Bourbon to Help Build Worlds 1st Autonomous OSV

first_imgzoom Offshore services company Bourbon has entered into a Memorandum of Understanding (MOU) with Automated Ships Ltd to support the building of the Hrönn, the world’s first autonomous, fully-automated prototype vessel for offshore operation.The project will also include the support from the project’s primary technology partner, Kongsberg which will deliver all major marine equipment necessary for the design, construction and operation of Hrönn, including all systems for dynamic positioning and navigation, satellite and position reference, marine automation and communication.Its vessel control systems including K-Pos dynamic positioning, K-Chief automation and K-Bridge ECDIS and Radar will be replicated at an Onshore Control Centre, allowing full remote operations of Hrönn, the company informed.“Bourbon will leverage its expertise in building and operating a standardised fleet to provide detailed input to the development and design of the Hrönn project, ensuring flexibility, reliability and cost efficiency to operate safely and effectively in the demanding offshore environment,” the company said.Hrönn is described as a light-duty, offshore utility ship servicing the offshore energy, hydrographic & scientific and offshore fish-farming industries. It can also be utilised as a ROV and AUV support ship and standby vessel, able to provide firefighting support to an offshore platform working in cooperation with manned vessels.Automated Ships has progressed the original catamaran design of Hrönn since the project launch on 1st November 2016, opting for a monohulled vessel of steel construction, to provide more payload capacity and greater flexibility in the diverse range of operations.In the second phase of the project, Bourbon and ASL intend to look for subsidies to finance the effective construction of the prototype.Bourbon’s entry to the Hrönn project, follows the recent joining of forces with Kongsberg on developing digital solutions for next generation connected and autonomous vessels.Hrönn’s sea trials are scheduled to take place in Norway’s officially designated automated vessel test bed in the Trondheim fjord and will be conducted under the auspices of DNV GL and the Norwegian Maritime Authority (NMA). The Hrönn will ultimately be classed and flagged, respectively.last_img read more

BNP leader Tasvir arrested over FR Tower design forgery


Dumping garbage may cost Kolkata citizens up to Rs 1 lakh

first_imgKolkata: Citizens may have to shell out a maximum fine of Rs 1 lakh for littering in public places, as the West Bengal Assembly passed a Bill to enhance the penalty for offenders. The penalty has been raised through an amendment to section 338 of the Kolkata Municipal Corporation (second amendment) Act which was passed in the Assembly Thursday. The move comes after Chief Minister Mamata Banerjee expressed her displeasure after finding out the newly inaugurated Dakshineswar skywalk was stained with betel juice. Also Read – Rain batters Kolkata, cripples normal life The Bill proposed to impose a minimum fine of Rs 5,000 and a maximum penalty of Rs 1 lakh fine on litterbugs. The earlier law stipulated that minimum penalty for dumping garbage was Rs 50 and the maximum fine was Rs 5,000. It also came on a day, state Urban Development Municipal Affairs Minister Firhad Hakim was elected the new mayor of Kolkata after the exit of Sovan Chatterjee, on the directions of Chief Minister and TMC chief Mamata Banerjee. Banerjee had formed a 11-member committee on Wednesday to check spitting and littering in public places. Hakim said, he will take up a major awareness drive to keep the city clean. A senior citizen, who did not wish to be named, said “The city had earlier failed to impose a fine of Rs 50 for littering, I am not sure how effective it will be this time.”last_img read more

Gurgaon mothers create magic on stage

first_imgGiving Delhi a comical kick, Magic Creations Moms’ Theatre Group in association with Fenesta Windows and Amplifon presented ‘Shh.. Kaun?!, a play that amalgamates suspense, drama, comedy, romance, and mystery altogether.Held at the LGT auditorium on October 27, the play was staged by an all mothers group of Gurgaon, who came together to claim their ‘creative kick’ back in life. The play is scripted, designed and directed by Binod Sharma whereas the choreography and music are given by Jitendra Bisht. The story revolves around five individuals who are bored of life and are looking to do something different. Fate gets them together and they decide to start a resort in Chamba, Uttarakhand. Guests start coming in and each of them has a different experience altogether. Creepy, scary, funny, mysterious …What is this all about? What is the mystery of the resort? What is the story behind it? The play answers all these questions. The story keeps the viewer gripped, seeking more with each passing scene. The play also imbibes a strong message that evolves as the story progresses. Also Read – Add new books to your shelfThe concept, which has not been picked by the directors for live theatres since ages, and the execution involving amazing visual effects, makes it a pleasure to watch.Talking about the Moms’ Theatre Group, Geetika Goyal, founder, says, “Our thought behind the launch of this group was to give the mothers in Gurgaon a creative corner, where they come, unwind and discover themselves all over again. As of now, the group is of 20 passionate mothers who have come to challenge themselves and find some ‘ME’ time while taking a break from their everyday routine.” Among the important guests, Alok Mittal, IPS, Inspector General – National Investigation Agency (NIA), Manoj Rajput, Actor, D R Ankur, Ex-Director NSD, and NSD’s faculty Saoti Chakrabarty and senior NSDian, writer and director Sushila Varnekar, marked their presence at the event.last_img read more

TensorFlow 190rc0 release announced

first_imgTensorFlow Community keeps rolling with updates. The first release candidate for next minor version release 1.9.0 is unveiled today with pretty good list of features, improvements and bug fixes. In its previous version 1.8.0 release, the team paid more attention towards supporting GPU memory, running on multiple GPUs and cloud performance. In today’s release, the team were strong in adding support to Keras, gradient estimators and improvement in the layers. Major features and improvements in TensorFlow 1.9.0-rc0: Updated tf.keras to the Keras 2.1.6 API. tfe.Network is deprecated and can be inherited from tf.keras.Model. Added support of core feature columns and losses to gradient boosted trees estimators. The distributions.Bijector API supports broadcasting for Bijectors with new API changes. Layered variable names changed Bug Fixes in TensorFlow 1.9.0-rc0: The DatasetBase::DebugString() method is now const. Added the API for randomly sampling from multiple datasets. Eager Execution and Accelerated Linear Algebra (XLA) fixed. tf.keras.Model.save_weights by default saves in TensorFlow format. TensorFlow Debugger (tfdbg) CLI fixed. Added “constrained_optimization” to tensorflow/contrib. tf.contrib.framework.zero_initializer supports ResourceVariable. supports line breaks in quoted strings. Miscellaneous changes: Added GCS Configuration Ops. MakeIterator signature changed to enable propagating error status. KL divergence for two Dirichlet distributions. More consistent GcsFileSystem behavior for reads past EOF. Added Benchmark for tf.scan in graph and eager modes. Added complex128 support to FFT, FFT2D, FFT3D, IFFT, IFFT2D, and IFFT3D. Support for preventing tf.gradients() from backpropagating through integer tensors. Supports indicator column in boosted trees. Conv3D, Conv3DBackpropInput, Conv3DBackpropFilter now supports arbitrary. LinearOperator[1D,2D,3D]Circulant added to tensorflow.linalg. Allows LinearOperator to broadcast. For the complete list of bug fixes and improvements, you can read TensorFlow’s Github page. You can also download the source code to access all the exciting features of TensorFlow 1.9.0-rc0. Read Next Implementing feedforward networks with TensorFlow How TFLearn makes building TensorFlow models easier Distributed TensorFlow: Working with multiple GPUs and serverslast_img read more