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Earthquake location determination using data from DOMERAPI and BMKG seismic networks: A preliminary result of DOMERAPI project

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AIP Conference Proceedings 2015年第1期1658卷

作者： Mohamad Ramdhan Andri Dian Nugraha Sri Widiyantoro Jean-Philippe Métaxian Ayunda Aulia Valencia 1Study Program of Earth Science Institut Teknologi Bandung Jl. Ganesa 10 Bandung 40132 Indonesia 2Agency for Meteorology Climatology and Geophysics of Indonesia (BMKG) Jl. Angkasa 1 No. 2 Kemayoran Jakarta Pusat 10720 Indonesia 3Global Geophysics Research Group Faculty of Mining and Petroleum Engineering Institut TeknologiBandung Jl. Ganesa 10 Bandung 40132 Indonesia 4Institut de Recherche pour le Développement (IRD) France 5Study Program of Geophysical Engineering Institut Teknologi Bandung Jl. Ganesa 10 Bandung 40132 Indonesia (Email: mohamad.ramdhan@bmkg.go.id)

DOMERAPI project has been conducted to comprehensively study the internal structure of Merapi volcano, especially about deep structural features beneath the volcano. DOMERAPI earthquake monitoring network consists of 46 broad-band seismometers installed around the Merapi volcano. Earthquake hypocenter determination is a very important step for further studies, such as hypocenter relocation and seismic tomographic imaging. Ray paths from earthquake events occurring outside the Merapi region can be utilized to delineate the deep magma structure. Earthquakes occurring outside the DOMERAPI seismic network will produce an azimuthal gap greater than 1800. Owing to this situation the stations from BMKG seismic network can be used jointly to minimize the azimuthal gap. We identified earthquake events manually and carefully, and then picked arrival times of P and S waves. The data from the DOMERAPI seismic network were combined with the BMKG data catalogue to determine earthquake events outside the Merapi region. For future work, we will also use the BPPTKG (Center for Research and Development of Geological Disaster Technology) data catalogue in order to study shallow structures beneath the Merapi volcano. The application of all data catalogues will provide good information as input for further advanced studies and volcano hazards mitigation.

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Blind and lighting control to maintain comfort light intensity of the classroom utilizing Microcontroller ATmega8535

Blind and lighting control to maintain comfort light intensi...

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International Conference on Information Technology and Electrical engineering (ICITEE)

作者： Arthur Silitonga I Gusti L. W. Indrawan Study Program of Electrical Engineering Faculty of Engineering President University Bekasi Indonesia Study Program of Electrical Engineering Faculty of Engineering President University Bekasi Indonesia

A stable light intensity level of a classroom can actually be obtained by integrating automatic lamp brightness controller with automatic blind system. A brightness controller of the lamp, especially incandescent type can be developed by adopting the principle of phase firing angle. It should be implemented in such a way so that the firing angle is set precisely to keep the classroom's light intensity stays in a steady level. Next, the opening and closing process of the blind can also be done using stepper motor which will be controlled automatically by a microcontroller through a hardware driver. This is intended to take the advantage of light contribution from the outside instead of directly switching on or brightening the lamp.

关键词： Voltage measurement Firing Brightness Switches Testing

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Fungal diversity notes 253-366:taxonomic and phylogenetic contributions to fungal taxa

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Fungal Diversity 2016年第3期78卷 1-237页

