International Journal of Advances in Applied Sciences
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A receiver-side power control method for series-series magnetic topology in inductive contactless electric vehicles battery charger application
Get PDFWireless power transfer (WPT) can be used to charge the battery conveniently and efficiently. In this paper, the investigation of high-efficiency S/S resonant magnetic topology in inductive wireless battery charging of electric vehicles (EVs) is analyzed, designed, and controlled. To regulate the output power efficiently rather than controlling the supply voltage, novel bidirectional switches are introduced to control the output power by using the duty cycle control method. The output power of the secondary side is derived and discussed based on the fundamental harmonic approximation (FHA) approach. A 1.5 kW, 120 mm distance, and 85 kHz resonance frequency are verified in MATLAB/Simulink
Performance analysis of protection devices in electrical power distribution system: Eko Electricity Distribution Company as a case study
Get PDFOne of the major challenges hindering the effective operation of the electricity distribution system is the malfunctioning of the protection scheme. Therefore, in this study, the performance of an interrupter (oil circuit breaker (OCB)) on the Eko Electricity Distribution Company (EKEDC) network was assessed. Five-year outage data (2014 to 2018) regarding tripping of the interrupter on fault and health conditions were collected from the EKEDC Agbara/Badagry Business Unit. The tripping frequency was compared. Inspection of selected OCBs within the considered network was conducted over the study period. A breakdown voltage (BDV) test was carried out on six oil samples each for 11 and 33 kV OCB using Megger OTS60PB. The highest tripping frequency of 75 and 10 were observed in 2014 and 2018 respectively when the interrupter tripped on fault and healthy conditions. The lowest tripping frequency was, however, observed in 2018 with values of 46 and 7 respectively when the interrupter tripped on fault and healthy conditions. The inspection conducted revealed carbonized OCB contacts. The BDV test showed that two oil samples each violated the standard value of 40 kV for 11 and 33 kV OCBs respectively. This study indicated that the defective oil samples required filtration or complete replacement
Design and manufacture of four wheel tractor for medium size work rice farming
Get PDFIndonesia is located at the equator occupy areas north and south of its bearing atmosphere where about 270 million people live the land of very rich soil and are also rich in mineral sediment demanded heavily for today's technology including nickel, bauxite, lithium, and aurum with its close articles such as thin and uranium. So numerous heavy mining equipment works around the clock. Unfortunately, the other potential products of the rich soil were somehow neglected as the nation left such activities to its traditional practice by utilizing man and animal to cultivate the plantation, so that the productivity of the land from the surface is very minimal such that the average productivity of the soil only reach 27% compared to its champion in the developed countries per acre per year. The study on such low soil productivity is caused by two main problems, such that the lack of massive soil processing technology and low attraction for the worker to pursue their career in farming as more money is offered by the transportation sector being an online transport business. This article is a series published on the tractor research initiative that aims to provide a functional medium tractor powered by a 30 HP engine that can do the basic work of a tractor including lifting soil on the surface so that oxygen will fill up the soil and the mineral can reach the root of the plant life on it and kill the unfavorable weeds in the process. The article will discuss all functional elements of the tractor and necessary specifications from design, manufacturing, and final assembly. Further publications will involve optimal design and construction to head for the final products of its commercial endeavor
Experimental study of RDF-5 performance based on natural waste on fast pyrolysis process on the quality of the liquid smoke
Get PDFEnergy problems are one of the cases faced by almost all countries in the world. No longer found oil reserves in significant quantities causing problems in the energy sector. The world's energy needs continue to increase and become a global problem in the use of energy in various sectors resulting in an energy crisis. The use of waste-to-energy (WtE) technology is appropriate, considering that energy needs continue to increase along with the increasing amount of waste that is not managed and hurts the ecosystem. Refuse-derived fuel (RDF) is a waste management technique that converts waste into bio-solid fuel. RDF is produced from the mechanical separation of combustible and non-combustible fractions from waste. Utilizing RDF biomass from durian peel and sugar palm is one of the efforts to maximize the pyrolysis process in organic waste, increasing the combustion potential. Processing durian skin and sugar palm waste into RDF will maximize the potential of the combustion results, which can later facilitate testing. This study also aims to utilize sugar palm waste and durian peel to have a use value as an alternative fuel. This research was an experimental study, fast pyrolysis was employed by using 300 grams both in durian and sugar palm, and the temperature was varied from 400, 500, and 600 °C. The results showed that the test of liquid smoke RDF-5 sugar palm at a temperature of 400 °C at 112 mL and RDF-5 durian at 600 °C at 137 mL
Classification of six banana ripeness levels based on statistical features on machine learning approach
Get PDFBanana plants are often cultivated because they have many benefits. In producing, we need to maintain the quality of bananas by looking at banana ripeness levels before being distributed to markets. The level of banana ripeness is related to marketing reach. If the marketing reach is far, bananas should be harvested when the ripeness level of bananas is still relatively low. A system that can classify the degree of ripeness of bananas can help overcome this problem. In this study, our dataset includes 6 ripeness levels of bananas, more than in previous related studies. Furthermore, we use the statistical features extraction method to find the parameters that affect the level of banana ripeness, considering the texture and color of the banana peel which determines the level of ripeness visually. The extraction used is features extraction based on a histogram, then we employ four features, i.e., mean, skewness, energy descriptor, and smoothness, generated from the image dataset. In the next stage, we perform classification based on the features that have been obtained. In this study, we use Naive Bayes classifier and support vector machine (SVM) algorithms. Based on the result of this research, the best performance is the Naive Bayes classifier, with an accuracy is 86.67%, a weighted average precision of 83.55%, and a weighted average recall of 86.67%
Privacy of biofeedback human interfacing devices
Get PDFThe public and governmental focus have been shifted increasingly onto data and privacy due to Facebook’s standoff with Apple and several Nations’ Governments. An imperative for the discussion of data handling has been made, while Biofeedback human interfacing device (HID) companies such as CTRL-labs and Neuralink introduce new risks in the access, use, and control of personal health information. This paper combines the lexicon of digital self-extension with line drawing analysis to help visualize the industry use of personally identifiable information (PII). Through this analysis encapsulation methods of users' PII have been identified such that discussion of encrypting personal health information (PHI) can be facilitated through analogy. To reduce the likelihood that companies generating biometric hardware are subject to future legal action through laws analogous to European Privacy Law, it is in their best interest to be transparent with their users about data sharing, and educate them on how the companies encrypt their PHI. Should users consent to the use of biometric hardware, this process validates the user control of their own PHI.
