International Journal on Advanced Science, Engineering and Information Technology
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    2006 research outputs found

    Contribution of Production-Based Learning, Student Engagement, and Locus of Control towards Entrepreneurship Learning Outcomes in Engineering Education

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    This study was motivated by entrepreneurship learning outcomes in engineering education that could not have a significant positive impact on students’ interest in entrepreneurship. Currently, entrepreneurship learning is boring, predictable, and has not provided a good learning experience. This study described and tested the contribution of production-based learning, student engagement, and locus of control to entrepreneurship learning outcomes. This research used a quantitative method. The population was all students who take the entrepreneurship course in engineering education for 2,600 people, and the sample is 307 students. The research instruments used a reliable and valid Likert scale and the test for assessing entrepreneurship learning outcomes. Data were analyzed using parametric statistics. The results obtained from this research; there is the contribution of production-based learning, student engagement, and locus of control to the entrepreneurship learning outcome. Production-based learning provides an opportunity for students to be directly involved in a collaborative learning process. Besides, the raising of internal locus of control, for the level of confidence of students in the learning process, has a good impact on the entrepreneurship learning outcome students. The process of learning entrepreneurship by applying production-based learning also becomes more meaningful. It gives an influence on external locus of control, such as job opportunities and readiness in the community to be well open. Thus, it also automatically contributes to the improvement of the quality of graduates in engineering education

    Analysis of Dual Phase Dual Stage Boost Converter for Photovoltaic Applications

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    In the previous two decades, the depletion of fossil fuels has led to applications with renewable energy sources. The approach for renewable energy application is to achieve eminent static boost ratio from with miniaturized ripple content in both current and voltage. The novel converter discussed in this paper is derived by combining the concept of interleaving and cascading of boost converters. The presented design has a dual phase boost converter followed by a stage of boost converter which as a whole acts like dual phase dual stage boost converter. The interleaving concept is utilized in dual phase boost converter to reduce the voltage current stress created in boosting process and its output is boosted by the dual stage boost converter which improves overall efficiency with respect to the existing systems. The converter is designed for a power rating of 200W with output voltage of 192V for an input voltage of 12V obtained from photovoltaic source at a switching frequency of 50KHz this illustrate the advantages over other existing converters . The different parameters of the proposed boost converter are contrasted with that of a conventional boost converter. Furthermore, the simulations results of the proposed converter are presented to validate the system design. The results exhibit that this converter achieves a predominant performance over other dc-dc boost converters by offering improved efficiency and voltage gain, while having lower input current ripple

    Underwater Photogrammetry Application for Coral Reef Mapping and Monitoring

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    Underwater 3D reconstruction techniques such as underwater photogrammetry are the latest trend in low cost survey techniques. This article explains how the data acquisition process is up to the process of producing an underwater photo map.  Automatic data processing for coral reef objects from the initial data acquisition stage to building 3D models from seabed objects to rendering in virtual reality. In this paper, underwater photogrammetry was applied with SfM (Structure from Motion) algorithm in performing 3D reconstruction of coral reefs that will be produce orthophoto map. Geodetic measurements also performed to the model for control point. The analysis will be divided into t-test and F-test. From the processing, coral reef modeling has obtained the result of a linear error which t-test produce <50% data, both at 95% and at 99 % confidence level. The F-test gain a positive value where the point value used in the linear error test on marker L and K, the value at α = 0.05. The 3D coral reef model in the resulting orthophoto still has weaknesses, for example the color appearance that depends on the level of clarity of the water as well as the camera filter used. However, in 2D display is sufficient and can be an alternative to other methods, for example, the LIT method

    Design and Simulation of a Model Predictive Controller (MPC) for a Seismic Uniaxial Shake Table

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    Shake table is one of the apparatus that aids in researches to generate techniques, structural developments, and strategies to prevent, prepare, and minimize an earthquake’s devastating effects. One important factor that should be considered in a shake table is the system dynamics due to control-structural interactions, which could either be linear or non-linear. To accurately model both has always been the challenge but becomes more plausible with the availability of faster hardware and computers and the continuous decrease in latency. Model Predictive Controller (MPC) is a type of controller extensively used in the industry that can be used on linear and non-linear systems. This study presents the design and simulation of an MPC for a uniaxial shake table intending to analyze the system’s behavior and accuracy. MATLAB Simulink was utilized to handle the simulation analysis of the controller. Different MPC parameters such as sample time, prediction horizon, control horizon, and closed-loop performance were manipulated and adjusted to observe their effects on the output of the system. A signal that mimics the actual earthquake data was inputted into the controller, and the system's behavior and outputs were measured and presented through graphical representations. To determine the accuracy of the system’s output, its relationship with the reference signal was compared. From the simulation produced, the system demonstrated high accuracy levels and could be adjusted depending on the set performance aggressiveness of the system