作者： Guo Jie Li Kevin D.Hyde Rui Lin Zhao Sinang Hongsanan Faten Awad Abdel-Aziz Mohamed A.Abdel-Wahab Pablo Alvarado Genivaldo Alves-Silva Joseph F.Ammirati Hiran A.Ariyawansa Abhishek Baghela Ali Hassan Bahkali Michael Beug D.Jayarama Bhat Dimitar Bojantchev Thitiya Boonpratuang Timur S.Bulgakov Erio Camporesi Marcela CBoro Oldriska Ceska Dyutiparna Chakraborty Jia Jia Chen K.W.Thilini Chethana Putarak Chomnunti Giovanni Consiglio Bao Kai Cui Dong Qin Dai Yu Cheng Dai Dinushani A.Daranagama Kanad Das Monika C.Dayarathne Eske De Crop Rafael J.V.De Oliveira Carlos Alberto Fragoso de Souza JoséIde Souza Bryn T.M.Dentinger Asha J.Dissanayake Mingkwan Doilom E.Ricardo Drechsler-Santos Masoomeh Ghobad-Nejhad Sean P.Gilmore Aristóteles Góes-Neto MichałGorczak Charles H.Haitjema Kalani Kanchana Hapuarachchi Akira Hashimoto Mao Qiang He John K.Henske Kazuyuki Hirayama Maria J.Iribarren Subashini C.Jayasiri Ruvishika S.Jayawardena Sun Jeong Jeon Gustavo H.Jerônimo Ana L.Jesus E.B.Gareth Jones Ji Chuan Kang Samantha C.Karunarathna Paul M.Kirk Sirinapa Konta Eric Kuhnert Ewald Langer Haeng Sub Lee Hyang Burm Lee Wen Jing Li Xing Hong Li Kare Liimatainen Diogo Xavier Lima Chuan Gen Lin Jian Kui Liu Xings Zhong Liu Zuo Yi Liu J.Jennifer Luangsa-ard Robert Lücking H.Thorsten Lumbsch Saisamorn Lumyong Eduardo M.Leaño Agostina V.Marano Misato Matsumura Eric H.C.McKenzie Suchada Mongkolsamrit Peter E.Mortimer Thi Thuong Thuong Nguyen Tuula Niskanen Chada Norphanphoun Michelle A.O’Malley Sittiporn Parnmen Julia Pawłowska Rekhani H.Perera Rungtiwa Phookamsak Chayanard Phukhamsakda Carmen L.A.Pires-Zottarelli Olivier Raspé Mateus A.Reck Sarah C.O.Rocha AndréL.C.M.Ade Santiago Indunil C.Senanayake Ledo Setti Qiu Ju Shang Sanjay K.Singh Esteban B.Sir Kevin V.Solomon Jie Song Prasert Srikitikulchai Marc Stadler Satinee Suetrong Hayato Takahashi Takumasa Takahashi Kazuaki Tanaka Li Ping Tang Kasun M.Thambugala Donnaya Thanakitpipattana Michael K.Theodorou Benjarong Thongbai Tuksaporn Thummarukcharoen Qing Tian Saowaluck Tibpromma Annemieke State Key Laboratory of Mycology Institute of MicrobiologyChinese Academy of SciencesNo 31st West Beichen RoadChaoyang DistrictBeijing 100101People’s Republic of China Centre of Excellence in Fungal Research and School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanPeople’s Republic of China Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box:2455Riyadh 1145Saudi Arabia Department of Botany and Microbiology Faculty of ScienceSohag UniversitySohag 82524Egypt ALVALAB C/La Rochela nº47E-39012 SantanderSpain Micolab Programa de Pós-Graduação em Biologia de FungosAlgas e PlantasDepartamento de BotânicaUniversidade Federal de Santa CatarinaCampus Universitário TrindadeCEP:88040-900 FlorianópolisSanta CatarinaBrazil Department of Biology University of WashingtonBox 351800SeattleWA 98195-1800USA Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006GuizhouPeople’s Republic of China National Fungal Culture Collection of India(NFCCI) Biodiversity and Palaeobiology GroupMACS’Agharkar Research InstituteG.G.Agarkar RoadPune 411004India PO Box 116 HusumWA 98623-0116USA Formerly Department of BotanyGoa UniversityGoaIndia No.128/1-J Azad Housing SocietyCurcaP.O.Goa Velha 403108India *** 345 Shipwatch LaneHerculesCA 94547USA Microbe Interaction Laboratory(BMIT) BIOTECNational Science and Technology Development Agency(NSTDA)113 Thailand Science ParkThanon PhahonyothinTombon Khlong NuengAmphoeKhlong LuangPathum Thani 12120Thailand Academy of Biology and Biotechnology Southern Federal UniversityRostov-on-Don 344090Rostov regionRussia A.M.B.Gruppo Micologico Forlivese BAntonio“Cicognani” Via Roma Forlì Italy 18 A.M.B.Circolo Micologico“Giovanni Carini”C.P.314BresciaItaly Societàper gli Studi Naturalistici della Romagna C.P.144Bagnacavallo

