3,112 research outputs found

    Parallelised max-log-MAP model

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    A paralleliscd max-Log-MAP model (P-max-Log-MAP) that exploits the sub-word parallelism and very long instruction word architccture of a microprocessor or a digital signal processor (DSP) is presented. The proposed model rcduccs considerably thc computational complexity of the max-Log-MAP algorithm; valid therefore facilitates easy implementation

    Diversifikasi Olahan Makanan Berbasis Ikan Menjadi Produk Kaki Naga Bagi Ibu-Ibu Nelayan Desa Aron Tunggai Kecamatan Meukek Kabupaten Aceh Selatan

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    Progam Pengabdian ini bertujuan untuk meningkatkan jumlah partisipasi dan motivasi ibu-ibu nelayan dalam meningkatkan kemampuan dan keterampilan teknis pengolahan ikan yang berbasis sumber daya lokal. Tujuan khususnya adalah meningkatkan keterampilan bagi ibu-ibu nelayan dalam teknis diversifikasi produk olahan ikan salah satunya adalah kaki naga yang dapat dikembangkan menjadi salah satu usaha yang dapat mendatangkan pendapatan dan nilai tambah keluarga.  Sasaran kegiatan ini di arahkan pada kelompok wanita kaum ibu-ibu nelayan. Metode yang di gunakan dalam kegiatan ini di mulai dengan melakukan penyuluhan pentingnya diversifikasi produk olahan ikan, dengan menjelaskan materi tentang macam-macam diversifikasi, pelatihan dan pendampingan pembuatan kaki naga ikan. melakukan praktek pembuatan kaki naga dari ikan tongkol, evaluasi dan pengemasan. Pembuatan kaki naga dari ikan tongkol akan menjadi alternatif pendapatan dan menambah nilai ekonomi masyarakat Aron Tunggai dengan bahan baku dan proses produksinya yang murah dan praktis. Hasil evaluasi dari kegiatan pelatihan dan praktek sampai pengemasan nya, ibu-ibu di desa Aron Tunggai sangat antusias dalam membuat produk kaki naga dan menciptakan rasa yang baru dan enak, dan ingin membuat produk olahan tersebut di rumah masing-masing dan pengembangan produk olahan perikanan untuk meningkatkan nilai ekonomi keluarga, dan mau menjadikan produk ini sebagai bentuk usaha dan berwirausaha

    Joint Resource Optimization for Multicell Networks with Wireless Energy Harvesting Relays

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    This paper first considers a multicell network deployment where the base station (BS) of each cell communicates with its cell-edge user with the assistance of an amplify-and-forward (AF) relay node. Equipped with a power splitter and a wireless energy harvester, the self-sustaining relay scavenges radio frequency (RF) energy from the received signals to process and forward the information. Our aim is to develop a resource allocation scheme that jointly optimizes (i) BS transmit powers, (ii) received power splitting factors for energy harvesting and information processing at the relays, and (iii) relay transmit powers. In the face of strong intercell interference and limited radio resources, we formulate three highly-nonconvex problems with the objectives of sum-rate maximization, max-min throughput fairness and sum-power minimization. To solve such challenging problems, we propose to apply the successive convex approximation (SCA) approach and devise iterative algorithms based on geometric programming and difference-of-convex-functions programming. The proposed algorithms transform the nonconvex problems into a sequence of convex problems, each of which is solved very efficiently by the interior-point method. We prove that our algorithms converge to the locally optimal solutions that satisfy the Karush-Kuhn-Tucker conditions of the original nonconvex problems. We then extend our results to the case of decode-and-forward (DF) relaying with variable timeslot durations. We show that our resource allocation solutions in this case offer better throughput than that of the AF counterpart with equal timeslot durations, albeit at a higher computational complexity. Numerical results confirm that the proposed joint optimization solutions substantially improve the network performance, compared with cases where the radio resource parameters are individually optimized

    Individuality and slow dynamics in bacterial growth homeostasis

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    Microbial growth and division are fundamental processes relevant to many areas of life science. Of particular interest are homeostasis mechanisms, which buffer growth and division from accumulating fluctuations over multiple cycles. These mechanisms operate within single cells, possibly extending over several division cycles. However, all experimental studies to date have relied on measurements pooled from many distinct cells. Here, we disentangle long-term measured traces of individual cells from one another, revealing subtle differences between temporal and pooled statistics. By analyzing correlations along up to hundreds of generations, we find that the parameter describing effective cell-size homeostasis strength varies significantly among cells. At the same time, we find an invariant cell size which acts as an attractor to all individual traces, albeit with different effective attractive forces. Despite the common attractor, each cell maintains a distinct average size over its finite lifetime with suppressed temporal fluctuations around it, and equilibration to the global average size is surprisingly slow (> 150 cell cycles). To demonstrate a possible source of variable homeostasis strength, we construct a mathematical model relying on intracellular interactions, which integrates measured properties of cell size with those of highly expressed proteins. Effective homeostasis strength is then influenced by interactions and by noise levels, and generally varies among cells. A predictable and measurable consequence of variable homeostasis strength appears as distinct oscillatory patterns in cell size and protein content over many generations. We discuss the implications of our results to understanding mechanisms controlling division in single cells and their characteristic timescalesComment: In press with PNAS. 50 pages, including supplementary informatio

    Unconventional superconductivity in CuxBi2Se3

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    We report point contact measurements in high quality single crystals of Cu0.2Bi2Se3. We observe three different kinds of spectra: (1) Andreev-reflection spectra, from which we infer a superconducting gap size of 0.6mV; (2) spectra with a large gap which closes above Tc at about 10K; and (3) tunneling-like spectra with zero-bias conductance peaks. These tunneling spectra show a very large gap of ~2meV (2Delta/KTc ~ 14)

    Spatial confinement of muonium atoms

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    We report the achievement of spatial confinement of muonium atoms (the bound state of a positive muon and an electron). Muonium emitted into vacuum from mesoporous silica reflects between two SiO2_2 confining surfaces separated by 1 mm. From the data, one can extract that the reflection probability on the confining surfaces kept at 100 K is about 90% and the reflection process is well described by a cosine law. This technique enables new experiments with this exotic atomic system and is a very important step towards a measurement of the 1S-2S transition frequency using continuous wave laser spectroscopy.Comment: 5 pages, 6 figure
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