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"ABSTRACT

Data acquisition system using diode array for a spectrometer has been designed and constructed. The light detection is performed by a photodiode array consisting of 512 photodiodes. The superior quantum efficiency of the detector and the direct increase of optical flux with photodiode electrons make it works as a very fast detector. This detector is supplemented with a charge-coupled device working as a shift register for the array, and as a result each light spectrum can be scanned in less than one minute.

The detecting subsystem is followed by a 12 bit analog to digital conversion module which operates at the speed of 26 uses. This data acquisition system is also equipped with an Z BO CPU controlled interface module for its data transfer to an IBM PC, to allow further processing and analysis of the data as well as its final display. In addition to each individual subsystem testing, the whole integrated system has also been tested with a known spectrum and the result is satisfactory."

"Current research trends in 3D Face recognition system requires a special hardware for fast capturing face image data from multi angle view. To support this research, we had designed and implemented an automatic image data acquisition system using multi-camera for capturing facial images from 5o different angle views, which spanned horizontally from 180° from left to right, and vertically from horizontal up to 70o above the face. The system was designed using 30 IP cameras that were mounted on two rigid steel arms that had the form of three quarter of a circle, the two steel arms formed the angle of 90° to each other. At each arm, 15 IP cameras were mounted with 5o spacing vertically to each others. This arm was driven by a DC motor which was controlled by a microcontroller and supervised directly by a laptop computer along with the data acquisition activities. The software for capturing images was designed using C# GUI programming language. The system had been working in good condition and image-data were saved in JPEG format. Time duration of capturing images data for one object face expression with 30 times capturing for the whole angle views, was only 3 minutes 44.5 seconds with total number of 16,650 images collected. The delay time between two cameras capturing was less than 1 sec. This project is aimed to support the 3D face recognition research in the department"

"ABSTRAKPerencanaan dan pembangunan suatu proyek tidak dapat dilepaskan dari pertimbangan ekonomis proyek itu sendiri. Berdasarkan pertimbangan ekonomis pula direncanakan ukuran proyek serta pemilihan teknologi yang dipergunakan sehingga dapat diperkirakan besarnya investasi yang ditanamkan dan tingginya laju pengembalian modal. Demikian juga dalam perencanaan pengembangan sebuah sentral telepon, perlu dipertimbangkan besarnya kapasitas sentral sesuai dengan jumlah pelanggan yang melakukan percakapan melalui sentral tersebut. Berdasarkan grade of service yang diinginkan, dapat dilakukan optimasi jumlah trunk sesuai dengan jumlah percakapan yang harus dilayani sentral tersebut Metode optimasi yang dipergunakan dapat dipilih tergantung pada distribusi trafik di sentral tersebut. Untuk sentral STKB pada tahun 1993, kondisi trafik tersebut diasumsikan random sehingg dapat dianalisa dengan menggunakan ErIang-B Formulla. Berdasarkan perhitungan data-data tersebut dapat diketahui jumlah trunk yang paling optimal bagi sentral tersebut agar sentral dapat melayani percakapan pelanggan tanpa melakukan pemborosan sumber daya (trunk) yang berlebihan. Penentuan trafik optimal dilakukan berdagarkan Bouncing Busy Hour dan diperoleh berdasarkan analisa data grup CA."

"Aplikasi teknik biomedis berkembang dengan cepat dalam beberapa dekade terakhir. Salah satu aplikasi dalam teknik biomedis adalah pencitraan medis yang saat ini sudah diadopsi dan beberapa masih diteliti secara luas. Beberapa teknologi yang sudah diadopsi seperti CT scan, sinar-X, MRI, PET dan SPECT masih memiliki dimensi yang relatif besar, tidak portable dan biaya pembuatan serta pemeliharan yang mahal. Sekarang ini, modality baru yang sedang berkembang seperti pencitraan gelombang mikro (microwave imaging) menawarkan beberapa kelebihan lain terutama biaya yang murah, portable, dan bersifat non-invasive dan non-intrusive. Di dalam teknologi pencitraan medis, beberapa diantaranya menggunakan metode rekonstruksi citra yang berbasis algoritma proyeksi balik (back projection). Oleh karena lamanya proses pengambilan data ketika proses pemindaian (scanning), maka diperlukan sistem akuisisi data yang dapat mengambil data pemindaian secara otomatis.Dalam skripsi ini, dirancang sebuah sistem akuisisi data otomatis untuk pencitraan gelombang mikro yang berbasis algoritma proyeksi balik yang memanfaatkan transformasi Radon. Sistem yang dirancang berupa perpaduan rancangan perangkat keras dan perangkat lunak sehingga menghasilkan integrasi kedua perangkat dalam sebuah sistem akuisisi data pemindaian gelombang mikro. Perangkat lunak yang digunakan berbasis LabVIEW dan board Arduino sebagai interface dalam pengendalian rancangan sistem akuisisi. Pengujian sistem akuisisi data, dilakukan dengan menempatkan sebuah model phantom fisik homogen di antara dua buah antena dipole (sebagai transmitter & receiver) untuk dibandingkan dengan hasil simulasi dengan CST Microwave Studio pada frekuensi 3 GHz dan 5 GHz. Berdasarkan hasil pengujian sistem akuisisi data, diperoleh hasil bahwasanya sistem memiliki tingkat akurasi (step minimum) translasi sebesar 0,5 mm saat proses pemindaian objek. Hasil pembacaan data akuisisi yang diperoleh memiliki kesalahan rata-rata kurang dari 6% dibandingkan dengan hasil simulasi.

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In few current decades, biomedical engineering applications are growing rapidly, which medical imaging is one of biomedical engineering applications that is currently widely adopted and studied for further improvement. Some existing technologies such as CT scan, X-ray, MRI, PET and SPECT are considerably still bulky, non-portable and relatively high production and maintenance cost. A new growing modality called microwave imaging offers some other advantages especially low cost, portable, which still maintain on non-invasively and non-intrusively technique. In some medical imaging systems usually still use a back projection algorithm to reconstruct the image. Due to the imaging system that uses back projection method takes relatively long scanning process, hence, data retrieval process is required to be performed by an automatically data acquisition system.

In this bachelor thesis, an automatic data acquisition system is designed for microwave imaging purpose by using back projection algorithm that employing Radon transform. The acquisition system is designed as a blend of hardware design and software resulting in the integration of the both in a data acquisition system for microwave imaging. The software developed is a LabVIEW-based and Arduino board is set as an interface for controlling the designed acquisition system. In order to validate the data acquisition system, a homogeneous physical phantom is placed between two dipole antennas (as a transmitter and receiver) and the measured result is compared to the the simulation with CST Microwave Studio at the frequency of 3 GHz and 5 GHz.

According to the testing results from the proposed data acquisition system, the system has an accuracy rate (minimum step) by 0.5 mm of the translation when it scans the object. In addition, an average error of the retrieved data from the acquisition system is less than 6% compared with the simulation results."