Notes on 113 fungal taxa are compiled in this paper,including 11 new genera,89 new species,one new subspecies,three new combinations and seven reference *** geographic and taxonomic range of fungal taxa are *** the Ascomycota the new genera Angustospora(Testudinaceae),Camporesia(Xylariaceae),Clematidis,Crassiparies(Pleosporales genera incertae sedis),Farasanispora,Longiostiolum(Pleosporales genera incertae sedis),Multilocularia(Parabambusicolaceae),Neophaeocryptopus(Dothideaceae),Parameliola(Pleosporales genera incertae sedis),and Towyspora(Lentitheciaceae)are *** introduced species are Angustospora nilensis,Aniptodera aquibella,Annulohypoxylon albidiscum,Astrocystis thailandica,Camporesia sambuci,Clematidis italica,Colletotrichum menispermi,***,Comoclathris pimpinellae,Crassiparies quadrisporus,Cytospora salicicola,Diatrype thailandica,Dothiorella rhamni,Durotheca macrostroma,Farasanispora avicenniae,Halorosellinia rhizophorae,Humicola koreana,Hypoxylon lilloi,Kirschsteiniothelia tectonae,Lindgomyces okinawaensis,Longiostiolum tectonae,Lophiostoma pseudoarmatisporum,Moelleriella phukhiaoensis,***,Mucoharknessia anthoxanthi,Multilocularia bambusae,Multiseptospora thysanolaenae,Neophaeocryptopus cytisi,Ocellularia arachchigei,***,Ochronectria thailandica,Ophiocordyceps karstii,Parameliola acaciae,***,Parastagonospora cumpignensis,Pseudodidymosphaeria phlei,Polyplosphaeria thailandica,Pseudolachnella brevifusiformis,Psiloglonium macrosporum,Rhabdodiscus albodenticulatus,Rosellinia chiangmaiensis,Saccothecium rubi,Seimatosporium pseudocornii,***,Sigarispora ononidis and Towyspora *** combinations are provided for Eutiarosporella dactylidis(sexual morph described and illus trated)and Pseudocamarosporium ***,illustrations and/or reference specimens are designated for Aposphaeria corallinolutea,Cryptovalsa ampelina,Dothiorella vidmadera,Ophiocordyceps formosana,P

关键词： Ascomycota Basidiomycota Neocallimastigomycota Oomycota.Zygomycota Phylogeny Taxonomy New genus New species

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Linear-quadratic cost function for dynamic system modelling using recurrent neural networks

Linear-quadratic cost function for dynamic system modelling ...

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International Conference on Computer, Control, Informatics and Its Applications (IC3INA)

作者： Erwin Sitompul Study Program Electrical Engineering Faculty of Engineering President University Bekasi Indonesia

A new idea to improve the performance of neural networks in modelling is presented in this paper. As the networks obtain their knowledge through learning process, it can be influenced through stronger optimization or more suited cost function to be minimized. In this paper, the implementation of linear-quadratic cost function is proposed. This cost function comprises of quadratic and linear function. By applying the linear function to errors greater than a certain threshold, the network becomes more rigid and less sensitive to measurement outliers and disturbances in the form of impulses or spikes. Simulative experiment using a strongly non-linear dynamic system was conducted and the proposed cost function is proved to be effective and enables the network to cope with measurement data with disturbance impulses.

关键词： Cost function Neurons Biological neural networks Data models Mathematical model Jacobian matrices

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Adaptive Neural Networks for Nonlinear Dynamic Systems Identification

Adaptive Neural Networks for Nonlinear Dynamic Systems Ident...

