Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
In the 21st century, there are many farmers and rural area residents still facing poor irrigation and livestock watering system due to the high cost of electricity and lack of power supply. To solve this problem, an irrigation system using solar power with integrated remote communication system is proposed to meet these needs that are versatile, cost-efficient, and both financially and environmentally sustainable. A portable solar operated water pump is a device uses for irrigation system such as watering plantation and for daily household activities. The main components for this device are solar panel, electrical water pump, and microcontroller where all these components are connected with each other and can be controlled through a communication system. In this paper, the fabrication process and integration of communication system using a global system of mobile communication (GSM) in development of this device is explained in detail. From the performance evaluation, this device could supply about 3 liters per minute for a farm with area of 300 to 400 m2. In agricultural activity, the farmer does not need to be physically at the farm to operate this device, and the watering process still can be done, and this can avoid the crops from dying. This study could be a great potential in the smart agricultural activities especially in managing irrigation systems
The drilling of oil and gas wells is associated with the formation of a large number of drill cuttings that have a significant toxic effect on the environment. The degree of toxic effect depends on their content and properties, which are mainly determined by the characteristics of the drilled rock. The article presents the technology of drilling mud utilization with obtaining inert building material that complies with established standards, which is environmentally and economically viable. Research and measure The exercises were carried out according to GOST methods. According to the results of measuring the grain composition, the control sample was assigned to loose sand, and the inert building materials obtained were classified as cohesive sand. Building materials had a higher density compared to the control sample, which was associated with a decrease in the moisture content of the material, as well as with the addition of natural sorbents. petroleum products of all studied samples is insignificant. The pH index in materials using gypsum had the lowest values of 8.90 pH. Materials using quick lime had a maximum result of 11.60. The maximum concentration of sulfates was observed with gypsum, which is due to an increase in the products of the metabolic reaction. All the samples cited do not exceed 1,500 Bq / kg - the norms for the content of natural radioactive nuclides in building materials. In general, all the obtained processing options comply with the requirements for building materials, are safe from the point of view of environmental friendliness and can be used for their intended purpose. The residual oil content of all the samples studied is negligible. The pH index in gypsum-based materials had the lowest pH values of 8.90. Materials using quick lime had a maximum result of 11.60. The maximum concentration of sulfates was observed when using gypsum, which is due to an increase in the products of the exchange reaction. All of the samples cited do not exceed 1500 Bq / kg - the norms for the content of natural radioactive nuclides in building materials. In general, all the processing options obtained comply with the requirements for building materials, are environmentally friendly and can be used for their intended purpose. The residual oil content of all the samples studied is insignificant. The pH index in materials using gypsum had the lowest values of 8.90 pH. Materials using quick lime had a maximum result of 11.60. The maximum concentration of sulfates was observed when using gypsum, which is due to an increase in the products of the exchange reaction. In general, all the obtained processing options comply with the requirements for building materials, are safe from the point of view of environmental friendliness and can be used for their intended purpose
This paper mainly focuses on the recent advances in the semi-analytical approximated methods for solving a system of Volterra integro-differential equations of the second kind by using Adomian Decomposition Method (ADM), Variational Iteration Method (VIM) and Homotopy Perturbation Method (HPM). Convergence analysis of the exact solution of the proposed methods is established. To illustrate the methods, an example is presented
Speaker recognition is a research topic that is still interesting and challenging. Various problems such as noise problems, poor performance, short duration, spoofing and inconsistency are problems that need to be resolved immediately. The researchers conducted research with various models from traditional methods such as the Gaussian Mixture Model (GMM), Support Vector Machine (SVM) and Hidden Markov Model (HMM) to the Deep Learning methods using Deep Neural Network (DNN) and Convolutional Neural Network (CNN). In addition, various hybrid deep learning methods are also used. Various papers that use these methods are difficult to understand, especially when compared between one method with another to obtain novelty and direction of research on speaker recognition. Systematic Literature Review (SLR) is helpful in identifying and interpreting various findings in a field of research in answering the research questions that have determined. This paper uses SLR in identifying research trends,datasets, feature extraction ,classification methods and evaluation techniques used in speaker recognition using deep learning. Results of the SLR discussion are 82 major study journals from 2011 to 2019 show that 20% of research studies focus on speaker verification topics, 11.5% each at Speaker Recognition in Noisy Conditions, Speaker Emotion Recognition and Short and Mismatch Utterance Duration. Research in speaker recognition 90% used public datasets and 10% used private datasets. The MFCC method is a method often used in feature extraction although there are I-vector and X-Vector methods that are starting to be used in deep learning. Deep Neural Network is a classification method that is often used in speaker recognition. 31% of the evaluation techniques that are often used are Equal Error Rate, 29% used the Word Error Rate and 40% used others method such as Accuracy, Root Mean Square Error (RMSE), Signal to Noise Ratio (SNR), Character Error Rate (CER) , Phone Error Rate (PER) and Speech Separation Performance (SSP)
The expansive soil condition will be very complicate for the engineers to make the material mix over it, however it causes a damage risk for the different rigid construction over it due to the soil expanding and shrinking that is very affected by the water content and soil layer. This research intends to investigate the effect of increasing the cement material to the process of soil expanding and shrinking. The laboratory work of index property test is needed for knowing and classifying the soil type that included the CH class based on the AASHTO classification system including the A-7-6. Soil under this class condition is generally very expansive. The measurement of Atterberg limit, Compaction, CBR, and UCS test are used for evaluating the soil properties, This researh make a trial to know the level of Compaction, CBR, UCS of the expansive soil characteristic that is mixed with the different product of cement with the optimal percentage composition. The result shows that the level of expansive soil stabilization is increasing the strength