Heart disease classification using various heuristic algorithms
Get PDFIn the health sector, the computer-aided diagnosis (CAD) system is a rapidly growing technology because medical diagnostic systems make a huge change as compared to the traditional system. Now a day huge availability of medical data and it needs a proper system to extract them into useful knowledge. Heart disease accounts to be the leading cause of death worldwide. Heuristic algorithms have been exposed to be operative in supporting making decisions and classification from the large quantity of data produced by the healthcare sector. Classification is a prevailing heuristic approach which is commonly used for classification purpose some heuristic algorithm predicts accurate result according to the marks whereas some others exhibit limited accuracy. This paper is used to categorize the attendance of heart disease with a compact number of aspects. Original, 13 attributes are involved in classifying heart disease. A reasonable analysis of these techniques was done to conclude how the cooperative techniques can be applied for improving prediction accuracy in heart disease. Four main classifiers used to construct heart disease prediction based on the experimental results demonstrate that support vector machine, artificial bee colony (ABC), bat algorithm, and memory-based learner (MBL) provide efficient results. The accuracy differs between 13 features and 8 features in the training dataset is 1.9% and in the validation, dataset is 0.92% of vector machine which is the most accurate heuristic algorithm.
The combined effect of zinc and honey to increase hemoglobin and albumin levels in white rats induced by low protein diet
Get PDFUndernutrition is a type of malnutrition. Malnutrition can endanger human life, particularly that of children. Honey, which has a high nutritional value, is one of the components that can be utilized to alleviate malnutrition. Zinc tablets, in addition to honey, are thought to boost hemoglobin (Hb) and albumin levels. Zinc, as an antioxidant and catalyst for biochemical events, aids in organ healing, particularly by restoring the role of enzymes in the process of food metabolism in the body. This study was conducted as an experimental study with a pretest-posttest design and a control group. Thirty Wistar rats were randomly distributed into six groups of five rats. The average Hb and albumin levels in the group of rats differ significantly, both in the single treatment and the combination of normal rats and malnutrition control. The groups that were given zinc and honey once a day had the greatest rise in hemoglobin, which was 0.5 g/dl (3.10%). The groups who received zinc and honey twice a day had the greatest rise in albumin (1.99 g/dl) (163.11%)
Risk management system for the monitoring and control of a small lettuce greenhouse
Get PDFThe management of agricultural risks is a scenario that allows knowing the probable factors that can affect a crop, knowing the variables allow designing control and mitigation of projects in case of any affectation, failure to do so may cause loss of production, the objective This research was the design and construction of a monitoring system for greenhouses that would allow to carry out a small-scale control of the environment, through knowledge of the behavior of the different agroecological variables that intervene in the process, allowing to generate different scenarios For the control of the different variables of nutrition, irrigation, and lighting, it was possible to carry out a set of experiments that showed that the system allows controlling the production in the established time, as well as the effect of the control on the quality of the vegetables
The k-nearest neighbor modelling by varying Mahalanobis and correlation in distance metric for agarwood oil quality classification
Get PDFAgarwood oil is well known for its unique scent and has many usages; as an incense, as ingredient in perfume, is burnt during religious ceremonies and is used in traditional medical preparation. Therefore, agarwood oil has high demand and is traded at different price based on its quality. Basically, the oil quality is classified by using physical properties (odor and color) and this technique has several problems: not consistent in term of accuracy. Thus, this study presented a new technique to classify the quality of agarwood oil based on chemical properties. The work focused on the k-nearest neighbor (k-NN) modelling by varying Mahalanobis and correlation in distance metric for agarwood oil quality classification. It involved of 96 samples of agarwood oil, data pre-processing (data randomization, data normalization, and data division to testing and training datasets) and the development of k-NN model. The training dataset is used to train the k-NN model, and the testing dataset is used to test the developed model. During the model development, Mahalanobis and correlation are varied in k-NN distance metric. The k-NN values are ranging from 1 to 10. Several performance criteria including resubstitution error (closs), cross-validation error (kloss) and accuracy were applied to measure the performance of the built k-NN model. All the analytical work was performed via MATLAB software version R2020a. The result showed that the accuracy of Mahalanobis distance metric has a better performance compared to correlation from k = 1 to k = 5 with the value of 100.00%. This finding is important as it proved the capabilities of k-NN modelling in classifying the agarwood oil quality. Not limited to that, it also contributed to the agarwood oil research area as well as its industry