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International Conference on Computational Intelligence, Modelling and Simulation (CSSIM)

作者： Erwin Sitompul Faculty of Engineering President University Bekasi Study Program Electrical Engineering Indonesia

A new scheme for adaptive neural networks for nonlinear dynamic system identification is proposed in this paper. The network of structure multi-layer perceptron with external recurrence is trained offline at first to get the initial network parameters. The parameters of the network are classified into short-term memory part and long-term memory part. The short-term memory part includes the parameters which are linear to the network output. In the implementation, the network is validated in each sampling time using a set of new measurement data. Training procedure will be executed if the model error exceeds a specified value and the short-term memory part will be adjusted. The application in modelling of room thermal behaviour demonstrates the performance of the proposed scheme.

关键词： Atmospheric modeling Temperature measurement Actuators Temperature sensors Data models Neural networks Neurons

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Vulnerability and economic considerations in designing network topology

Vulnerability and economic considerations in designing netwo...

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International Conference on QiR (Quality in Research)

作者： Antonius Suhartomo Study Program of Electrical Engineering Faculty of Engineering President University - Kota Jababeka Bekasi Indonesia

Technological developments change the way of life of all people in interacting with each other, regardless of distance and time. One such interaction is the activity of the exchange of information through communication networks, which are either one-way or two-way with a variety of information, such as voices, images, and data, with the desire to have a fast and reliable delivery. If G(V, E) represents a graph or a network with a number of nodes, V = n, and the number of links, E = e, then assume the nodes are reliable and the links can fail. We investigate new parameter of connectivity called “k-component order edge-connectivity” or “component order edge-connectivity”, denoted by λ (k)c , in which within each type of topology is then compared such as in the topology of path, cycle, star, complete, and wheel networks, then choose the best selection in vulnerability and economic point of views.

关键词： Communication networks Network topology Wheels Investment Topology Reliability Economics

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Compost-Soil Mixture Respiration and Organic Carbon Degradation

Compost-Soil Mixture Respiration and Organic Carbon Degradat...

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The 1nd Symposium of International Waste Working Group Asian Regional Branch (IWWG-ARB)(国际固体废物工作组亚洲区域第一届研讨会)

作者： Emenda Sembiring Dwina Lubna Environmental Engineering Study Program Faculty of Civil and Environmental EngineeringBandung Institute of TechnologyIndonesia

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FANTOM5 CAGE profiles of human and mouse samples

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Scientific Data 2017年第1期4卷 1-10页

