International Journal of Applied Mathematics Electronics and Computers最新文献_第3页

Radar range profile processing using Green’s function 雷达距离轮廓处理使用格林的功能

International Journal of Applied Mathematics Electronics and Computers Pub Date : 2022-08-06 DOI: 10.18100/ijamec.1058257

R. F. Cinar, Fatih Kocadag, A. Demirkol

引用次数: 0

A Line Fitting Algorithm: Linear Fitting on Locally Deflection (LFLD) 一种线性拟合算法:局部偏转线性拟合(LFLD)

International Journal of Applied Mathematics Electronics and Computers Pub Date : 2022-06-30 DOI: 10.18100/ijamec.1080843

Mahmut Sami Yasak, Muhammed Said Bi̇lgehan

{"title":"A Line Fitting Algorithm: Linear Fitting on Locally Deflection (LFLD)","authors":"Mahmut Sami Yasak, Muhammed Said Bi̇lgehan","doi":"10.18100/ijamec.1080843","DOIUrl":"https://doi.org/10.18100/ijamec.1080843","url":null,"abstract":"The main motivation of the study is to prevent and optimize the deviations in linear connections with complex calculations related to the previous and next steps. This purpose is used for more stable detection and therefore segmentation of object edge/corner regions in Quality Control Systems with Image Processing and Artificial Intelligence algorithms produced by authors within Alpplas Industrial Investments Inc. The dataset used in this area was originally obtained as a result of the edge approaches of the plastic panels manufactured by Alpplas Inc., extracted from the images taken from the AlpVision Quality Control Machine patented with this research. The data consists entirely of the pixel values of the edge points. Dispersed numeric data sets have quite changeable values, create high complexity and require the computation of formidable correlation. In this study, dispersed numeric data optimized by fitting to linearity. The LFLD (Linear Fitting on Locally Deflection) algorithm developed to solve the problem of linear fitting. Dispersed numeric data can be regulated and could be rendered linearly which is curved line smoothing, or line fitting by desired tolerance values. The LFLD algorithm organizes the data by creating a regular linear line (fitting) from the complex data according to the desired tolerance values.","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117182873","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}

引用次数: 0

Classification of Wheat Rootstock and Their Hybrids According to Color Features by Machine Learning Algorithms 基于颜色特征的小麦砧木及其杂种的机器学习分类

International Journal of Applied Mathematics Electronics and Computers Pub Date : 2022-06-06 DOI: 10.18100/ijamec.1098276

Mesut Ersin Sönmez, K. Sabanci, N. Aydın

{"title":"Classification of Wheat Rootstock and Their Hybrids According to Color Features by Machine Learning Algorithms","authors":"Mesut Ersin Sönmez, K. Sabanci, N. Aydın","doi":"10.18100/ijamec.1098276","DOIUrl":"https://doi.org/10.18100/ijamec.1098276","url":null,"abstract":"Accurate classification of wheat varieties has a large economic market in the world is enabled both high income in the market and the development of new fertile hybrids for changing weather conditions due to global warming. In this study, instead of using the conventional classification method, we extracted color features of the 1400 durum wheat grain samples, consisting of Ahmetbugdayi, Cesare and their hybrids BC1F6 and BC2F5, by using image processing techniques. For the color features, every twelve channels of four different color spaces were used and square-shaped samples were taken from the center of all the grains in these channels of images. the averages of the channel pixels values were used as color features. Then six different machine learning algorithms were employed for the classification task. ANN, SVM and DT models achieved more than 0.99 accuracies. On the other hand, k-NN and RF model reached approximately 0.99 accuracies. According to our results, in addition to different wheat varieties, also sibling hybrid seeds can be classified with high accuracy according to their color characteristics by the methods we proposed.","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126943833","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}

引用次数: 0

Selçuk weather station and web-mobile applications 自助式气象站和网络移动应用程序

International Journal of Applied Mathematics Electronics and Computers Pub Date : 2022-06-06 DOI: 10.18100/ijamec.1058129

F. Basçiftçi, Erdem Agbahca, K. Uyar, Zuleyha Yilmaz Acar, Burak Tezcan

引用次数: 0

Arduino Based System Design for Measuring Heart Rate and Body Temperature 基于Arduino的心率和体温测量系统设计

