Hasil Pencarian  ::  Simpan CSV :: Kembali

"[ABSTRAKFPGA merupakan piranti yang bersifat dapat dikonfigurasi-ulang (reconfigurable). Dengan mengambil keuntungan dari paralel hardware, eksekusi FPGA dapat lebih cepat dari pemrosesan DSP(Digital Signal Processor). Disain dan Implementasi Pengenalan wajah menggunakan FPGA, untuk mengidentifikasi citra wajah yang diberikan dengan menggunakan Fitur utama dari wajah. Dalam tesis ini Algoritma Artificial Neural Network metode Back Propagation disajikan, untuk mendeteksi pandangan frontal wajah. Extraksi Penciri citra wajah di lakukan dengan (PCA) dan identifikasi menggunakan Back Propagation. Citra wajah diambil dari 100 At&T Database menghasilkan 90 % acceptance ratio.

---

ABSTRACTFPGA is a device that can be re-configured (reconfigurable). By taking advantage of parallel hardware, FPGA execution can be faster than processing DSP (Digital Signal Processor). Design and Implementation of face recognition using FPGA, to identify a given face image using the main features of the face. In this thesis Algorithm Artificial Neural Network Back Propagation method is presented, for detecting frontal view faces. Identifier face image extraction is done by (PCA) and identification using Back Propagation. 100 face images taken from At & T database generates 90% acceptance ratio.;FPGA is a device that can be re-configured (reconfigurable). By taking advantage of parallel hardware, FPGA execution can be faster than processing DSP (Digital Signal Processor). Design and Implementation of face recognition using FPGA, to identify a given face image using the main features of the face. In this thesis Algorithm Artificial Neural Network Back Propagation method is presented, for detecting frontal view faces. Identifier face image extraction is done by (PCA) and identification using Back Propagation. 100 face images taken from At & T database generates 90% acceptance ratio.;FPGA is a device that can be re-configured (reconfigurable). By taking advantage of parallel hardware, FPGA execution can be faster than processing DSP (Digital Signal Processor). Design and Implementation of face recognition using FPGA, to identify a given face image using the main features of the face. In this thesis Algorithm Artificial Neural Network Back Propagation method is presented, for detecting frontal view faces. Identifier face image extraction is done by (PCA) and identification using Back Propagation. 100 face images taken from At & T database generates 90% acceptance ratio., FPGA is a device that can be re-configured (reconfigurable). By taking advantage of parallel hardware, FPGA execution can be faster than processing DSP (Digital Signal Processor). Design and Implementation of face recognition using FPGA, to identify a given face image using the main features of the face. In this thesis Algorithm Artificial Neural Network Back Propagation method is presented, for detecting frontal view faces. Identifier face image extraction is done by (PCA) and identification using Back Propagation. 100 face images taken from At & T database generates 90% acceptance ratio.]"

"Area prospek panasbumi Lapangan "A" terletak pada daerah bagian barat Indonesia. Secara umum, batuan di daerah panasbumi Lapangan "A" didominasi oleh batuan lava gunung api (andesitbasalt) dan breksi. Batuan tersebut sebagian besar berumur kuarter hingga tersier. Analisis dan model bawah permukaan yang dilakukan pada Lapangan "A" menggunakan data anomali gaya berat. Hasil pemodelan gaya berat 2 dimensi yang dikorelasikan dengan data geologi, geokimia dan geofisika (metode magnetotteluric dan magnetic) mengidentifikasikan adanya sistem panas bumi dengan zona reservoar pada bagian selatan puncak gunung penelitian dan manifestasi mata air panas serta fumarol di permukaannya. Zona reservoar sistem panasbumi Lapangan "A" diperkirakan berasal dari batuan gunung api muda yakni breksi, tufa dan batu pasir yang berumur kuarter.

---

Geothermal prospect area in Field "A" is located on the western side of Indonesia. Generally, the rocks in the north and west geothermal field "A" are consists of volcanic rocks such as lava and breccia. Most of them were formed in tertiary and quaternary age. Analysis and subsurface models of Field "A" are based on gravity anomalies data. The result of 2-dimensional gravity modeling correlated with geological, geochemical and geophysical data (magnetic and magnetotelluric method) identified a geothermal system with a reservoir zone in the southern part of the mountain peaks along with the manifestations of hot spring and fumarole on the surface. Geothermal field "A" is estimated to be consists of young volcanic rocks such as breccia, tuff and sandstone from quaternary age."

"Daerah Simisuh, Kabupaten Pasaman, Provinsi Sumatera Barat memiliki potensi sumber panasbumi yang dibuktikan dengan adanya manifestasi yang muncul di permukaan berupa hot spring dan batuan alterasi. Data yang didapat dari kegiatan pengukuran, diolah untuk dapat mengidentifikasi sistem panasbumi di daerah Simisuh dalam memetakan lapisan overburden, clay cap, reservoir, dan heat source. Metode geofisika yang digunakan pada penelitian ini adalah metode Audio-frequency Magnetotelluric (AMT) dan Magnetotelluric (MT) yang mampu memetakan komponen-komponen sistem panasbumi berdasarkan tahanan jenisnya. Hasil inversi 2-dimensi yang divisualisasikan secara 2-dimensi maupun 3-dimensi memperlihatkan batuan alterasi yang berperan sebagai clay cap berada di bagian barat laut dari daerah penelitian, sedangkan reservoir terdapat pada kedalaman sekitar 1 km. Berdasarkan hasil survei pengolahan data AMT dan MT yang didukung oleh data geologi, geokimia, gravitasi, dan magnetic, sistem panasbumi Simisuh merupakan sistem vulkanik-tektonik dengan suhu reservoir diperkirakan sekitar 150oC (moderate temperature system) dengan potensi listrik sekitar 36 MWe.

