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"This text discusses various applications of space time adaptive processing, including applications in OTH-radar, ground target tracking, STAP in real world clutter environments, jammer cancellation, supper-resolution, active sonar, seismics and communications. The book provides a unique overview of the broad field of space-time processing and is divided into two parts: the first dealing with the classical adaptive suppression of airborne and space-based radar clutter, and the second comprising miscellaneous applications in other fields such as communications, underwater sound and seismics."

"This third edition provides a detailed introduction to the fundamentals of space-time adaptive processing, with emphasis on clutter suppression in airborne or space based phased array radar, covering specifically the principles of airborne or space based MTI radar for detection of slow moving targets for use in the fields of earth observation, surveillance and reconnaissance, with special attention paid to clutter rejection techniques. The book includes topics such as signal processing, clutter models, array processing, bandwidth effects, non-linear antenna arrays, anti-jamming techniques, adaptive monopulse, bistatic radar configurations, SAR and ISAR, and sonar. After the success of the first and second editions, this third edition has been extensively updated and extended to reflect the numerous advances in the field. A completely new chapter has been added on the impact of the radar range equation, which is of particular importance for radar system designers."

"Adaptive array atau adaptive beamforming adalah peningkatan dari teknik antenna yang menawarkan performa optimal dan memberikan keuntungan luar biasa untuk aplikasi bergerak. Sistem ini dipadukan dengan sistem diversitas MIMO space time block coding (STBC) serta sistem adaptive modulation and coding (AMC) untuk memperoleh keuntungan tersebut. Unjuk kerja sistem ditunjukkan melalui simulasi dengan MATLAB dan pengujian lapangan dengan parameter kualitas yakni ber, rssi, cinr dan throughput. Sistem diujikan dengan beberapa kondisi yang berhubungan dengan banyaknya user, jarak, modulasi dan coderate. Hasil dari pengujian tersebut menunjukkan sistem Adaptive beamforming sangat tahan terhadap lingkungan multipath, memiliki pengelolaan effisiensi ruang yang baik serta peningkatan kualitas sinyal melalui penolakan interferensi, effisiensi power, dan penguatan sinyal.

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Optimum performance and absollutely, make more advantage for mobile application. This system be combined with MIMO space time block coding (STBC) diversity scheme and adaptive modulation coding (AMC) scheme to achieve this advantages. System performance is shown through simulation and trial test with quality parameter such as ber, rssi, cinr and throughput.

System is tested through several condition that related number of users, distance, modulation dan coderate. The result of test shown Adaptive beamforming scheme have higher robustness toward multipath environtment, have efficient managerial for space and improvement signal quality through anticipating interference, power efficiency, and signal amplication."

"Banjir di Jakarta merupakan masalah yang kompleks yang dipengaruhi oleh kombinasi faktor geografis, sosial, ekonomi, dan lingkungan. Studi ini berfokus pada prediksi banjir dengan membandingkan data stasiun darat Automatic Rain Gauge (ARG) dan data satelit Climate Hazards Group InfraRed Precipitation (CHIRPS) menggunakan Adaptive Neurofuzzy Inference System (ANFIS) yang terintegrasi dengan Principal Component Analysis (PCA). Dataset mencakup pengukuran curah hujan dari ARG dan CHIRPS, serta data ketinggian air dari tahun 2014 hingga 2020. ARG menyediakan data curah hujan lokal yang akurat, sementara CHIRPS menawarkan cakupan curah hujan regional yang luas. Teknik praproses seperti imputasi rata-rata, normalisasi data, dan metode interquartile range (IQR) digunakan untuk meningkatkan kualitas data. Model ANFIS-PCA, yang mengintegrasikan logika fuzzy dan pelatihan jaringan saraf tiruan, diterapkan dengan pembagian data 80:20 untuk pelatihan dan validasi. Ketika dilatih dengan data stasiun darat ARG dan pengukuran ketinggian air, model ANFIS-PCA menunjukkan akurasi yang superior, dengan root mean square error (RMSE) sebesar 0,13, mean absolute error (MAE) sebesar 0,12, dan R² sebesar 0,82. Sebaliknya, model ANFIS tanpa PCA menghasilkan kesalahan yang lebih tinggi, dengan RMSE 6,3, MAE 6,2, dan R² 0,74. Pelatihan dengan data satelit CHIRPS menghasilkan kesalahan yang jauh lebih tinggi (RMSE 30,14, MAE 24,05, R² 0,42). Sedangkan hasil ANFIS – PCA menghasilkan akurasi yang lebih bagus (RMSE 4,8, MAE 2,0 dan R² 0,55) . Hasil penelitian menunjukkan bahwa ANFIS-PCA memiliki kinerja yang lebih baik dibandingkan model ANFIS tanpa PCA, terutama ketika dilatih dengan data dari stasiun darat. Integrasi PCA berhasil mengurangi dimensi data, meningkatkan efisiensi komputasi dan akurasi model. Selain itu hasil ini juga menegaskan keunggulan pengukuran curah hujan data ground station untuk prediksi banjir, mempunyai angka presisi yang lebih tinggi dan kerentanan yang lebih rendah terhadap kesalahan dibandingkan data satelit. Sementara itu data satelit CHIRPS menawarkan cakupan spasial yang lebih luas.

