International Journal on Advanced Science, Engineering and Information Technology
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2006 research outputs found
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Artificial Pancreas: Avoiding Hyperglycemia and Hypoglycemia for Type One Diabetes
Get PDFThe objective of this work is to automatically regulate glycemia of Type 1 Diabetes Mellitus (T1DM) avoiding both hyperglycemia and hypoglycemia risks. A positive state feedback controller was designed previously to regulate Blood Glucose Concentration (BGC) in the fasting phase maintaining the system in the positively invariant set (PIS). The drawback of this positive controller is that when tested in the postprandial phase it couldn’t avoid hyperglycemia. Therefore, in this work, the positive state feedback controller was developed to avoid both hypoglycemia and hyperglycemia maintaining the system inside the PIS. Meal disturbance is estimated by a sliding mode perturbation observer to be included in the control law. Such that meal effect is canceled early enough preventing glycemia from raising to hyperglycemia, but the positivity of the new controller isn’t guaranteed. Therefore, a hybrid controller is designed to switch to the previous positive controller whenever the new controller has a negative action. A positive control is essential in this problem since the control input (insulin) can only be infused and it cannot be taken back from the bloodstream in case of any overdoses. The hybrid positive controller is tested in silico on five virtual T1DM patients. The results shown that the average percentage of time for glycemia over 180mg/dl (3.6%), normal range (80-120mg/dl) (78.2%), and below (80mg/dl) (0%) from overall simulation time. In conclusion, the hybrid positive control law succeeded to maintain the system inside the PIS avoiding hypoglycemia and preventing hyperglycemia keeping BGC in normal range rejecting meal disturbance
The Narration Layer of Fatahillah Museum Based on Narratology Model Analysis
Get PDFThe narratology model of museum architecture divides storytelling into four layers; history, story, narrative, and narration. The model is a translation from the narratology model in the literature field by the logical argumentation method. The narratology model has not been examined in the existing museum. Therefore, this study aims to find a way to apply the model to the narration layer and see the characteristic of the storytelling medium. This method uses descriptive methods and direct observation. The object study was Fatahillah Museum. The researchers found three findings in this study. First, the narration layer can be carried out by visitors through direct observation without prior knowledge of the curator’s or architect’s intention. Second, each spot of the story is dominated by a combination of storytelling medium and only label medium that can be autonomous. Third, the Fatahillah Museum has an intradiegetic storytelling medium, namely site, building, spatial form, and object, and an extradiegetic storytelling medium, namely, the organization of space, labels, and people. Each room in the Fatahillah Museum is a combination of these two characteristics. The intradiegetic characteristic of the Fatahillah Museum is the main strength because visitors can meet the narrator who is involved in past events. The suggestions for researchers or other designers are that the use of technology as a storytelling medium to increase the level of enthusiasm of visitors is a good thing. However, technology as a medium for storytelling must still be able to increase the intradiegetic value
Determination of Compression Stress and Volumetric Weight of Lightened Concrete Blocks, with the Use of Recycled Polymers and Nanoadditives
Get PDFThe current study describes the development and evaluation of hollow concrete blocks using recycled polymers and a waterproof, resistance improver nanoadditive together with cement, sand, and pumice to search for an ecological building material capable of reducing the environmental pollution. Three phases were performed; in which the first, we characterized petrous aggregates, polyethylene terephthalate (PET) and the nanoadditive. In the second one, several dosages were established with different percentages of crushed PET that represented to the sand. Additionally, a nanoadditive's part was placed in relation to the total water of the mixture. In the third phase, the compressive stress, volumetric weight, and absorption of the elaborated specimens were determined according to the national standard. The resulting optimal dosage was about 25% PET in replacement of sand + 0.0087 kg of nanoadditive, able to generate a better quality material, obtaining a compressive strength of 36.5 kg/cm2, very close to the normative (40 kg/cm2) and superior to the of commercial blocks (14.35 kg/cm2). Regarding the volumetric weights, the plastic had a good performance as it managed to reduce the weight by 20%, while the use of the nanoadditive waterproofing decreased by 25% of water absorption. The block of the current research was twice as expensive as the traditional, even if production is tripled, as it was reduced to only $ 0.06 (8%). However, in comparison with the industrially elaborated procedure, the costs are very similar
Compensation of The Nonlinear Impairments in All-Optical OFDM Systems Based on The Optical Phase Conjugation (OPC) Module
