Promotion what currently available, such as taxi vouchers, hailer cards etc. While these are available, they are not sufficiently known about.
How do people find out about these? Can they be promoted more widely and at relevant times? Are you surveying older people satisfaction of public transport? Do you think it is right to ask people to surrender their bus pass in order to qualify for the taxi voucher scheme?
Could both offers be flexible? Who can we can communicate with to get answers to questions and to be able to feed our ongoing concerns into transport planning? The British Muslim Heritage Centre BMHC is very proud that its work in building trust and finding common grounds between communities through shared heritage and culture has been recognised in this year Queen Award for Voluntary Service. The unique UK national honour was created by Her Majesty to mark the Golden Jubilee in and to recognise the outstanding contributions made to local communities by groups of volunteers.
It has enabled us to provide children with the opportunity to be part of a global organisation, the Scouts. Through our hard work, the children learn valuable skills which will take them into adulthood, skills such as: teamwork, time management, leadership, self-motivation, cultural awareness and commitment.
With over , visitors a year, benefiting from a range of services, the BMHC always welcomes and encourages people to come forward and support the many community projects on offer, such as BMHC Scouts Group, exhibitions, community radio, and over 30 different initiatives supporting youth, women and other groups. Notes to Editors For further press information, please contact us on or administrator bmhc. Registered Charity Number: These changes may include temporary changes to your work coach, the layout of the jobcentre and you being asked a few more questions when you attend about your digital skills.
As part of those changes all our customers will need to make sure they can access the new online Digital Service to complete their claims online and notify of us of changes to their circumstances.
You will be notified by letter of when the changes will affect you. If you are familiar with using digital online services, i. You will have an online Universal Credit account to manage your claim.
You can use your account to report changes, send messages to your work coach and find support. Eventually all claims will be on the full service and you will have a Universal Credit online account. You have a very inspiring place, attitude and experiences and the group visiting you expressed that in plenum. Manchester Cares is a brand new community network of young professionals and older neighbours hanging out and helping one another in our rapidly changing city. We do this because our home town of Manchester is a wonderful place, with innovation and influence, history and heart at its core.
But the city we love is now growing and changing at double speed, and that leaves some people feeling anonymous, isolated and left behind. For our older neighbours in particular, many of whom have spent a lifetime in their home neighbourhoods, the rush and pace of the city can often now feel too much. Getting around can be difficult, and trends including globalisation, gentrification, migration and digitisation are transforming communities faster than ever before.
The separation of those parallel worlds wastes human potential, entrenches loneliness and isolation, perpetuates social division and is ultimately corrosive for our society. Manchester Cares seeks to address this modern blight of disconnection by harnessing the people and places around us for the benefit of all. Cyril Flint, an elderly pensioner living on his own in the Trafford area, was a classic example of one such individual.
Having spent 20 lonely Christmas holidays on his own, since the passing of his wife, Cyril story not only evoked a wave of compassion within the community, but it also made us want to do something to help.
Setting up an informal befriending service, designed to help prevent social isolation, seemed like the perfect solution. Since its creation, our scheme has grown throughout the Manchester area and we now have an increasing number of active volunteers throughout the community. Also viewing for the first time will be the accompanying DVD documentry on the park, and brand new storyboards showing the history of the park from its construction through to the present day.
Please see the suggested activities for taster sessions below — or let us know about your own ideas! See the link to the printable survey here: Active Ageing Survey.
Contact Chris at agefriendlywhalleyrange gmail. A welcome from Scheme Manager, Gloria Thompson. Loren Grant of Foodwiser gave a presentation about food and nutrition: Foods to Remember — how food and lifestyle can help protect you from memory loss and dementia.
We were also really happy to welcome the Lord Mayor of Manchester, Councillor Carl Austin-Behan to the event to welcome everyone and to talk about the great work volunteers are doing in communities across Manchester — and of course to pose for photographs with everyone! Thanks to our Age-friendly photographer Anthony Morris — who has an exhibition of his photographs in Chorlton library from 3rdth of April. Photo: Andrea Marsden. We will provide updates when we can — but due to the current situation we have removed the current listings for now….
Our WOTR Christmas page will highlight the artists, crafts people, cooks, musicians who have lovely stuff to sell as Christmas Presents. Perhaps you can sell art works? Create an event whereby a musician will play outside a house for a private micro-concert great gift for neighbours or friends!
Some lovingly hand crafted things? A yoga class? A sample music lesson? A CD of your music or a download? We are not responsible for the buying and selling of goods and services.
Everyone needs to make their own decisions about the things on offer here. If you would like to join in by selling things you create, contact wotrange gmail. Dear Friends. Bach Partita in A minor and Image by Bozza. Doors will open at Please observe Covid rules of wearing a mask, hand sanitizing and keeping a distance of 2 metres and no socialising with people not in your bubble.