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Flooding in Jakarta is a complex issue influenced by a combination of geographical, social, economic, and environmental factors. This study focuses on flood prediction by comparing ground station data from Automatic Rain Gauges (ARG) and satellite data from the Climate Hazards Group InfraRed Precipitation (CHIRPS) using the Adaptive Neuro-Fuzzy Inference System (ANFIS) integrated with Principal Component Analysis (PCA). The dataset includes rainfall measurements from ARG and CHIRPS, as well as water level data from 2014 to 2020. ARG provides accurate local rainfall data, while CHIRPS offers broad regional precipitation coverage. Preprocessing techniques such as mean imputation, data normalization, and the interquartile range (IQR) method were employed to enhance data quality.

The ANFIS-PCA model, which integrates fuzzy logic and neural network training, was implemented using an 80:20 data split for training and validation. When trained with ARG ground station data and water level measurements, the ANFIS-PCA model demonstrated superior accuracy, achieving a root mean square error (RMSE) of 0.13, mean absolute error (MAE) of 0.12, and R² of 0.82. In contrast, the ANFIS model without PCA yielded higher errors, with RMSE of 6.3, MAE of 6.2, and R² of 0.74. Training with CHIRPS satellite data resulted in significantly higher errors (RMSE 30.14, MAE 24.05, R² 0.42). Meanwhile, the ANFIS-PCA model trained on combined datasets showed improved performance, achieving RMSE of 4.8, MAE of 2.0, and R² of 0.55.

The results indicate that the ANFIS-PCA model outperforms the ANFIS model without PCA, particularly when trained with ground station data. The integration of PCA successfully reduced data dimensionality, improving computational efficiency and model accuracy. Furthermore, the findings reaffirm the superiority of ground-based measurements for flood prediction due to their higher precision and lower susceptibility to errors compared to satellite-derived data, while CHIRPS satellite data offers wider spatial coverage."

"[ABSTRAKIndonesia merupakan salah satu negara yang pertumbuhan propertinya sangat pesat. Strategi pengembangan properti yang direncanakan kadang berhasil namun sering juga gagal sehingga banyak bangunan yang mengalami tingkat kekosongan yang tinggi. Penelitian ini memfokuskan pada bagaimana suatu tempat yang tidak terpakaidimanfaatkan kembali secara produktif dengan beralih fungsi baru tanpa merobohkan bangunannya (adaptive reuse) berlaku sebagai pemicu untuk meningkatkan dan memaksimalkan nilai properti bangunan tesebut dan nilai properti pada kawasan sekitar. Dengan fungsi baru akan memperpanjang siklus hidup pada bangunan. Perubahan fungsi pada bangunan tidak terlepas dari berkembangnya kreativitas dan keinginan manusia untuk menghasilkan sesuatu yang baru untuk memberikan manfaat yang lebih besar. Penelitian ini mengambil sampel pada kawasan Istana Kuta Galeria, dimana kawasan ini merupakan ruko-ruko dengan banyak ruangnya yang tidak terpakai. Pendekatan penelitian menggunakan pendekatan kualitatif sehinggamenghasilkan uraian mendalam mengenai perubahan ruko menjadi hotel. Dalam penelitian ini dilakukan analisis pada faktor-faktor seperti politik, hukum, ekonomi, sosial, lingkungan, dan budaya yang berpengaruh di dalam peningkatan nilai properti. Hasil penelitian menunjukkan bahwa strategi adaptive reuse berdampak pada nilaiproperti melalui peningkatan secara positif pada aspek ekonomi dan produktivitas pada bangunan tetapi tidak berimbas pada bangunan sekitarnya yang masih berada di dalam satu kawasan.