Get PDFThis study presents a nonlinearity mitigation technique for achieving high performance in the All-Optical Orthogonal Frequency Division Multiplexing (AO-OFDM) transmission systems. Therefore, the Optical Phase Conjugation (OPC) technique has been employed for mitigating the Nonlinear Phase Noise (NLPN) in the AO-OFDM transmission systems. The NLPN has been mitigated in the AO-OFDM transmission system by utilizing the proposed OPC at the middle point of the transmission link. The proposed system is numerically simulated by Virtual Photonics Integrated (VPI) Transmission Maker 9.0 at a symbol rate of 25 Gsymbol/s. During the simulation, 29 subcarriers were generated by Optical Frequency Comb Generator (OFCG) and modulated by 4-array Quadrature Amplitude Modulator (4-QAM). The generated signals are transmitted over 580 km fiber link and received by the coherent receiver. The transmission link contains 4 spans before and 4 spans after OPC module. Each span comprises the Standard Single-Mode Fiber (SSMF) and an EDFA (noise figure = 6 dB) to compensate for the fiber loss. The length of each span is fixed at 70 km in the system simulation. In addition, a 20 km Dispersion Compensation Fiber (DCF) has been used just before the OPC module to compensate for accumulated fiber dispersion. The Signal-to-Noise Ratio (SNR) and Error Vector Magnitude (EVM) have been used to certify the feasibility of the proposed technique. The results reveal that by employing the proposed OPC module, the SNR is improved by ~3.4 dB, and the EVMs are substantially reduced
A Flipped Classroom Framework for Teaching and Learning of Programming
Get PDFProgramming is a difficult subject that requires high analytical skills to comprehend students. Various strategies are introduced to improve difficulties in learning programming for students. This study examined four flipped classroom frameworks and was triangulated with the findings of document analysis from 44 articles related to flipped classrooms in programming. The articles were coded using five different codes emergent from the research questions. The coding produced 314 quotations related to the research questions. The purposes of the flipped classroom are to prepare students before class, give extra in-class time, and create an active learning environment in the classroom. The flipped classroom was implemented mostly in two phases: pre-class sessions and in-class sessions, with individual and collaborative work activities. Ensuring the participation of students in the activities outside the classroom is the biggest challenge in a flipped classroom, while preparing tools and activities is cumbersome to some lecturers. The pre-class activities focus on the introduction and theoretical topic. The implementation of flipped classrooms reported improving students' skills, competencies, and satisfaction in programming. The potential of exploring analysis and problem-solving activities in pre-class sessions while strengthening students' knowledge in post-class sessions seems to be assured. A flipped classroom framework for programming is proposed. The framework has three phases; pre-class, in-class, and post-class, with suggestions, activities, and motivational elements to complement the conceptual and technical needs in programming using flipped classroom approach
Managing Bank Soil on Surface Mining Operation with USLE Method
Get PDFThe most valuable layer in mining activities is topsoil, so adequate management is needed, especially in maintaining its quality, quantity, and mechanical properties. The land is used for revegetation, which supports post-mining success and can return the land to its original condition. This process starts by placing the soil in one area, and when the revegetation area is ready, it is removed. Soil is loose and has low mechanical properties, so it is susceptible to erosion when it rains. The research objective is to manage topsoil to maintain quantity and quality, and erosion and sediment load can be reduced. The analysis was carried out using the Universal Soil Loss Equation (USLE) method by changing the variable C (cover factor) through the option of planting Cymbopogon nardus. This plant has long roots that can increase soil cohesion, grows fast, and has economic value. Planting Cymbopogon nardus with a spacing of 0.8 m can reduce erosion by 175.67%, less than the bare soil condition. The value of the C factor decreased from 1 to 0.759 after planting Cymbopogon nardus with that spacing. The decrease in monthly erosion is 14.72-49.78 tons/ha/month, with an average decrease of 30.14 tons/ha/month or 361.69 tons/ha/year. Planting Cymbopogon nardus effectively reduces erosion at a lower cost and effort. This plant provides many benefits after leaves and stems can be distilled to produce essential oils
Optimizing of the Parameters of Coconut Sugar Production Using Taguchi Design in Riau, Indonesia
Get PDFThe quality of coconut sugar produced from Indragiri Hilir Regency, Riau Province, is still fluctuating and has not compliant with SNI-01-3743 of 1995, which incorrect parameters in its production may cause incorrect parameters in its production. Optimizing of production parameters is needed to maintain the quality of coconut sugar. Coconut sugar quality indicators can be determined from the physical-chemical and organoleptic characteristics. Therefore, it is necessary to modify the parameters of coconut sugar production, aiming to obtain optimal production parameters to produce a standard production process and coconut sugar following consumer needs and SNI. The experimental design uses the Taguchi method, which consists of 4- factor variables: (1) the type of sap preservative, (2) defoaming agent, (3) the time of tapping, and (4) the cooking temperature of the sap. The multi-response loss function approach was used to select the best production process parameters based on the typical characteristics of qualities. The results showed that the optimal production parameters were obtained in a combination of mangosteen peel and lime as sap preservative, coconut milk as a defoaming agent, long-time tapping time of 8 hours (heating) +16 hours, and cooking temperature of 135oC with a yield of 15.58%, part of water-insoluble in 0.07%, (ΔE) color 62.30, hardness 99.92 N, moisture content 6.87%, ash content 1.96%, sucrose content 77.77%, reducing sugar content 8.09% with organoleptic test values close to 4 ( like) and equal SNI