---

Simisuh area, Pasaman, West Sumatera Province has potency of geothermal resource which is proven by surface manifestation in the form of hot springs and altered rocks. Observed data were processed to identify the geothermal system in Simisuh area including mapping of overburden layer, clay cap, reservoir, and heat source.

Geophysical methods used for this investigation are Audio-frequency Magnetotelluric (AMT) and Magnetotelluric (MT) that can delineate components of the geothermal system based on resistivity distribution.

The result of 2 dimensional inversion which was visualized in 2 dimension or 3 dimension showed altered rocks as clay cap which is located at north-west direction of investigation area, and reservoir which is located 1 km beneath the surface.

Based on the result of AMT and MT data which were supported by geology, geochemistry, gravity and magnetic data, the Simusuh geothermal system was concluded as volcanic-tectonic system with reservoir temperatur around 150oC (moderate temparatur system), associate with 36 MWe."

"ABSTRAKLapangan ?X? terletak di Cekungan Sumatera Selatan tepatnya pada Formasi Talang Akar. Telah teridentifikasi sebelumnya bahwa pada lapangan ini tersaturasi hidrokarbon berupa condensate dan minyak. Zona target berupa paket-paket reservoir karena sistem pengendapannya berada pada lingkungan delta. Inversi simultan akan menghasilkan impedansi P, impedansi S, dan densitas. Dengan menggunakan parameter Zp, Zs, dan densitas, dapat diketahui persebaran zona hidrokarbon secara lateral. Impedansi P sensitif terhadap identifikasi hidrokarbon dikarenakan mengandung komponen inkompresibilitas. Sementara parameter impedansi S digunakan untuk identifikasi litologi karena mengandung komponen rigiditas yang sensitif terhadap matriks batuan. Untuk mengontrol inversi seismik, digunakan informasi dari log sumur. Analisis krosplot dari parameter fisis sumur dilakukan guna mengetahui anomali persebaran data. Anomali ini biasanya menandakan zona hidrokarbon. Hasil penelitian ini menunjukkan bahwa persebaran litologi dan zona hidrokarbon teridentifikasi dengan cukup baik dengan parameter Zp, Zs dan densitas.

---

ABSTRACTField "X" is located in the South Sumatra Basin precisely in Talang Akar Formation. Have been identified earlier that the field is saturated by hydrocarbons in the form of condensate and oil. Target zone in the form are packets of reservoir because the deposition system on this field are in the delta environment.Simultaneous inversion will generate impedance P, S impedance, and density. By using the parameter Zp, Zs and density, hydrocarbon zone can be seen spread laterally. Impedance P sensitive to the identification of hydrocarbon-containing due components of incompresibility . While the S impedance parameter is used to identify lithology because it contains components of rigidity that are sensitive to matrix of rock. In addition, information from well logs are used to control the seismic inversion. Crossplot analysis of the physical parameters of the wells was conducted to determine the distribution of data anomalies. This anomaly usually indicates a hydrocarbon zone.The results showed that the distribution of lithology and hydrocarbon zones identified quite well with Zp, Zs, and density."

"Survey geofisika dengan metode magnetotellurik (MT) digunakan untuk mengetahui kondisi bawah permukaan berdasarkan nilai resistivitas dan nilai fasenya. Data mentah berupa data time series dari hasil pengukuran dengan menggunakan unit peralatan Zonge. Kemudian data diolah lebih lanjut dalam bentuk kurva resistivitas semu dan fase terhadap frekuensi. Dalam pengolahannya dilakukan berbagai filterisasi dan koreksi. Hasil akhirnya berupa penampang 2-dimensi dari masing-masing line pengukuran MT. Data hasil pemodelan MT kemudian diinterpretasikan secara terpadu dengan data gravitasi, geologi, dan geokimia yang telah dilakukan sebelumnya. Hasil menunjukkan hubungan yang cukup baik. Data yang satu dapat di-confirm dengan data yang lain, serta mampu mendeliniasi keberadaan reservoir dan kemungkinan jumlah potensi geothermal di daerah pengukuran. Daerah prospek diperkirakan berada di bagian tengah daerah penelitian. Dari hasil interpretasi dapat diketahui bahwa sistem geothermal di daerah pengukuran memiliki heat source berupa batuan vulkanik yang sudah tua dan aktif akibat proses tektonik. Kedalaman reservoir mencapai sekitar 1200 m, dengan luasan sekitar 9 km2. Potensi geothermal di daerah Suwawa diperkirakan mencapai 61 MWe.

---

Geophysical survey using magnetotelluric method is purposed for understanding the subsurface condition based on resistivity and phase value. Raw data is several time series data as result of MT measurement using Zonge equipment. Then, the data was prosessed to produced resistivity and phase curve versus frequency. In the process, data was filtered and corrected. The final result formed as 2-dimensional vertical section of resistivity for each line from MT measurement. Integrated interpretation of MT inversion model section with gravity, geology, and geochemistry data was then carried out.

The result of this integrated interpretation showed good relation between each data. One data was well-confirmed by the others, and then was able to delineate existence of reservoir area and geothermal potential estimation of the area. Interpretation result show that the geothermal system have an old-volcanic body as a heat source that is activated by tectonic activities. Depth of the reservoir area is about 1200 m, with approximately 9 km2 wide. Estimated potential in Suwawa geothermal area is calculated about 61 MWe."