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Compost-Soil Mixture Respiration and Organic Carbon Degradation

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

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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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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A stochastic-fuzzy programming model with soften constraints for electricity generation planning with greenhouse-gas abatement

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International Journal of Energy Research 2013年第8期37卷 843-856页

作者： Li, Y.P. Huang, G.H. MOE Key Laboratory of Regional Energy Systems Optimization S-C Resources and Environmental Research Academy North China Electric Power Univ Beijing 102206 China Formerly at Environmental Systems Engineering Program Faculty of Engineering and Applied Science Univ. of Regina Regina Saskatchewan S4S 0A2 Canada

Increased atmospheric CO2 concentration is widely being considered as the main driving factor that causes the phenomenon of global warming, due to the ever-boosting use of fossil fuels. In this study, a fuzzy-stochastic programming model with soft constraints (FSP-SC) is developed for electricity generation planning and greenhouse gas (GHG) abatement in an environment with imprecise and probabilistic information. The developed FSP-SC is applied to a case study of long-term planning of a regional electricity generation system, where integer programming technique is employed to facilitate dynamic analysis for capacity expansion within a multi-period context to satisfy increasing electricity demand. The results indicate different relaxation levels can lead to changed electricity generation options, capacity expansion schemes, system costs, and GHG emissions. Several sensitivity analyses are also conducted to demonstrate that relaxation of different constraints have different effects on system cost and GHG emission. Tradeoffs among system costs, resource availabilities, GHG emissions, and electricity-shortage risks can also be tackled with the relaxation levels for the objective and constraints. © 2012 John Wiley & Sons, Ltd.

关键词： Greenhouse gases

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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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The encroachment of rubber plantation and the risk of the spread out of rice bug in Phatthalung province, Southern Thailand

The encroachment of rubber plantation and the risk of the sp...

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34th Asian Conference on Remote Sensing 2013, ACRS 2013

作者： Tibkaew, Anisara Pensuk Pimsen, Tharnsawat Thongdara, Romanee Department of Plant Science Faculty of Technology and Community Development Thaksin University Thailand Sustainable of Agricultural Resources Management Program Faculty of Technology and Community Development Thaksin University Thailand Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Puttamonthon NakornPathom Thailand

ISBN: (纸本)9781629939100

This research was studied in the relationship of factors affecting the spread out of the rice bug by developing the mathematic equation in order to estimate the rice bug spread risk. The household and field survey showed that the weed on rubber plantation is one of the important factors as the bug use for their habitat. Therefore, the distance from rubber plantation plays an important role on the severity of the spread out and the outbreak of the rice bug. The mathematic equation expresses the relationship between the distance from rubber plantation and the number of the rice big found from the study was: y = -0.3678x + 94.419 (y = number of the rice bug and x = distance from rubber plantation). After applying the equation to the study area we can obtain the risk of rice bug spread out map of two important rice growing district of Phatthalung province. About 64.7% of total rice area of Paphayom district has been forecasted according to the equation as the moderately risk of the spread out of the rice bug (20-60 bugs/sqm), whereas more than half of the total rice growing area of Khuankanun district was forecasted as light and very light severity.

关键词： Rubber

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Assessment of Paleo-hydrology and Paleo-inundation Conditions: The Process

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Procedia environmental Sciences 2014年 20卷 747-752页

作者： Pingping Luo Kaoru Takara Bin He Weili Duan Apip Daniel Nover Watanabe Tsugihiro Kenichi Nakagami Izumi Takamiya Disaster Prevention Research Institute (DPRI) Kyoto University Gokasho Uji-shi Kyoto 611-0011 Japan Department of Civil and Earth Resources Engineering Graduate School of Engineering Kyoto University Kyoto Japan AAAS Science and Technology Policy Fellow U.S. Environmental Protection Agency Global Change Research Program Washington D.C. WA USA Graduate School of Global Environmental Studies Kyoto University Sakyo-ku Kyoto 606-8501 Japan Graduate School of Policy Science & College of Policy Science Ritsumeikan University Kyoto Japan Faculty of Literature Arts and Cultural Studies Kinki University Osaka Japan

Paleo-hydrology is an important study which simulates the historical hydrology at the lack of observed period, calibrated at the present period and predicted the future hydrological condition. The study of paleo-hydrology is to obtain the historical evidence for the present hydrology and improve the accuracy of the statistical analysis and the prediction modeling assessment. Paleo-inundation assessment is the study of historical inundation under flood events which occurred prior to direct measurement of hydrologic parameters using modern methods. The ultimate objectives of this study were to estimate paleo-inundation under extreme floods using historical literature and incomplete data records. This paper focused on an application of estimating historical inundation conditions under paleo-floods using modern technologies at the river basin scale.

关键词： Paleo-inundation Paleo-hydrology Nile River basin Flo-2D flood risk management

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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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