![]() ![]() The Kremlin's spokesman said Putin had ordered a commission to be set up to look into the blast. But in a later statement, he appeared to suggest Moscow had a hand in the blast, noting the truck that detonated "entered the bridge from the Russian side". "Crimea, the bridge, the beginning," he wrote. Zelensky's adviser Mykhailo Podolyak posted a picture on Twitter of a long section of the bridge half-submerged. While some in Moscow hinted at Ukrainian "terrorism", state media continued to call it an "emergency situation". President Vladimir Putin personally inaugurated the structure in 2018 - even driving a truck across - and Moscow had maintained the link was safe despite the fighting. 'Emergency situation' - The bridge is logistically crucial for Moscow, a vital transport link for carrying military equipment to Russian soldiers fighting in Ukraine. Authorities had identified the owner of the truck as a resident of Russia's southern Krasnodar region, saying his home was being searched. Following the blast, the bodies of an unidentified man and a woman were pulled out of the water, likely passengers in a car driving near the exploded truck, Moscow said. But Zelensky did not directly mention it in his nightly address and officials made no claim of responsibility. The 19-kilometre (12-mile) bridge was attacked at dawn, sparking celebrations from Ukrainians and others on social media, where dramatic footage showed it burning with a road section plunging into the water. Russia on Saturday said traffic had resumed over the strategic link symbolising the Kremlin's 2014 annexation of Crimea. "First results" of Russia's inspection of the bridge were due Sunday, he added. "We are ordering the examination by divers, they will start work from six in the morning," Russia's Deputy Prime Minister Marat Khusnullin announced. Divers were to inspect the waters beneath the giant Crimea bridge Sunday a day after a truck bomb ignited a massive fire on the road and rail link, killing three people. Zelensky denounced the "merciless strikes on peaceful people" and residential buildings as "absolute evil" perpetrated by "savages and terrorists". Regional official Oleksandr Starukh posted pictures of heavily damaged apartment blocks on Telegram and said a rescue operation had been launched to find victims under the rubble. ![]() At least 17 people including a child also died when seven Russian missiles hit the centre of the industrial city earlier this week. City council secretary Anatoliy Kurtev, provided a higher death toll of 17. Zelensky said 12 people had died and 49 people, including six children, were in hospital after Russian missiles again hit Zaporizhzhia. The reports came a day after a key bridge linking Russia with the annexed Crimea peninsula was partially destroyed by an explosion, and as the Kremlin replaced its top general amid major battlefield setbacks in Ukraine. An overnight Russian missile strike killed at least 12 people in Zaporizhzhia, authorities said on Sunday, in the latest deadly attack to hit the southern Ukrainian city that President Volodymyr Zelensky called "absolute evil". ![]()
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![]() ![]() General Options -h -helpĭebug mode, print debug information Special Options -I -ignore-errors convert even if file is corrupted (advanced users only, see disclaimers). n -number-resolution %d set number of resolution. Jpeg-Ls Options -e -allowed-error %*i set allowed error. S -split %d Write 2D image with multiple fragments (using max size) Jpeg Options -q -quality %*f set quality. Y -lossy Use the lossy (if possible) compressor. ![]() planar-configuration Change planar configuration. compress-icon Decide whether icon follows main TransferSyntax or remains uncompressed. icon-auto-minmax Automatically compute best Min/Max values for icon. icon-minmax %d,%d Min/Max value for icon. F -force Force decompression/merging before recompression/splitting. R -rle Compress image in rle (lossless only). d -deflated Compress using deflated (gzip). P -photometric-interpretation %s Change Photometric Interpretation (when possible). decompress-lut Decompress LUT (linearize segmented LUT). 8 -apply-lut8 Apply LUT/RGB8 (non-standard, advanced user only). Image Options -l -apply-lut Apply LUT (non-standard, advanced user only). remove-private-tags Remove private tags. ![]() remove-gl Remove group length (deprecated in DICOM 2008). C -check-meta Check File Meta Information (advanced user only). with-private-dict Use private dict for VR (advanced user only). U -use-dict Use dict for VR (only public by default). M -implicit Change Transfer Syntax to implicit. o -output DICOM filename Specific Options -X -explicit Change Transfer Syntax to explicit. Parameters file-in DICOM input filenameįile-out DICOM output filename Options -i -input DICOM filename The command line option dictate the type of operation(s) gdcmconv will use to generate the output file. The gdcmconv command line program takes as input a DICOM file (file-in) and process it to generate an output DICOM file (file-out). Synopsis gdcmconv file-in file-out Description Decompressing a Compressed DICOM as implicit. ![]() ![]() ![]() Updates: official site does not provide any info about changes in this version. Saving the files with specified naming will allow the users to manage the converted items quickly, easily and effectively. ![]() This file naming option will only enabled in this OLM Converter application when we choose to create single files for each item like if you select to convert OLM to PDF, HTML, XPS, RTF, EML, EMLX, MHT, RTF etc, then this OLM Converter utility will asks you to save their names in a desired pattern. The file naming option allows user to manage large number of files after OLM Conversion. 