Information about rotor positions is critical when controlling a permanent-magnet synchronous motor (PMSM). This information can be gathered using a sensor or through an estimation without using a sensor. This article discusses a machine learning technique for estimating rotor positions. The proposed machine learning observer was constructed using a modified Elman neural network as the main algorithm. The network was trained offline with training data obtained from PMSM field-oriented control simulations and was tested using a validation data set. The PMSM control simulation results revealed that the rotor position estimated through machine learning was comparable with the simulated rotor position; the average error was 0.0127 per unit position. Furthermore, the machine learning model was implemented in an experimental PMSM-control hardware platform. Both the simulation and experimental results indicate that the proposed machine learning observer has an acceptable performance.

This study designs and compares the effect of four stator slot geometries for high-speed spindle motors. The spindle motor was constructed using rounded semi-closed stator slot. The optimal stator geometry was determined using the Taguchi method, and equivalent circuit was used for analyzing and verifying the spindle motor performance. The finite element method was used in optimizing the design, and optimal design characteristics were compared. The optimal results are recommended for developing the spindle motor with high efficiency, torque, and low noise.

Penelitian ini bertujuan untuk: (1) Mendeskripsikan bagaimana sensor-sensor dalam sistem EFI bekerja pada putaran idle, mesin rotasi tingkat menengah dan tinggi, dengan melihat sensor output. (2) Mengetahui pekerjaan aktuator pada Sistem EFI pada putaran idle, mesin rotasi tingkat menengah dan tinggi. Metode eksperimen digunakan untuk penelitian ini. Mesin EFI dengan tipe D EFI yang digunakan telah dianalisis. Alat pindai digunakan untuk mengamati untuk mengukur output yang dihasilkan oleh sensor dan mengukur kerja aktuator sistem EFI menggunakan alat Pindai. Dari percobaan ditemukan bahwa peningkatan putaran mesin akan menghasilkan peningkatan kerja aktuator pada Sistem EFI, yang terdiri dari Injeksi Waktu dan Pengisi Waktu Pengapian, tetapi untuk Idle Speed ​​Control Valve (ISCV) dan Intake Camshaft Timing perubahan relatif stabil.

Guru sebagai salah satu penentu keberhasilan pendidikan siswa dituntut untuk memiliki kemampuan beradaptasi pada kemajuan teknologi. Kemajuan teknologi terkadang tidak dibarengi dengan fasilitas yang ada. E-learning idealnya membutuhkan dukungan infrastuktur IT yang baik. Berkembangnya layanan web dan sosial media ternyata dapat digunakan untuk membangun sebuah mekanisme e-learning yang murah dan efisien. Di SMK N 1 Gunung Talang Kabupaten Solok belum ada sistem e-learning. Tujuan penelitian ini adalah untuk melatih guru tentang cara membuat sistem e-learning yang murah dan efisien. Sistem e-learning dibuat dengan memanfaatkan beberapa layanan web yang sudah ada dan tersedia dengan gratis yaitu : facebook, google drive dan google form. Dari hasil penelitian didapati bahwa 75 % guru yang mengikuti pelatihan telah mampu membuat sebuah sistem e-learning untuk kegiatan pembelajaran. Sedangkan 25 % masih kesulitan dalam membuat secara mandiri.

The purpose of this study was to analyze the effect of applying auto idle to excavator engine performance, such as machine unitization and fuel consumption in Excavator. Steps to be done are to modify the system JA 44 and 67 in Vehicle Electronic Control Unit (V-ECU). The modifications will be obtained from the pattern of the engine speed. If the excavator attachment is not operated, the engine speed will return to the idle speed automatically. From the experiment results the auto idle reduces fuel consumption in excavator engine.

Stunting, a critical health issue affecting child growth and development, is prevalent in developing countries and is characterized by significantly reduced height for age. Traditional height measurement methods often require physical contact, which can lead to measurement inaccuracies and potential discomfort for infants. This study introduces a contactless method for measuring infant height using advanced computer vision techniques and the MediaPipe Pose library. By detecting key body points and applying Euclidean distance calculations, the proposed approach offers precise height estimation. Validation uses baby dolls (38 cm and 49 cm) and real infants (n=12) under varying body postures and lighting conditions. A fixed-size green mat (100 cm) was used as a reference for converting pixel distances into actual measurements. The method achieved an average accuracy of 99.76% for the 38 cm doll and 99.67% for the 49 cm doll. For real infants, the system demonstrated an average accuracy of 98.48%. This confirms that the system performs effectively in measuring infant height, even under conditions of non-ideal body posture. Furthermore, these results suggest that the proposed system is an effective and practical alternative for infant height measurements, supporting the early detection of stunting in diverse real-world settings.