Sunday Services will resume on Sunday 6th December at With best wishes. Please email art4roofs outlook. People donating their own work can provide their online links for display on the auction site. Prints must be art quality. Non-Manchester donators who want the winning bidder to pay postage, please state the cost of posting to Manchester. Please enter your bid in a new comments box under the image of the work.
Regular Local Events Check with venues. Carlton Club Wednesday quiz night. The Carlton Club. LGBT and over 50? A dripping tap can waste more than 5, litres of water a year, so make sure your taps are properly turned off and change washers promptly when taps start to drip. Due to the different types of license plates being used, the requirement of an automatic license plate recognition system is different for each country.
In this paper, an automatic license plate recognition system is proposed for Malaysian vehicles with standard license plates using blob labeling and clustering for segmentation, seven popular and one proposed edge detectors for feature extraction and neural networks for classification.
There were eight experiments conducted using eight different edge detectors: Kirsch, Sobel, Laplacian, Wallis, Prewitt, Frei Chen and a proposed edge detector. The result had shown kirsch edge detectors is the best technique for feature exractor while the proposed achieved better results compared to Prewitt, Frei Chen and Wallis Arora, S.
Acharya, et al. A novel algorithm is proposed for segmenting an image into multiple levels using its mean and variance. Starting from the extreme pixel values at both ends of the histogram plot, the algorithm is applied recursively on sub-ranges computed from the previous step, so as to find a threshold level and a new sub-range for the next step, until no significant improvement in image quality can be achieved.
The method makes use of the fact that a number of distributions tend towards Dirac delta function, peaking at the mean, in the limiting condition of vanishing variance.
The procedure naturally provides for variable size segmentation with bigger blocks near the extreme pixel values and finer divisions around the mean or other chosen value for better visualization. Experiments on a variety of images show that the new algorithm effectively segments the image in computationally very less time. All rights reserved. Hae-Yeoun, L. Codella, et al. An automatic left ventricle LV segmentation algorithm is presented for quantification of cardiac output and myocardial mass in clinical practice.
The LV endocardium is first segmented using region growth with iterative thresholding by detecting the effusion into the surrounding myocardium and tissues. Then the epicardium is extracted using the active contour model guided by the endocardial border and the myocardial signal information estimated by iterative thresholding. The ITHACA algorithm agreed well with manual tracing with a mean difference of blood volume and myocardial mass being 2.
The difference was smaller than the difference between manual tracing and the MASS software approximately These experimental results support that the proposed ITHACA segmentation is accurate and useful for clinical practice.
Hammouche, K. Diaf, et al. The multilevel thresholding problem is often treated as a problem of optimization of an objective function. This paper presents both adaptation and comparison of six meta-heuristic techniques to solve the multilevel thresholding problem: a genetic algorithm, particle swarm optimization, differential evolution, ant colony, simulated annealing and tabu search.
Experiments results show that the genetic algorithm, the particle swarm optimization and the differential evolution are much better in terms of precision, robustness and time convergence than the ant colony, simulated annealing and tabu search. Among the first three algorithms, the differential evolution is the most efficient with respect to the quality of the solution and the particle swarm optimization converges the most quickly.
Horng, M. Image thresholding is an important technique for image processing and pattern recognition. Many thresholding techniques have been proposed in the literature.
Among them, the maximum entropy thresholding MET has been widely applied. The experimental results manifest that the proposed MEHBMOT algorithm can search for multiple thresholds which are very close to the optimal ones examined by the exhaustive search method.
In comparison with the other three thresholding methods, the segmentation results using the MEHBMOT algorithm is the best and its computation time is relatively low. Among them, the minimum cross entropy thresholding MCET has been widely applied. Three different methods included the exhaustive search, the particle swarm optimization PSO and the quantum particle swarm optimization QPSO methods are also implemented for comparison with the results of the proposed method.
The experimental results manifest that the proposed HBMO-based MCET algorithm can efficiently search for multiple thresholds which are very close to the optimal ones examined by the exhaustive search method.
Acharya, G. Kittler, J. Illingworth A computationally efficient solution to the problem of minimum error thresholding is derived under the assumption of object and pixel grey level values being normally distributed.
The method is applicable in multithreshold selection. This paper describes a novel approach to binarization techniques.
It presents a way of obtaining a threshold that depends both on the image and the final application using a semantic description of the histogram and a neural network. The intended applications of this technique are high precision OCR algorithms over a limited number of document types. The input image histogram is smoothed and its derivative is found.
Using a polygonal version of the derivative and the smoothed histogram, a new description of the histogram is calculated. Using this description and a training set, a general neural network is capable of obtaining an optimum threshold for our application. Liou, R. Horng, et al.
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