– The biggest problem in agriculture is the insufficient amount of water. Sowing cannot be done in the fields due to water scarcity. Some fields become barren land due to excessive irrigation. For these reasons, it is important to use water wisely. In the study, irrigation of tomatoes seed is controlled with fuzzy logic. The use of water is made automatically according to the humidity, temperature and soil moisture of the air. The study was carried out in two stages. First stage; The irrigation system is designed in the MATLAB program. For this, temperature, humidity and soil moisture were used as three inputs. Irrigation time was calculated as output. All inputs and outputs are set to low, medium and high. In the second stage; equal amounts of tomatoes seeds were planted in two separate containers. Normal irrigation was done in the first pot. The control of irrigation in the second bowl was made with fuzzy logic. All data are shown on the screen and recorded for 1 minute. As a result of the study, 22500 milliliters of water were used in normal irrigation, and 10410 milliliters of water were used in a fuzzy logic-controlled circuit. As a result, a water saving of 53.77% was achieved. Arduino microcontroller is used for control. The code was written for the fuzzy logic control circuit simulated in the Arduino microcontroller MATLAB program to work. At the same time, temperature and humidity sensors are connected to the Arduino microcontroller. Incoming data is remotely monitored and controlled by a modem connected to the microcontroller. When the records in the database are examined, 83% energy was saved with lighting algorithm and energy flow control algorithms.
{"title":"Increasing Water Efficiency by Using Fuzzy Logic Control in Tomatoes Seedling Cultivation","authors":"S. Kesler, Abdil Karakan, Y. Oğuz","doi":"10.36287/ijmsit.6.1.66","DOIUrl":"https://doi.org/10.36287/ijmsit.6.1.66","url":null,"abstract":"– The biggest problem in agriculture is the insufficient amount of water. Sowing cannot be done in the fields due to water scarcity. Some fields become barren land due to excessive irrigation. For these reasons, it is important to use water wisely. In the study, irrigation of tomatoes seed is controlled with fuzzy logic. The use of water is made automatically according to the humidity, temperature and soil moisture of the air. The study was carried out in two stages. First stage; The irrigation system is designed in the MATLAB program. For this, temperature, humidity and soil moisture were used as three inputs. Irrigation time was calculated as output. All inputs and outputs are set to low, medium and high. In the second stage; equal amounts of tomatoes seeds were planted in two separate containers. Normal irrigation was done in the first pot. The control of irrigation in the second bowl was made with fuzzy logic. All data are shown on the screen and recorded for 1 minute. As a result of the study, 22500 milliliters of water were used in normal irrigation, and 10410 milliliters of water were used in a fuzzy logic-controlled circuit. As a result, a water saving of 53.77% was achieved. Arduino microcontroller is used for control. The code was written for the fuzzy logic control circuit simulated in the Arduino microcontroller MATLAB program to work. At the same time, temperature and humidity sensors are connected to the Arduino microcontroller. Incoming data is remotely monitored and controlled by a modem connected to the microcontroller. When the records in the database are examined, 83% energy was saved with lighting algorithm and energy flow control algorithms.","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131284489","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}
Extended Abstract Industrial systems are expected to operate with high performance and continuity. Failures that may occur in the parts that make up the working system can lead to production losses. The necessity of keeping the total equipment efficiency high in all sectors served by industrial systems necessitates maintenance work. In order to avoid production and labor losses due to malfunctions, it is necessary to plan maintenance without causing downtime in the systems. The predictive maintenance method, which has a strong place in maintenance planning processes, stands out in terms of not performing unnecessary maintenance and avoiding failure due to lack of maintenance. In this paper, the stator current, vibration, stator winding temperature and bearing housing temperature values obtained during the operating conditions of an induction motor are collected from the field with the help of a PLC, time-labeled and written to a database and then used both to generate test data and to determine membership function values. Based on the data collected from the asynchronous motor operating in the field, motor and instrument label values and expert opinions, a fuzzy logic based inference system was designed with the "Matlab Fuzzy Toolbox" application. The "motor
