Isbat Uzzin Nadhori, M. A. Rasyid, Ahmad Ahsan, M. A. Guna D, Bintang Refani Mauludi
{"title":"SmartFarm : IoT-Based Intelligent Plant Watering System","authors":"Isbat Uzzin Nadhori, M. A. Rasyid, Ahmad Ahsan, M. A. Guna D, Bintang Refani Mauludi","doi":"10.21817/ijet/2021/v13i6/211306001","DOIUrl":"https://doi.org/10.21817/ijet/2021/v13i6/211306001","url":null,"abstract":"","PeriodicalId":14142,"journal":{"name":"International journal of engineering and technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80857430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Disruptive Innovation in “RASBOARD” Vehicle in Sports Practice in DOWNHILL Based in New Control System in Direction and Brakes","authors":"Consuelo Cano","doi":"10.7763/ijet.2021.v13.1192","DOIUrl":"https://doi.org/10.7763/ijet.2021.v13.1192","url":null,"abstract":"The purpose of this thesis is to apply an action research methodology used to guide a sports invention towards sports innovation, and to be presented as a new sport. Although the stage developed in R + D was very successful, these results imply a greater differentiated effort as it is R + D + i. Thus, two central objectives were proposed: a) to identify the target population and the sports context that encourage research, b) to propose on the use of strategies to organize and promote innovation. The result of the investigation offers a new solution, registered as “Rasboard”. The thesis proposes strategies for innovation in downhill sports practice. The same ones that can generate the opening of a new market in a new recreational and sports activity.","PeriodicalId":14142,"journal":{"name":"International journal of engineering and technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89357768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Neural Network (ANN) Approach to Predict LWST Values from Friction and Texture Measurements","authors":"M. Khasawneh, M. Aljarrah, Nael Alsaleh","doi":"10.7763/ijet.2021.v13.1191","DOIUrl":"https://doi.org/10.7763/ijet.2021.v13.1191","url":null,"abstract":"The paper aims to find whether friction values namely skid numbers obtained by the Locked Wheel Skid Trailer (LWST) device can be predicted using values obtained by the Dynamic Friction Tester (DFT) and the Circular Texture Meter (CTM). The last two measure the coefficient of dynamic friction (called DFTx) at different speeds (labeled x) and the Mean Profile Depth (MPD), they also measure the International Friction Index (IFI) parameters F60 and Sp. Artificial Neural Network (ANN) software was used to investigate the relationships. Twelve (12) different models were proposed with different input parameters and the best model giving the highest coefficient of determination (R2) was discussed in this paper. The results show that the most influential factors on LWST friction values are MPD, DFT0, DFT50, and DFT64 and MPD was the strongest among them. In addition, results show that the ANN approach is very efficient in predicting the LWST friction values for both training and validation sets with R2 values of 79% and 83%, respectively. It was also shown that the IFI parameters were relatively less influential on LWST values than DFT and MPD measurements.","PeriodicalId":14142,"journal":{"name":"International journal of engineering and technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75227665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Carvalho, Leonardo Ferreira, Daniel Castro Silva
{"title":"A Study in Search Pattern Efficiency Using Under-Actuated Aircraft","authors":"T. Carvalho, Leonardo Ferreira, Daniel Castro Silva","doi":"10.7763/ijet.2021.v13.1190","DOIUrl":"https://doi.org/10.7763/ijet.2021.v13.1190","url":null,"abstract":"Area coverage algorithms or Search Patterns have always been useful in many real life problems such as search and rescue missions, crime prevention, forest fire detection and many others. This means knowing which algorithms to apply in the different cases in order to obtain the best results is immensely valuable. The goal of this paper is to evaluate mission performance and with it discover the best approach for various possible problems. In order to achieve this goal, multiple metrics were created to have some indicators that can be used to calculate search pattern performance. Various simulations were conducted, with different strategies and parameters, to compare distinct approaches to the various missions. These experiments consisted in applying different search patterns in a search mission with distinct delimitation areas and parameters. The results obtained allow the user to easily adopt the most efficient strategy in the scope of the simulations executed. For example, the larger the ratio between height and width of the delimitation area, the better the Parallel Track pattern is, when compared to the others. On the other hand, the closer the area is to a circle, the better the Spiral search pattern is, when compared to the others.","PeriodicalId":14142,"journal":{"name":"International journal of engineering and technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80775452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research of Spherical Capsule Feeding System in Hydraulic Pipelines","authors":"D. Ulusarslan","doi":"10.21817/ijet/2021/v13i3/211303009","DOIUrl":"https://doi.org/10.21817/ijet/2021/v13i3/211303009","url":null,"abstract":"Feeding the material to be transported in the hydraulic pipelines to the system is a subject open to research. The shape, size and density of the material gain importance in the selection of feeding systems. Finding the pressure drops that occur in the flow of spherical ice capsules with water is the basis of the research. However, before the measurements were made, preliminary research was carried out on feeding the capsules to the system during the installation of the experimental set-up. In the experimental study with solid particles with the diameter ratios (0.8) and densities (960 kg/m3) with smaller dimensions (d=0.014m), a pipe construction was obtained in which the solid particles are easily fed into the hydraulic pipeline. Experimental study revealed that lower than predicted pressures occur at the point where solid particles are fed into the pipe. This result means a greater pressure drop than the pressure drops obtained in the venturimeter zone with the same diameter ratio. In this article includes a step-by-step method and a sample pipe geometry for studies that require a low pressure zone in hydraulic pipelines. The pipe geometry designed in this study will form a model for the supply systems in the pipelines. The low pressure region is provided with a pipe and flow arrangement without consuming energy.","PeriodicalId":14142,"journal":{"name":"International journal of engineering and technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78956839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of