作者： Noguchi, Shuhei Arakawa, Takahiro Fukuda, Shiro Furuno, Masaaki Hasegawa, Akira Hori, Fumi Ishikawa-Kato, Sachi Kaida, Kaoru Kaiho, Ai Kanamori-Katayama, Mutsumi Kawashima, Tsugumi Kojima, Miki Kubosaki, Atsutaka Manabe, Ri-Ichiroh Murata, Mitsuyoshi Nagao-Sato, Sayaka Nakazato, Kenichi Ninomiya, Noriko Nishiyori-Sueki, Hiromi Noma, Shohei Saijyo, Eri Saka, Akiko Sakai, Mizuho Simon, Christophe Suzuki, Naoko Tagami, Michihira Watanabe, Shoko Yoshida, Shigehiro Arner, Peter Axton, Richard A. Babina, Magda Kenneth Baillie, J. Barnett, Timothy C. Beckhouse, Anthony G. Blumenthal, Antje Bodega, Beatrice Bonetti, Alessandro Briggs, James Brombacher, Frank Carlisle, Ailsa J. Clevers, Hans C. Davis, Carrie A. Detmar, Michael Dohi, Taeko Edge, B. Albert S. Edinger, Matthias Ehrlund, Anna Ekwall, Karl Endoh, Mitsuhiro Enomoto, Hideki Eslami, Afsaneh Fagiolini, Michela Fairbairn, Lynsey Farach-Carson, Mary C. Faulkner, Geoffrey J. Ferrai, Carmelo Fisher, Malcolm E. Forrester, Lesley M. Fujita, Rie Furusawa, Jun-Ichi Geijtenbeek, Teunis B. Gingeras, Thomas Goldowitz, Daniel Guhl, Sven Guler, Reto Gustincich, Stefano Ha, Thomas J. Hamaguchi, Masahide Hara, Mitsuko Hasegawa, Yuki Herlyn, Meenhard Heutink, Peter Hitchens, Kelly J. Hume, David A. Ikawa, Tomokatsu Ishizu, Yuri Kai, Chieko Kawamoto, Hiroshi Kawamura, Yuki I. Kempfle, Judith S. Kenna, Tony J. Kere, Juha Khachigian, Levon M. Kitamura, Toshio Klein, Sarah Peter Klinken, S. Knox, Alan J. Kojima, Soichi Koseki, Haruhiko Koyasu, Shigeo Lee, Weonju Lennartsson, Andreas MacKay-Sim, Alan Mejhert, Niklas Mizuno, Yosuke Morikawa, Hiromasa Morimoto, Mitsuru Moro, Kazuyo Morris, Kelly J. Motohashi, Hozumi Mummery, Christine L. Nakachi, Yutaka Nakahara, Fumio Nakamura, Toshiyuki Nakamura, Yukio Nozaki, Tadasuke Ogishima, Soichi Ohkura, Naganari Ohno, Hiroshi Ohshima, Mitsuhiro Okada-Hatakeyama, Mariko Okazaki, Yasushi Orlando, Valerio Ovchinnikov, Dmitry A. Passier, Robert Patrikakis, Margaret Pombo, Ana Pradhan-Bhatt, Swati Qin, Xian-Yang Rehli, Michael Rizzu, Patrizia Roy, S Division of Genomic Technologies RIKEN Center for Life Science Technologies Yokohama Kanagawa 230-0045 Japan RIKEN Omics Science Center Yokohama Kanagawa 230-0045 Japan Department of Medicine Karolinska Institutet Stockholm 14186 Sweden Karolinska University Hospital Center for Metabolism and Endocrinology Stockholm 14186 Sweden Scottish Centre for Regenerative Medicine University of Edinburgh 5 Little France Drive Edinburgh EH164UU United Kingdom Department of Dermatology and Allergy Charite University Medicine Berlin Charitéplatz 1 Berlin 10117 Germany Roslin Institute and Royal School of Veterinary Studies University of Edinburgh Edinburgh EH259RG United Kingdom Australian Infectious Diseases Research Centre University of Queensland St Lucia 4072 QLD Australia School of Chemistry and Molecular Biosciences University of Queensland St Lucia 4072 QLD Australia Bio-Rad Laboratories Pty Ltd Hercules 94547 CA United States University of Queensland Diamantina Institute University of Queensland Woolloongabba 4102 QLD Australia IRCCS Fondazione Santa Lucia Via del Fosso di Fiorano 64 Rome 00143 Italy Australian Institute for Bioengineering and Nanotechnology University of Queensland Brisbane St Lucia 4072 QLD Australia Division of Immunology Institute of Infectious Diseases and Molecular Medicine University of Cape Town Anzio Road Observatory 7925 South Africa Immunology of Infectious Diseases Faculty of Health Sciences South African Medical Research Council University of Cape Town Anzio Road 7925 South Africa International Centre for Genetic Engineering and Biotechnology Cape Town Component Anzio Road 7925 South Africa Hubrecht Institute Royal Netherlands Academy of Arts and Sciences Uppsalalaan 8 3584 Netherlands University Medical Centre Utrecht Postbus 85500 Utrecht 3508 Netherlands Genomics Cold Spring Harbor Laboratory Cold Spring Harbor New York 11797 NY United States Institute of Pharmaceutical Sciences ETH Zurich Vladi