{"title":"Asenkron Motorlu Sistemde Bulanık Mantık Çıkarımı İle Kestirimci Bakım","authors":"Erkan Sındır, Vedat Özkaner","doi":"10.36287/ijmsit.6.2.181","DOIUrl":"https://doi.org/10.36287/ijmsit.6.2.181","url":null,"abstract":"Extended Abstract Industrial systems are expected to operate with high performance and continuity. Failures that may occur in the parts that make up the working system can lead to production losses. The necessity of keeping the total equipment efficiency high in all sectors served by industrial systems necessitates maintenance work. In order to avoid production and labor losses due to malfunctions, it is necessary to plan maintenance without causing downtime in the systems. The predictive maintenance method, which has a strong place in maintenance planning processes, stands out in terms of not performing unnecessary maintenance and avoiding failure due to lack of maintenance. In this paper, the stator current, vibration, stator winding temperature and bearing housing temperature values obtained during the operating conditions of an induction motor are collected from the field with the help of a PLC, time-labeled and written to a database and then used both to generate test data and to determine membership function values. Based on the data collected from the asynchronous motor operating in the field, motor and instrument label values and expert opinions, a fuzzy logic based inference system was designed with the \"Matlab Fuzzy Toolbox\" application. The \"motor","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133766748","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}
Merve Ceyhan, Yusuf Kartal, Sinem Bozkurt Keser, Savas Okyay, N. Adar
– Education has been reshaping with the increasing use of the Internet and creation various online models. Lifelong learning has been evolving with each passing day. Nevertheless, Covid-19 has caused necessary changes in the education field and affected all people, from students to instructors. However, students’ concerns about remote education have emerged during this forced circumstance. This unintentional situation directly hit the quality of education. In this study, the last ten years of education were interpreted through department statistics. The effect of Covid-19 on students from the ESOGU Computer Engineering Department was investigated by considering the activity status, success rates, and letter grades along with course statistics within remote education. The statistical findings can play a significant role in automation and suggestion systems design. In addition, it has been explicated that compulsory transitions in every field can have great impacts and that it is necessary to be prepared for such conditions in advance, especially in the field of education.
{"title":"Explication of the Remote Education Through Department Statistics: ESOGU-CENG Case Study","authors":"Merve Ceyhan, Yusuf Kartal, Sinem Bozkurt Keser, Savas Okyay, N. Adar","doi":"10.36287/ijmsit.6.1.71","DOIUrl":"https://doi.org/10.36287/ijmsit.6.1.71","url":null,"abstract":"– Education has been reshaping with the increasing use of the Internet and creation various online models. Lifelong learning has been evolving with each passing day. Nevertheless, Covid-19 has caused necessary changes in the education field and affected all people, from students to instructors. However, students’ concerns about remote education have emerged during this forced circumstance. This unintentional situation directly hit the quality of education. In this study, the last ten years of education were interpreted through department statistics. The effect of Covid-19 on students from the ESOGU Computer Engineering Department was investigated by considering the activity status, success rates, and letter grades along with course statistics within remote education. The statistical findings can play a significant role in automation and suggestion systems design. In addition, it has been explicated that compulsory transitions in every field can have great impacts and that it is necessary to be prepared for such conditions in advance, especially in the field of education.","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133963219","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}
– Given that the definition of the multi-objective optimization problem is raised when number of objectives is increased in number at the optimization problem, where not only the number of objectives but also the computational resources which are needed to solve the problem, is also more desired. Therefore, novel approaches had required to solve multi-objective optimization problem in a reasonable time. One of this novel approach is utilization of the decomposition method with the evolutionary algorithm/operator. This algorithm was called multi-objective evolutionary algorithm based on decomposition (MOEA/D). Later on, variants have been proposed to improve the performance of the MOEA/D algorithm. However, a general comparison between these variants has needed for demonstrate the performance of these algorithm. For this reason, in this research the variants of MOEA/D algorithms have implemented on benchmark problems (DTLZ and MaF) and the performances has compared with each other. Two metrics had selected to evaluate/compare the performances of the variants. The metrics are IGD and Spread metrics. The results at the end of the implementations suggest that adaptive weighting idea is the most promising idea to increase the performance of the MOEA/D algorithm.