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ABSTRACTIndonesia is one of the countries where property growth have increased significantly in the last couple of years. Often the strategy for property development will gain success, but it is not unusual that it is become a failure resulting in high vacancy rate on buildings. This research was focusing on how unused place can productively be reused with a new function without tearing down the previous and/or existing buildings (adaptive reuse) and therefore trigger increased and maximized the value of property. With the increasing value of the property, it will prolong the life cycle of a building. The adaptive reuse relies heavily on the growing human's creativity and their eagerness to create something that will benefit for larger community. This research took sample Istana Kuta Galeria, which is a commercialized area with many unused spaces. Qualitative approach is used in this research to explain further aboutthe change from shops to become a hotel. This research was also analysed factors such as politics, law, economics, social, environment and culture that affecting the value of the property. The result of this research showed that adaptive reuse strategy is impacting the value of property by a positive increase on economy and buildings' productivity; however it does not affecting surrounding buildings on the sameneighborhood.;Indonesia is one of the countries where property growth have increased significantlyin the last couple of years. Often the strategy for property development will gainsuccess, but it is not unusual that it is become a failure resulting in high vacancy rateon buildings. This research was focusing on how unused place can productively bereused with a new function without tearing down the previous and/or existingbuildings (adaptive reuse) and therefore trigger increased and maximized the value ofproperty. With the increasing value of the property, it will prolong the life cycle of abuilding. The adaptive reuse relies heavily on the growing human?s creativity andtheir eagerness to create something that will benefit for larger community. Thisresearch took sample Istana Kuta Galeria, which is a commercialized area with manyunused spaces. Qualitative approach is used in this research to explain further aboutthe change from shops to become a hotel. This research was also analysed factorssuch as politics, law, economics, social, environment and culture that affecting thevalue of the property. The result of this research showed that adaptive reuse strategyis impacting the value of property by a positive increase on economy and buildings?productivity; however it does not affecting surrounding buildings on the sameneighborhood., Indonesia is one of the countries where property growth have increased significantlyin the last couple of years. Often the strategy for property development will gainsuccess, but it is not unusual that it is become a failure resulting in high vacancy rateon buildings. This research was focusing on how unused place can productively bereused with a new function without tearing down the previous and/or existingbuildings (adaptive reuse) and therefore trigger increased and maximized the value ofproperty. With the increasing value of the property, it will prolong the life cycle of abuilding. The adaptive reuse relies heavily on the growing human’s creativity andtheir eagerness to create something that will benefit for larger community. Thisresearch took sample Istana Kuta Galeria, which is a commercialized area with manyunused spaces. Qualitative approach is used in this research to explain further aboutthe change from shops to become a hotel. This research was also analysed factorssuch as politics, law, economics, social, environment and culture that affecting thevalue of the property. The result of this research showed that adaptive reuse strategyis impacting the value of property by a positive increase on economy and buildings’productivity; however it does not affecting surrounding buildings on the sameneighborhood.]"

"Designed to meet the needs of a wide audience without sacrificing mathematical depth and rigor, Adaptive Control Tutorial presents the design, analysis, and application of a wide variety of algorithms that can be used to manage dynamical systems with unknown parameters. Its tutorial-style presentation of the fundamental techniques and algorithms in adaptive control make it suitable as a textbook. Adaptive Control Tutorial is designed to serve the needs of three distinct groups of readers: engineers and students interested in learning how to design, simulate, and implement parameter estimators and adaptive control schemes without having to fully understand the analytical and technical proofs; graduate students who, in addition to attaining the aforementioned objectives, also want to understand the analysis of simple schemes and get an idea of the steps involved in more complex proofs; and advanced students and researchers who want to study and understand the details of long and technical proofs with an eye toward pursuing research in adaptive control or related topics. The authors achieve these multiple objectives by enriching the book with examples demonstrating the design procedures and basic analysis steps and by detailing their proofs in both an appendix and electronically available supplementary material; online examples are also available. A solution manual for instructors can be obtained by contacting the authors."