Study of Nisi Chicken Diversity Based on Morphometric Analysis and Bioacoustic Analysis
Get PDF— This study aims to obtain data on the diversity of nisi chickens based on morphometric analysis of body weight bioacoustic analysis of the crowing sound. The number of studies that link morphometric analysis with bioacoustic analysis is one of the reference sources used as a reference in conducting this study. In the future, it is hoped that this research will be one of the contributions of knowledge for further research or similar research. The parameters used in the analysis are neck length for morphometric analysis and bioacoustic parameters using the number of crowing syllables, crowing duration, and wave frequency. The data generated from the morphometric analysis were then analyzed statistically for the average test using ANOVA which was analyzed together with the data generated from the Cold Edit Pro software to conclude the resulting data. The parameters observed were the number of crowed syllables, crowing duration, wave frequency, and crowing frequency. The results showed that the duration of the crowing of the nisi chicken ranged from 1.922 seconds to -2.064 seconds with an average duration of 1.9837 seconds. The results of morphometric analysis of neck length obtained that the average neck length of 30 chicken samples was 10.25 cm with the shortest range being 10.0 cm and the longest being 10.8 cm. The results of sound analysis for the wavelength frequency of the crowing of the nisi chicken ranged from 698.10 Hz - 786.22 Hz with an average wavelength of 733.89 Hz. For the number of syllables produced from the crowing sound, uniform results are obtained in the form of 7 syllables. The results of the analysis using ANOVA obtained an F count of 0.001447 smaller than F table 1.656383. The conclusion in this study is that the neck length morphometric analysis does not affect the bioacoustic analysis so that the diversity of nisi chickens analyzed shows uniformity
Access Control System based on Voice and Facial Recognition Using Artificial Intelligence
Get PDFComputer security has become a matter of great concern at the global level. Whatever the economic sector, all companies handle confidential information related to clients and personnel. These latter therefore need to be seen as sensitive assets that require protection. Appropriate, consensual handling of personal information is thus a legal and delicate requirement that demands to be treated securely in all types of business. Many companies and clients have lost sums of money in the millions due to incorrect information protection, triggering complicated, expensive proceedings that are awkward and cumbersome to resolve. To implement an authentication system based on biometric parameters, which strengthens the security of sensitive assets in areas considered critical in various organizations by attaining the highest accuracy in user classification processes. By applying a convolutional neural network: MobileNet, viewing via computer and low-cost devices (Raspberry Pi 3). The system constitutes an authentication device for voice and face with 96% and 100% accuracy, respectively. Conclusion: The system shows that deep learning (Deep Convolutional Neural Networks), in combination with devices such as the Raspberry, generate a system capable of high performance in time and cost, as well as providing companies with a robust system featuring high accuracy in the correct recognition of the biometric patterns of users registered and trained by the system
Effect of Microwave Pretreatment on Some Properties of Bamboo (Gigantochloa apus) for Bioethanol Production
Get PDFPretreatment of lignocellulosic biomass plays an essential role in bioethanol production as an alternative biofuel. This process reduces biomass recalcitrance in order to improve cellulose digestibility for saccharification and further fermentation reactions. In this study, microwave (MW) pretreatment was done on bamboo (Gigantochloa apus) to investigate the resulting physicochemical properties and bioethanol produced. Bamboo was irradiated in the microwave at different power (100-600 Watt) and irradiation time (5-20 minutes) followed by Water Soluble content (WSC) and lignin analysis. Simultaneous saccharification and fermentation (SSF) using cellulase enzyme was also done in five different treatment combinations (C1-C5) to investigate the effect of produced reducing sugar and bioethanol. The result shows that increasing MW power and irradiation time could decrease WSC gradually. The lowest WSC of 0.3% was obtained at 600-Watt MW power and 20 minutes irradiation time. Lignin content decreased from 18.9% to 16.0% concerning increasing irradiation time from 5 to 20 minutes under 300-Watt MW power. SEM images show that partial disruption and micro-scale pores existed in pretreated samples. The highest amount of ethanol was obtained at 24 hours fermentation for pretreated bamboo at 300-Watt MW power for 15 minutes followed by cellulase enzyme addition. The overall results showed that microwave pretreatment is a prospective method for future bioethanol production from bamboo due to effective WSC reduction and lignin degradation in a relatively short period of time