{"title":"Comparison of MOEA/D Variants on Benchmark Problems","authors":"Tolga Altinoz","doi":"10.36287/ijmsit.6.1.11","DOIUrl":"https://doi.org/10.36287/ijmsit.6.1.11","url":null,"abstract":"– Given that the definition of the multi-objective optimization problem is raised when number of objectives is increased in number at the optimization problem, where not only the number of objectives but also the computational resources which are needed to solve the problem, is also more desired. Therefore, novel approaches had required to solve multi-objective optimization problem in a reasonable time. One of this novel approach is utilization of the decomposition method with the evolutionary algorithm/operator. This algorithm was called multi-objective evolutionary algorithm based on decomposition (MOEA/D). Later on, variants have been proposed to improve the performance of the MOEA/D algorithm. However, a general comparison between these variants has needed for demonstrate the performance of these algorithm. For this reason, in this research the variants of MOEA/D algorithms have implemented on benchmark problems (DTLZ and MaF) and the performances has compared with each other. Two metrics had selected to evaluate/compare the performances of the variants. The metrics are IGD and Spread metrics. The results at the end of the implementations suggest that adaptive weighting idea is the most promising idea to increase the performance of the MOEA/D algorithm.","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117134165","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":"Üretken Yapay Zekâ","authors":"Melisa Gözet, Ulaş Filiz, A. E. Yilmaz","doi":"10.36287/ijmsit.7.1.32","DOIUrl":"https://doi.org/10.36287/ijmsit.7.1.32","url":null,"abstract":"","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124252923","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}
: The aim of this study includes the re-examination of the molecule of 2-(2-iodophenyl)isoindolin-1,3-dione, C 14 H 8 INO 2 [1], whose structure solution was carried out by x-ray diffraction, by computational chemistry method. Theoretical calculations of the molecule were made using Density Functional Theory (DFT) and Lee-Yang-Par, the B3LYP method, which is a 3-parameter Becke mixed model with correlation energy, and the 6-311++G(d,p) fundamental basis set. The boundary orbitals of the molecule and their derived parameters, Mulliken and Natural Charge Analysis (NPA), Molecular Electrostatic Potential (MEP) maps were determined. In addition, the electrophilic and nucleophilic regions of the molecule were determined by performing Hirsfeld Surface analysis of the molecule.
本研究的目的包括用计算化学方法对2-(2-碘苯基)异吲哚林-1,3-二酮，c14 H 8 INO 2[1]分子进行重新检验，其结构解是用x射线衍射进行的。利用密度泛函理论(DFT)、Lee-Yang-Par、B3LYP方法(具有相关能的3参数Becke混合模型)和6-311++G(d,p)基本基集对分子进行理论计算。确定了分子的边界轨道及其衍生参数、Mulliken和自然电荷分析(NPA)图、分子静电势(MEP)图。此外，通过对分子进行Hirsfeld表面分析来确定分子的亲电和亲核区域。
{"title":"2-(2- İyodofenil)isoindolin-1,3-dion) Molekülünün Hesaplamalı Kimya Yöntemiyle Yapısal Analizi","authors":"Gonca Özdemir Tarı, Güneş Demirtaş","doi":"10.36287/ijmsit.6.1.91","DOIUrl":"https://doi.org/10.36287/ijmsit.6.1.91","url":null,"abstract":": The aim of this study includes the re-examination of the molecule of 2-(2-iodophenyl)isoindolin-1,3-dione, C 14 H 8 INO 2 [1], whose structure solution was carried out by x-ray diffraction, by computational chemistry method. Theoretical calculations of the molecule were made using Density Functional Theory (DFT) and Lee-Yang-Par, the B3LYP method, which is a 3-parameter Becke mixed model with correlation energy, and the 6-311++G(d,p) fundamental basis set. The boundary orbitals of the molecule and their derived parameters, Mulliken and Natural Charge Analysis (NPA), Molecular Electrostatic Potential (MEP) maps were determined. In addition, the electrophilic and nucleophilic regions of the molecule were determined by performing Hirsfeld Surface analysis of the molecule.","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128010690","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":"Integrating Ontologies and Relational Databases for An Improved Data Access","authors":"Aytuğ Türkmen, Özgü Can","doi":"10.36287/ijmsit.6.2.202","DOIUrl":"https://doi.org/10.36287/ijmsit.6.2.202","url":null,"abstract":"","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126114690","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}