International Journal of Applied Mathematics Electronics and Computers Pub Date : 2022-03-31 DOI: 10.18100/ijamec.1029843

Adnan M.A SHAKARJİ, Adem Gölcük

{"title":"Arduino Based System Design for Measuring Heart Rate and Body Temperature","authors":"Adnan M.A SHAKARJİ, Adem Gölcük","doi":"10.18100/ijamec.1029843","DOIUrl":"https://doi.org/10.18100/ijamec.1029843","url":null,"abstract":"The aim of this study is to develop a multi-sensor and low-cost biosensor system using Arduino Uno microcontroller board. With this system, heart rate and body temperature can be measured digitally. In this way, the vital values of those with health problems will be monitored regularly, and sudden changes in vital values will be detected immediately. While developing the system, Arduino Uno control card, heart rate sensor and temperature sensor were used. In addition, a software sensitive to detecting changes in heart rate and body temperature has been developed. The system created is open to future additions and improvements. The data obtained through the sensors on the system can be easily tracked by transferring them to the computer over wi-fi. At the same time, it can be improved by placing more sensors in the system according to the purpose of use. As a result of the tests, it has been seen that the system successfully transmits the information received from the sensors to the users in the desired time and gives an audible warning at the determined critical values. Thanks to this system, vital changes in heart rate and body temperature can be accessed remotely and instantly, and it is thought that this will contribute to the field of medicine.","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128721976","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}

引用次数: 0

A Product Production and Transfer Application with Blockchain 基于区块链的产品生产和转移应用

International Journal of Applied Mathematics Electronics and Computers Pub Date : 2022-03-31 DOI: 10.18100/ijamec.1084637

Hazim Iscan, Ömer Çakici

{"title":"A Product Production and Transfer Application with Blockchain","authors":"Hazim Iscan, Ömer Çakici","doi":"10.18100/ijamec.1084637","DOIUrl":"https://doi.org/10.18100/ijamec.1084637","url":null,"abstract":"In traditional software systems, user information is kept in databases of the system. Much of this information is critical. Theft of data and getting into the hands of malicious people can cause big problems. The most efficient way to get rid of this is to keep the information encrypted, to decrypt the encrypted information with private keys that are not registered in the system, to never access the encrypted information without the private key, and to use it in platform-independent systems. Blockchain technology offers us this system. Blockchain technology, which can be applied very easily in economic fields or systems with transparent data policy of priority, is also the basic structure of cryptocurrencies. Its importance is increasing day by day in the world and it is increasing its weight in banking-finance, voting, asset management and company-specific software systems. In this study, encryption methods of Blockchain technology, data verification approaches, wallet creation, the roles of public and private keys in wallets in the system, their authorization, the formation of transfers within a certain rule and their verification by a third party after the transfer are discussed theoretically and practically. An application was developed on peer-to-peer transfers of white goods production and products, which were fictionalized as a scenario, and Blockchain technology was applied.","PeriodicalId":120305,"journal":{"name":"International Journal of Applied Mathematics Electronics and Computers","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129116572","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}

引用次数: 0

A classification study for re-determination of the geographical regions: the case of Turkey 重新确定地理区域的分类研究:以土耳其为例

International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-12-31 DOI: 10.18100/ijamec.988273

Burcu Durmuş, Öznur İşçi Güneri

引用次数: 0

A comparison of machine learning algorithms for forecasting solar irradiance in Eskişehir, Turkey 在土耳其eskiehir预测太阳辐照度的机器学习算法的比较

International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-12-31 DOI: 10.18100/ijamec.995506

Ozan Ayko, Sinem Bozkurt Keser

引用次数: 0

Organ Transportation Thermoelectric Cooling System Design and Application 器官输送热电冷却系统的设计与应用

International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-12-31 DOI: 10.18100/ijamec.1031379

Yavuz Selim Taspinar, Prof. Dr. Hakan Işik

引用次数: 0

Classification of Epileptic EEG Signals Using DWT-Based Feature Extraction and Machine Learning Methods 基于dwt特征提取和机器学习方法的癫痫脑电信号分类

International Journal of Applied Mathematics Electronics and Computers Pub Date : 2021-12-31 DOI: 10.18100/ijamec.988691

Abdulkadir Saday, I. Ozkan

引用次数: 2