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"This book constitutes the refereed proceedings of the 9th European Conference on Wireless Sensor Networks, EWSN 2012, held in Trento, Italy, in Februar 2012. The 16 revised full papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on communication and security, system issues, reliability, localization and smart cameras, and hardware and sensing."

"ABSTRAKPenyelidikan tentang faktor bentuk hadronik pada fotoproduksi kaon telah menghasilkanmodel standar terbaik. Model standar terbaik berisi kombinasi faktorbentuk hadronik untuk masing-masing vertex fotoproduksi kaon yang diselidikimenggunakan model isobar. Nilai c2=N minimum yang diperoleh dari modelstandar terbaik adalah 2.13. Masing-masing vertex fotoproduksi kaon memilikikesesuaian penggunaan faktor bentuk hadronik yang berbeda-beda, antara lainmenggunakan jenis dipole, eksponensial, generalized dipole (1), generalizeddipole (2), atau generalized dipole (3). Selain kombinasi faktor bentuk hadronik,model standar terbaik juga menghasilkan nilai parameter cut-off untuk setiap vertexnya.Upaya perbaikan terhadap model standar terbaik dilakukan dengan seleksidata eksperimen berdasarkan analisis konsistensi data dan seleksi berdasarkansimpangan R. Namun, hasil seleksi data kurang memuaskan karena tidak adapenurunan nilai c2=N yang signifikan. Parameter cut-off dan konstanta koplingjuga diselidiki pengaruhnya terhadap model dengan cara memvariasikan nilaikeduanya. Variasi parameter cut-off untuk vertex meson K(892) dengan kenaikandan penurunan 10% menyebabkan adanya pergeseran hasil fit dari model standarterbaik. Sementara itu, variasi konstanta kopling tidak menghasilkan perubahancukup besar pada model standar terbaik.

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ABSTRACTWe have produced the best standard model of kaon photoproduction off the protonusing hadronic form factors. The best standard model, which is investigated usingisobar model, contains combination of hadronic form factors for each vertex in kaonphotoproduction. The value of c2=N achieved in this work is 2.13. Each vertexsof kaon photoproduction perform different suitability using several hadronic formfactors, those are the dipole, exponential, generalized dipole (1), generalized dipole(2), or else generalized dipole (3). Furthermore, the best standard model producedthe specific value of cut-off parameter for each vertex. We also try to improve thebest standard model by selecting the experimental data using consistency analysismethod and deviation method. However, both methods perform no improvement. Inthe final work, we investigate the effect of cut-off parameter and coupling constanton the best standard model by varying their values. Cut-off parameter for K(892)meson show different result from the best standard model after varying its value inthe range of 10%. Meanwhile, variation on coupling constant perform not enoughdifferences to be noted."

"ABSTRAKPenelitian ini menginvestigasi efek dari faktor bentuk hadronik dalam fotoproduksi kaon pada nukleon, +p ! K++. Telah ditemukan bahwa bentuk faktor bentuk hadronik tertentu dapat memperbaiki kecocokan antara perhitungan model dan data eksperimen, khususnya pada energi tinggi. Namun pengikutsertaan faktor bentuk hadronik dalam perhitungan menjadi sumber terlalu teredamnya cross section pada sudut depan kaon. Penelitian ini bertujuan untuk mencari penyebab hal tersebut sekaligus mencari bentuk faktor bentuk seperti apa yang dapat meredam divergensi pada amplitudo hamburan dan cocok dengan data eksperimen. Data eksperimen untuk differensial cross section, polarisasi tunggal, dan polarisasi ganda pada investigasi ini didapat dari kolaborasi CLAS, GRAAL, dan LEPS. suku Born dan suku resonan pada model dikonstruksi secara kovarian, yaitu dengan menggunakan teknik Feynman. Teori pseudoskalar digunakan untuk menghitung verteks hadronik dalam amplitudo. Beberapa bentuk faktor bentuk hadronik telah dianalisis dan hasil numeriknya dibandingkan dengan data dalam rangka untuk mengetahui faktor bentuk yang cocok untuk fotoproduksi kaon.

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ABSTRACTWe have investigated the effect of hadronic form factors in kaon photoproduction off the nucleon, + p ! K+ + . It is found that certain forms of hadronic form factors can significantly improve the agreement between model calculation and experimental data, especially at higher energies. However, the inclusion of hadronic form factors might also become the source of oversuppression of the cross section at forward kaon angles. In this research we are interested in locating the origin of this problem as well as the types of form factor which can suppress the divergence of scattering amplitudes and simultaneously yield the best agreement with experimental data. Experimental data on differential cross section, single and double polarization from CLAS, GRAAL, and LEPS collaborations have been used in this investigation. The born and resonance terms of the model are constructed in covariant way, i.e. by using Feynman technique. We used the pseudoscalar theory to calculate the hadronic vertices in the amplitude. Several forms of hadronic form factor have been analyzed and the corresponding numerical results are compared to data in order to determine the appropriate form factor in kaon photoproduction."

"This book constitutes the refereed proceedings of the 15th International Conference on Theory and Applications of Satisfiability Testing, SAT 2012, held in Trento, Italy, in June 2012. The 29 revised full papers, 7 tool papers, and 16 poster papers presented together with 2 invited talks were carefully reviewed and selected from 112 submissions (88 full, 10 tool and 14 poster papers). The papers are organized in topical sections on stochastic local search, theory, quantified Boolean formulae, applications, parallel and portfolio approaches, CDCL SAT solving, MAX-SAT, cores interpolants, complexity analysis, and circuits and encodings."

"This book constitutes the refereed proceedings of the 5th INNS IAPR TC3 GIRPR International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 revised full papers presented were carefully reviewed and selected for inclusion in this volume. They cover a large range of topics in the field of neural network- and machine learning-based pattern recognition presenting and discussing the latest research, results, and ideas in these areas."