    Network Structure of Institutions in Cassava Agro-Industry Development in Lima Puluh Kota District

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    The development of cassava agro-industry in Lima Puluh Kota District is very potential. It is related that Lima Puluh Kota District is the largest cassava commodity production district in West Sumatera Province. There are formal and informal institutions that support the development of agro-industry through various activities involving agro-industry. This study aims to describe the network structure of formal and informal institutions in the development of cassava agro-industry in Lima Puluh Kota District. This research uses mixed methods research. Data and information in this study are obtained from literature studies, observations, in-depth interviews, and Focus Group Discussions (FGD) used for quantitative and qualitative analysis. The quantitative analysis used descriptive statistics, and qualitative analysis used the interactive model. The results of this research showed that the frequency of interactions of informal institutions and agro-industry is more often than formal institutions. Social relations are more dominant than business relations in the network structure of formal institutions and agro-industry. On the other hand, the network structure of informal institutions and agro-industry, business relations are more dominant comparing social relations. Social relations can get through coaching activities such as counseling, training, procurement of production equipment, and business licensing. While business relationships can get through transactions such as purchasing, selling, land leasing, loan of capital, saving of money, and transfer of money. Informal institution relations occur in every agro-industry activity, starting from procurement of raw materials, auxiliary materials, processing, and marketing products. Formal institution relations occur in processing and marketing products

    Development of a New Polymer Membrane: Polyvinylidene fluoride/Polyetherimide Blend Membrane

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    Porous polyetherimide (PEI)/polyvinylidene fluoride (PVDF) coated flat sheet membranes with different compositions and polyethene glycol (PEG) pyrogenic additives have been prepared by non-solvent induced phase separation for the separation of metal salts and sucrose. By using non-solvent induction phase separation (NIPS), it has succeeded in preparing new members of mixed matrix PVDF membrane with (i) asymmetry pore structure, (ii) porosity 7.19%-18.93%, (iii) pore size 0.196 nm-0.453 nm and (iv) mechanical strength 4262.04-24472.57 N/m2, (vi) permeability respectively of 500.48 L/m2.h.bar for C12H22O11; 642.94 L/m2.h.bar for NaCl; 623.64 L/m2.h.bar for MgCl2; 1060.39 L/m2.h.bar for CaCl2; and 1292.85 L/m2.h.bar for CuSO4. Specifically, increasing PEI levels up to 2(wt.%) - 8 (wt.%) has reduced overall porosity and pore size, thus having a specific impact on mechanical strength, pure water permeability (PWF) and the permeability of the feed solution. The opposite phenomenon is observed when the PEI level reaches 10 (wt.%) - 14 (wt.%). Furthermore, compared to pure PEI membranes, PVDF/PEI composite membranes were observed to have a higher resistance to acids and lower to bases. This condition applies in contrast to pure PVDF membranes. Despite having moderate chemical resistance, PEI/PVDF membranes have excellent characteristics and separation performance compared to pure membranes. This demonstrates its promising potential for separation of soluble metal salts and sucrose produced by various industrial processes compared to PVDF and PEI membranes

    Influences of the Temperature Variations in the Gondola of the Goldwing S50/750 Wind

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    The use of wind energy is a decisive factor for human development, associated with the environment and capacity of people exploiting this vital resource. The investigation is part of predicting the behavior of the temperatures inside the nacelle of the Goldwind wind turbines S50 / 750 models installed in the Gibara Wind Farm. It supports its theories and analysis of computer-aided design (CAD), by monitoring the working temperatures, which interact with the forced ventilation system in the studied devices. The values analyzed result from continuous measurements carried out by the SCADA systems (Supervisory Control and Data Acquisition) of the studied machines. Which allows the diagnosis and early visualization of unforeseen incipient failures that currently occur under operating conditions standardized by the manufacturer. When the wind reaches speeds that exceed 11.5 m/s, major aggregates such as the gearbox and the generator fail. The results obtained in the investigation will allow to correct the program in the PLC (Logical Control Program) for the start-up and stop of the cooling system of the wind turbines in order to generate an ideal thermal balance for the working condition activities in Cuba, inside the nacelle, reducing the frequent occurrence of critical temperature values in the maximum limit that put the wind turbines out of service and therefore providing the wind farm with a higher coefficient of technical availability.Â