seismic capacity and response according to the nonlinear modeling approach of members in steel moment frames","authors":"Alireza Kian Mehr","doi":"10.21817/ijet/2021/v13i3/211303010","DOIUrl":"https://doi.org/10.21817/ijet/2021/v13i3/211303010","url":null,"abstract":"In this paper, the aim is to evaluate the seismic behavior of steel momment frames by nonlinear static analysis and incremental dynamic analysis. In this regard, 5 and 10 story frames in both intermediate and special ductility have been used. Since the type of sections and elements used in modeling are among the parameters that affect the behavior of the structure, in this study, which was performed using Opensees software, fiber sections were used for two types of beam elements. Non-linear column (distributed plasticity) and articulated beam element (concentrated plasticity) are used. The results of the analysis show that the ratio of the collapse capacity of the frames to each other varies between 1% to 6%. On the other hand, by deepening the research on one of the frames, it was shown that the stiffness ratio between the end springs and the middle member will affect the difference between the collapse capacity shown in the analysis.","PeriodicalId":14142,"journal":{"name":"International journal of engineering and technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72953306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Mohamed, Idil M. Elmi, A. D. Egueh, Abdourachid I. Igueh, D. H. Daher
{"title":"Design, Construction and Experimental Study of a Solar Still for Brackish Water Purification under Djiboutian Climate","authors":"M. Mohamed, Idil M. Elmi, A. D. Egueh, Abdourachid I. Igueh, D. H. Daher","doi":"10.21817/ijet/2021/v13i3/211303006","DOIUrl":"https://doi.org/10.21817/ijet/2021/v13i3/211303006","url":null,"abstract":"A single sloped solar still were designed and fabricated to operate under Djibouti city weather condition during the period April-May 2019. In this study, a single slope solar still has been constructed from materials available on the local market. Series of experiments were carried out on solar still using brackish water. Ambient temperature, water temperature in basin, absorber plate temperature, glass cover temperature and vapor temperature were measured along with the hourly water production. This study has revelead that the vapor temperature is always above that the others temperatures for all the four days of experiments. Then, the effect of water amount in the basin on productivity of solar still was investigated using different amount of water 6 L, 8 L, 10 L and 12 L. The experimental results show that the total accumulated distillate output for the single slope solar still is 2490 mL, 2390 mL, 2240 mL and 2015 mL, respectively. However, it is observed that with increase in basin water amount distillate water production decreases. On the other hand, the effect of wind speed on the daily productivity of solar still is evaluated. Experimental investigations show that the cumulative productivity increases when the wind speed average increase. Finally, water quality analyses were conducted before and after the experiments. The average analysis results obtained showed a removal efficiency of 98.16%, 98.42%, 97.43% and 95.39% for TDS, electrical conductivity, hardness water and chloride, respectively. It was also observed that data obtained of the product water were within the normal range prescribed by World Health Organization (WHO) standards.","PeriodicalId":14142,"journal":{"name":"International journal of engineering and technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82689678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Syahrial Rukmana, A. Rakhmatsyah, Aulia Arif Wardana
{"title":"Mastitis Detection System in Dairy Cow Milk based on Fuzzy Inference System using Electrical Conductivity and Power of Hydrogen Sensor Value","authors":"Muhammad Syahrial Rukmana, A. Rakhmatsyah, Aulia Arif Wardana","doi":"10.24003/EMITTER.V9I1.592","DOIUrl":"https://doi.org/10.24003/EMITTER.V9I1.592","url":null,"abstract":"This study build a system for screening method to detect mastitis in dairy cow milk using Electrical Conductivity (EC) and Power of Hydrogen (pH) sensor. The value of EC and pH sensor is analyze using fuzzy logic to clarify the truth value between it. Mastitis in cows can cause loss and decrease milk production and quality in the dairy farmer industry. Currently, detecting mastitis in cow’s milk still done manually by looking at the color change of the milk and analyzing the cow behavior. This paper has designed a mastitis detection system using the Mamdani type fuzzy inference system and the final result will be displayed on an Android-based smartphone. From the test result, it was found that the system has 79.2% detection accuracy value. This system is suitable for alternative screening method that used to detect mastitis in dairy cow milk.","PeriodicalId":14142,"journal":{"name":"International journal of engineering and technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79049776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of Tree Method, Support Vector Machine, Naïve Bayes, and Logistic Regression on Coffee Bean Image","authors":"R. R. Waliyansyah, U. H. Hasbullah","doi":"10.24003/EMITTER.V9I1.536","DOIUrl":"https://doi.org/10.24003/EMITTER.V9I1.536","url":null,"abstract":"Coffee is one of the many favorite drinks of Indonesians. In Indonesia there are 2 types of coffee, namely Arabica & Robusta. The classification of coffee beans is usually done in a traditional way & depends on the human senses. However, the human senses are often inconsistent, because it depends on the mental or physical condition in question at that time, and only qualitative measures can be determined. In this study, to classify coffee beans is done by digital image processing. The parameters used are texture analysis using the Gray Level Coocurrence Matrix (GLCM) method with 4 features, namely Energy, Correlation, Homogeneity & Contrast. For feature extraction using a classification algorithm, namely Naïve Bayes, Tree, Support Vector Machine (SVM) and Logistic Regression. The evaluation of the coffee bean classification model uses the following parameters: AUC, F1, CA, precision & recall. The dataset used is 29 images of Arabica coffee beans and 29 images of Robusta beans. To test the accuracy of the model using Cross Validation. The results obtained will be evaluated using the confusion Matrix. Based on the results of testing and evaluation of the model, it is obtained that the SVM method is the best with the value of AUC = 1, CA = 0.983, F1 = 0.983, Precision = 0.983 and Recall = 0.983.","PeriodicalId":14142,"journal":{"name":"International journal of engineering and technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72611022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}