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Recognition of Marijuana Plant Leaf Diseases Based on Deep Learning
(2025-01-01)
Kong, Qingye
;
Tooprakai, Siraphop
Plant pests and diseases are a common problem in agricultural production, and if not handled properly, they can seriously affect crop yield and quality. The era of the Internet of Things has arrived, and modern monitoring methods have also been applied to the growth monitoring of some crops, achieving good results. However, the cultivation of marijuana still relies mainly on traditional manual monitoring and modern methods have not yet been widely used. At the same time, the prevention of diseases and pests in marijuana is the focus, and if problems are not detected early, the losses can often be severe. This article proposes using machine learning to screen for abnormal leaves and confirm whether the leaves are healthy. After repeated training, the system can compare and classify different images of marijuana leaves and identify abnormal parts. The system is designed based on Python. The test results indicate that this technology can be applied to distinguish marijuana leaves to ensure early detection of diseases and pests, and to minimize agricultural losses caused by untimely remedial measures.
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Malware Developing Guide: Encryption and Decryption
(2022-01-01)
Chatsomsanga, Jutiphat
;
Benjangkaprasert, Chawalit
This research aims to understand malware from malware author's view. Starting from Ransomware, we attempt to develop ransomware written in python and encrypt all files in Windows platform without doing harm to crucial system files. In this research we use Asus K550J laptop with Windows 10 education (Build 19042) as a victim machine. We ran encryption and decryption program with different privilege and observe the results as well as time takes to encrypt and decrypt files. Results show that encryption process is much slower than decryption process and both encryption and decryption work slower in the bigger file size.
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Structural influence line analysis program based on python
(2021-09-15)
Jarasjarungkiat, Amphon
;
Okoun, Chaisiri
;
Silarach, Praphaporn
Analysis of influences line in structures that are complex or indeterminate will make the analysis difficult and time-consuming. Therefore, the researchers have developed an application to analyze beam structures in 2 dimensions that easy to use, convenient, and uncomplicated. In this research, the Double integration method and the Singularity function method are used to analyze the structure. Furthermore, Python is used to develop all of the instructions in Object-oriented programming (OOP) application development. The developed application is capable to analyze the influence lines of structures and display the results in form of animation to show load displacement and structural response. Moreover, it was incorporated with analysis to show basic structural diagrams such as bending, shear, and deflection diagrams. In the final word, this application will be a handy tool for better visualization and investigation behaviors of structures in actual design work.
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Malware Developing Guide: Encryption and Decryption
(2021-02-07)
Chatsomsanga, Jutiphat
;
Benjangkaprasert, Chawalit
This research aims to understand malware from malware author's view. Starting from Ransomware, we attempt to develop ransomware written in python and encrypt all files in Windows platform without doing harm to crucial system files. In this research we use Asus K550J laptop with Windows 10 education (Build 19042) as a victim machine. We ran encryption and decryption program with different privilege and observe the results as well as time takes to encrypt and decrypt files. Results show that encryption process is much slower than decryption process and both encryption and decryption work slower in the bigger file size.
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Development of Angle Control System Application Using Python
(2019-11-01)
Phutthanukun, Warinda
;
Chayratsami, Pornpimon
This paper presents an educational tool for feedback control system class. An application is created using Python for simulating the DC motor angle control. The control method used in the application is Proportional-Integral-Derivative (PID) controller. Inputs of the application consist of motor parameters obtained by theoretically modeling the system, the PID control constant gains, and a desired angle. Outputs are the displays of a root locus plot, a step response plot, and an animation of the motor movement. The results of using the application in the feedback control class indicate that the application helps enhancing student's understanding in the PID control concept and also helps students to visualize the system behavior practically.
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Screening Computer Software for Peripheral Vestibular Dysfunction
(2019-01-10)
Wongwaraputh, Thanapol
;
Pintavirooj, C.
;
Mahasitthiwat, Visan
Vestibular system is balance system of human body. They provide Vestibulo-Ocular Reflex (VOR). Peripheral vestibular dysfunction is one the reasons causes vertigo. There is the diagnosis called Head Impulse Test (HIT). A doctor turns patient's head to left and right rapidly and observes an eye movement duration. In this paper, we develop computer software for both doctors, for supporting their diagnosis and patients, for screening themselves before going to see doctor. This project is creating a computer software using Python language with libraries. The software use OpenCV for image processing: Face detection and finding iris position in eye region and Dlib: Facial landmarks detection including the eye region. The Software requires the HIT video to detect patient's face and iris while face is turning left and right. The iris position is calculated compare to eye landmarks position and displayed by graph of left and right iris movement. The iris movement duration can be used to determine whether a patient has peripheral vestibular dysfunction. Patients can take the video and send to a doctor to diagnose. The software will be furthered developed on the mobile phone for patients to be used at home before going to see doctor.

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