing this application, researchers conducted a BPCR screening test on 30 pregnant women. Then the data is tested for validity and reliability using sensitivity and specificity tests. This study's results can display the main page application, Birth Preparedness of the Application, Complication Readiness of the Application. The Result of BPCR of the Application. This application has been tested for validity and reliability by using a sensitivity test of 83% to determine the high/moderate risk of pregnancy that experiences complications during labor. At the same time, the specificity test was 77.78% to determine the low risk of pregnancy that did not experience difficulties during labor
The Bond Strength on Over Lapping Bars Using Pullout Test
Get PDFThe behavior of reinforced concrete structures depends on sufficient bond strength between concrete and reinforcing steel. The perfect bond between the reinforcement surface and the concrete makes the transfer force work well. In this experiment, several forms of bars overlapped in the concrete and then tested pullout directly. This experiment is to get the tendency of the bond stress patterns that occur in overlapping bars. Another result of the study is the failure pattern of each specimen. The specimen size is 150×150×150 mm. In the center of the concrete cube is rib two overlapped bars. The reinforcement used plain and two ribs types of bars surface. The compression of concrete used is a minimum of 25 MPa. Furthermore, the specimen was subjected to a pullout test loaded in stages with 22 kN/minute speed. Loading stopped after the sample has collapsed. The pullout test uses the ASTM C234-91a standard. The failure pattern of plain reinforcement specimens with diameters of 12 mm, 16 mm, and 19 mm is a pullout or a slipped. The specimen with deform bar diameter 13 mm, 16 mm, and 19 mm occurs in splitting failure. The pullout test result, all samples in connection not yielded yet. The results show that the higher the bar diameter's development length, the higher the bond strength. The bond stress of the plain bar is smaller than the deform bar
Analysis of Value-Added and Calculation of Production Cost in the Production of Processed Coconut Product
Get PDFCoconut is a potential commodity to be developed. The development of coconut agro-industry can increase product added value. Value-added analysis needs to be carried out to find out how much the added value of processed coconut product is. The calculation of basic costs also needs to be done to find out how much it costs to produce 1 unit or 1 kg of product. This research is beneficial as decision support through useful information for coconut farmers in increasing their income. Value-added analysis in this study used the Hayami method, while the calculation of the cost of processing involves fixed costs, variable costs, working hours, and production capacity. The study was conducted in Indragiri Hilir Regency, Riau. Product selection is based on previous research, which shows that prospective products developed are coconut oil, coconut sugar, and shell charcoal. Data collection was carried out in three districts, namely Mandah, Reteh, and Enok. The results showed that each product's added value was IDR 1,037.79 per kg in coconut sugar processing, IDR 760 per kg in coconut oil processing, and IDR. 249.98 per kg in shell charcoal processing. The results of the calculation of the cost of processing, the results obtained the production cost of charcoal processing is IDR 472.92 per kg, for coconut oil processing is IDR 14,939.13 per kg, and for processing of coconut sugar, it is IDR 8,535.07 per kg. The three products' production cost is far less than the selling price, so the business is quite profitable
The Correlation Model between Microclimates and Potato Plant Growth
Get PDFMulch in vegetable crops will provide a good growing environment for plants because it can reduce evaporation, prevent direct exposure to excessive sunlight to land, and maintain soil humidity for the plant to absorb water and nutrients optimally. The use of plastic mulch, especially silver, black plastic mulch in vegetable production with high economic value, is continuously increasing in line with the increasing needs and consumers’ demand for vegetable products. Various studies have shown that mulch can increase crop yields, improve crop quality, and ultimately improve farming efficiency. This study aimed to determine the relationship between microclimate and potato growth due to the use of different mulch types. The research method uses an experimental design using a random group design. The study was conducted in the District of Bumiaji, Batu city, East Java, Indonesia. Observations were made for climate components, namely air temperature, soil temperature, the radiation received by a crop canopy, and reflected radiation by the soil's surface. Simultaneously, the measured growth variables were the plant's height, the number of leaves, the leaves' width, stem diameter, and the stover's dry weight. This study showed that silver-black-plastic mulch provides the highest growth of potato compared to other treatments. The use of silver-black plastic mulch lowers the soil's temperature, maintains soil moisture, and increases the PAR above the plant canopy