In the FANTOM5 project, transcription initiation events across the human and mouse genomes were mapped at a single base-pair resolution and their frequencies were monitored by CAGE (Cap Analysis of Gene Expression) coupled with single-molecule sequencing. Approximately three thousands of samples, consisting of a variety of primary cells, tissues, cell lines, and time series samples during cell activation and development, were subjected to a uniform pipeline of CAGE data production. The analysis pipeline started by measuring RNA extracts to assess their quality, and continued to CAGE library production by using a robotic or a manual workflow, single molecule sequencing, and computational processing to generate frequencies of transcription initiation. Resulting data represents the consequence of transcriptional regulation in each analyzed state of mammalian cells. Non-overlapping peaks over the CAGE profiles, approximately 200,000 and 150,000 peaks for the human and mouse genomes, were identified and annotated to provide precise location of known promoters as well as novel ones, and to quantify their activities.

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Synthesis of Biodiesel from Second-Used Cooking Oil

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Energy Procedia 2013年 32卷 190-199页

作者： Wanodya Asri Kawentar Arief Budiman Master Program of System Engineering Faculty of Engineering Gadjah Mada University Yogyakarta Indonesia Chemical Engineering Department Gadjah Mada University Yogyakarta Indonesia

These days, many used cooking oils from restaurants were re-used by street sellers to fry their food. Those waste oils commonly just throw away. Whereas waste oils which have not any treatment first, will pollute the environment. One of the ways to treat the waste oil is by converting to biodiesel. This research aimed to study the kinetic reaction of second-used cooking oil transesterification into biodiesel and find the optimum condition of its process. This research was done by transesterification reaction in batch reactor. The feedstock was collected from the street sellers in Yogyakarta. Methanol was used as a reactant and KOH was used as a base catalyst. The study parameters were temperature, alcohol to oil molar ratio, and catalyst concentration. Several types of analysis used were free glycerol analysis, total glycerol analysis, free fatty acid (FFA) analysis, and saponification analysis. These analyses were used to calculate the yield of conversion and ester content of biodiesel sample. From this research, it is found that the kinetic reaction of second-used cooking oil transesterification can be expressed by k = 0.0251exp (-15.29/RT) dm3/(***). The optimum condition (the ester content 92.76%) of biodiesel production were obtained at temperature 66.5oC, molar ratio of methanol to oil 6.18:1, and 1 wt.% KOH.

关键词： Biodiesel Second-used cooking oil Transesterification Reaction kinetic

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Occurence of Long-chain n- Alkanes in MuaraWahau Coal, Upper Kutai Basin, Indonesia

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Procedia Earth and Planetary Science 2013年 6卷 38-41页

作者： Basuki Rahmad Komang Anggayana Sudarto Notosiswoyo Sri Widodo Agus Haris Widayat Study Program of Mining Engineering Faculty of Mining and Petroleum Engineering Institute Technology Bandung Indonesia Research Group of Earth Resources Exploration Faculty of Mining and Petroleum Engineering Institute Technology Bandung Indonesia

MuaraWahau coal belongs to Wahau Formation which was deposited during Early Miocene in terrestrial environments. Organic geochemistry study has been performed to characterize the biomarker composition of the coal. Saturated hydrocarbon fraction comprises n-alkanes with carbon numbers from 14 to 40. Bimodal distribution peaking at n-C16 and n-C31 are detected. Additionally, unusual peak is also remarkable at n-C38. The long chain n- alkanes peaking at n-C31 might be derived from higher plants. The origin of short chain n-alkanes (n-C14 to n-C21) are less specific, probably originate from higher plants and/or algae. Other related identified biomarkers which confirm the significant contribution of higher plants are olean-13(18)-ene, olean-18-ene and urs-12-ene. The presence of longer-chain n-alkanes especially unusual high amount of n-C38 is interesting to be noted as this compound has been reported only from some Kalimantan coals. Considering the abundance of higher plants biomarkers in MuaraWahau coal, it is hypothesized that the C38 n-alkane was likely derived also from higher plants.

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