– Convolutional Neural Networks (CNN) architectures have been increasingly well-known for image processing applications such as object detection, and remote sensing. Some applications like these systems need to adopt CNN methods for real-time implementation. Embedded devices like Field Programmable Gate Arrays (FPGA) technologies are a favorable alternative to implementing CNN-based algorithms. However, FPGA has some drawbacks such as limited resources and bottlenecks, it is difficult and so crucial to map the whole CNN that has a high number of layers, on FPGA without any optimization. Therefore, hardware optimization techniques are compulsory. In this study, an FPGA-based CNN architecture using high-level synthesis (HLS) is demonstrated, and a synthesis report is created for Xilinx Zynq-7000 xc7z020-clg484-1 target FPGAs. By implementing the CNN architecture on an FPGA platform, the implemented architecture has been fastened. To improve the throughput, the proposed design is optimized for convolutional layers. The most important contribution of this study is to perform optimization on the convolution layer by unrolling kernels and input feature maps and examine the effects on throughput, latency, and hardware resources. In this study, throughput is 15.6 GOP/s for the first convolution layer. With the proposed method in the study, approximately x2.6 acceleration in terms of latency and throughput was achieved compared to the baseline design.
{"title":"Efficient Hardware Optimization for CNN","authors":"Seda Güzel Aydın, H. Ş. Bilge","doi":"10.36287/ijmsit.6.1.38","DOIUrl":"https://doi.org/10.36287/ijmsit.6.1.38","url":null,"abstract":"– Convolutional Neural Networks (CNN) architectures have been increasingly well-known for image processing applications such as object detection, and remote sensing. Some applications like these systems need to adopt CNN methods for real-time implementation. Embedded devices like Field Programmable Gate Arrays (FPGA) technologies are a favorable alternative to implementing CNN-based algorithms. However, FPGA has some drawbacks such as limited resources and bottlenecks, it is difficult and so crucial to map the whole CNN that has a high number of layers, on FPGA without any optimization. Therefore, hardware optimization techniques are compulsory. In this study, an FPGA-based CNN architecture using high-level synthesis (HLS) is demonstrated, and a synthesis report is created for Xilinx Zynq-7000 xc7z020-clg484-1 target FPGAs. By implementing the CNN architecture on an FPGA platform, the implemented architecture has been fastened. To improve the throughput, the proposed design is optimized for convolutional layers. The most important contribution of this study is to perform optimization on the convolution layer by unrolling kernels and input feature maps and examine the effects on throughput, latency, and hardware resources. In this study, throughput is 15.6 GOP/s for the first convolution layer. With the proposed method in the study, approximately x2.6 acceleration in terms of latency and throughput was achieved compared to the baseline design.","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116158285","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}
Due to the limited reserves of fossil fuels such as oil, coal and natural gas in our country and environmental and social constraints
由于我国石油、煤炭、天然气等化石燃料的储量有限以及环境和社会的制约
{"title":"Enerji Depolama Teknolojilerinin İncelenmesi ve Karşılaştırmalı Analizi","authors":"Cem Emeksiz, B. Kara","doi":"10.36287/ijmsit.6.2.134","DOIUrl":"https://doi.org/10.36287/ijmsit.6.2.134","url":null,"abstract":"Due to the limited reserves of fossil fuels such as oil, coal and natural gas in our country and environmental and social constraints","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130623192","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}
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