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We show perhaps the surprising result that robustly finding a maximum independent set in a well-covered graph (i.e., a graph in which every maximal independent set is of the same size) is NP-hard. There exist problems that have a polynomial time promise solution, while being NP-hard if required to be robust. This is to be contrasted with the “promise” version of solving problems on restricted domains, in which there is a guarantee that the input is in the class, and an algorithm to “solve” the problem need not function correctly or even terminate if this guarantee is not met. Under this definition, an algorithm is required to be “robust,” i.e., it must produce correct output regardless of whether the input actually belongs to the restricted domain or not. ![]() We introduce a new definition of efficient algorithms for restricted domains. We then demonstrate in the third part how comparability graphs and interval graphs can be used for solving specific applied problems such as the seriation problem in archeology or certain scheduling problems over partially ordered sets. Again, we represent algorithmic methods for interval graph recognition and for solving combinatorial optimization problems on these graphs. The second part deals with the related class of interval graphs, which are exactly the incomparability graphs of interval orders. Topics dealt with are algorithmic methods and the necessary theoretical background for comparability graph recognition, for constructing all partial orders with the same comparability graphs, for decomposing comparability graphs and partial orders, for determining comparability invariants such as order dimension or jump number by decomposition, and for solving combinatorial optimization problems on comparability graphs. The first part of the paper gives a survey of this second aspect of comparability graphs. They constitute an important interface between graphs and partial orders both for theoretical investigations on their structural properties, and the development of efficient algorithmic methods for otherwise NP-hard combinatorial (optimization) problems on partial orders and their comparability graphs. The report also presents a hierarchy of dynamic networks based on dynamic graph properties, thereby offering a combinatorial alternative to the well-known mobility models typically used in simulations.Ĭomparability graphs are undirected graphs that represent the comparability relation of partial orders. We extend many graph theoretical concepts towards a dynamic variant and show how these new variants impact the solution of classical distributed problems. These tools include a dynamic graph formalism, various computational models, and communication models for distributed networks. In this report, we identify a collection of recent theoretical tools whose purpose is to model, describe, and leverage dynamic networks in a formal way. As a result, it is hard and sometimes impossible to guarantee, mathematically, that a given algorithm will reach its objectives once deployed in real conditions. Unfortunately, few theoretical tools to date have enabled the study of dynamic networks in a formal and rigorous way. This trend exists both in everyday life (e.g., smartphones, vehicles, and commercial satellites) and in a military context (e.g., dismounted soldiers or swarms of UAVs). By a case study using the IEEE 802.11 protocol as the underlying CSMA protocol, the proposed scheme pleads itself as a more efficient alternative to the RTS/CTS based collision avoidance scheme for large and dense multi-hop ad hoc networks with stationary nodes, such as wireless mesh and sensor networks.The number of telecommunication networks deployed in a dynamic environment is quickly growing. We provide a general framework for the SLICON scheme and compare its performance to the conventional RTS/CTS-based collision avoidance scheme. The contention among neighbors can be handled much more efficiently by a basic CSMA protocol as if operating in a single-hop network. In this work, we propose a novel hybrid channel access scheme that spatially limits the contention in the network such that 2-hop neighbors access the channel contention-free among each other whereas only the immediate neighbors may contend among each other. With rapid developments in the community mesh networks and wireless sensor networks research, the need for more efficient channel access techniques for multi-hop wireless networks has become eminent. ![]() |
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