    Calibrating Trip Distribution Neural Network Models with Different Scenarios of Transfer Functions Used in Hidden and Output Layers

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    The transfer function is used to process the summation outputs in the hidden and output nodes. It can generally be categorized as either a non-linear or linear function. Examples are Sigmoid and Purelin functions representing non-linear and linear transfer functions. It is often mentioned that there is no standard guideline in the transfer function selection, and the Sigmoid or Logsig is widely used. However, the transfer function and training algorithm have a procedural relationship in training Multilayer Feedforward Neural Network (MLFFNN), a famous Artificial Neural Network model structure. In the feedforward stage, this function transforms the linear summation output to either linear (Purelin) or non-linear form (Sigmoid). In the backpropagation stage, this function is used in calculating the magnitude of change in the connection weights involving its derivative. Nine scenarios of MLFFNN were developed based on different transfer functions used in both hidden and output layers. In order to make fair comparisons, each scenario has the same initial connection weight. The modelling is conducted at the calibration level only; however, it involves different levels of complexity. It was calibrated by using the Levenberg-Marquard training algorithm. The results suggest that some calibrations failed and negative estimations occurred once non-linear transfer functions were used in hidden and output layers. It was found that Purelin was superior to other transfer functions. However, it has a weakness which is its negative estimations

    Recreational, Fitness and Health Center: Facility Layout Design Case Study

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    Systems Engineers focus on a systematic development process for any project of interest, aiming to proceed from a concept to a final successful product. They consider business operation, management, and engineering technicality. Our team was giving a chance to develop and improve a real-life system, starting from the design stage by implementing regulation, improvements, and integrating new technologies. Our focus was on designing a new local Health Center that provides recreational, fitness, and health care services. Facility design and logistics are considered as something that can “make it or break it†for businesses because they affect the customer’s perception, attractiveness, comfort, and accessibility levels, which are essential business success factors.  Any business type such as warehouse, customer service, or food distribution, apply different facility design techniques. Our team designed a facility layout, which meets the state, city, and American with Disabilities Act regulations, and provides the local community with a state-of-art health facility. A health club layout design considers multiple factors, such as type and number of equipment, facility location, available amenities, human factors, user safety, and use frequency. All these factors had been included to design the 50,000-ft2 and 2-floors layout of the health center facility. The team presented 2D and 3D layout designs that comply with the imposed constraints and requirements while accommodating users’ needs and confront

    Physicochemical Properties of Xylitol Crystals from Oil Palm Empty Fruit Bunches Hydrolysate

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    Xylitol, a low-calorie sugar made up of five carbon atoms, had the valuable characteristics suitably applied for pharmaceutical and food industries. This sugar can be produced from oil palm empty fruit bunches (OPEFB) through hydrolysis and followed by fermentation. The xylitol in the fermentation broth requires the downstream process to obtain the final product with high purity and yield. Among a series of xylitol downstream process, crystallization becomes a critical step since this process determines the properties of final products. The objective of this study was to evaluate the effect of evaporation temperature (55°C and 70°C) and seeding addition (0%, 0.1%, 0.5%, 1 %) in the crystallization step on the physicochemical properties of xylitol crystals obtained from the OPEFB hydrolysate. The main evaluation criteria were crystal contents, purity, melting point, water content, hygroscopicity, solubility, caloric content, and crystal xylitol yield. The result showed that the crystal form obtained was relatively sticky and had lower purity than commercial ones because the concentration of xylitol solution increased after evaporation. The differences of physicochemical properties of the crystals such as the purity, porosity, yield and crystal form were influenced by evaporation temperature. The crystals formed by 70°C evaporation temperature produced the crystals with higher caloric value and purity, but it had lower hygroscopicity and moisture content than crystals formed by 55°C. However, the percentage of seeding gave an insignificant impact on xylitol crystal properties

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