|
UMI3D Unity SDK
2.5.b.221125
A UMI3D sdk implementation using Unity
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File parameter that could be uploaded to the environment server. More...
Classes | |
| class | ReceiveListener |
| Event class with token, fileName, file More... | |
| class | SaveFileListener |
| class | UploadListener |
Public Member Functions | |||||
| override void | OnUserInteraction (UMI3DUser user, InteractionRequestDto interactionRequest) | ||||
Called by a user on interaction.
| |||||
| override void | OnUserInteraction (UMI3DUser user, ulong operationId, ulong toolId, ulong interactionId, ulong hoverredId, uint boneType, ByteContainer container) | ||||
| virtual void | OnFileReceive (string token, string fileName, byte[] bytes) | ||||
| Called when a file is received. More... | |||||
| Public Member Functions inherited from umi3d.edk.interaction.AbstractParameter | |||||
| override Bytable | ToByte (UMI3DUser user) | ||||
Convert interaction to a Bytable container for a given user.
| |||||
| Public Member Functions inherited from umi3d.edk.interaction.AbstractInteraction | |||||
| ulong | Id () | ||||
| The public Getter for interactionId. More... | |||||
| abstract void | OnUserInteraction (UMI3DUser user, InteractionRequestDto request) | ||||
| Called by a user on interaction. More... | |||||
| abstract void | OnUserInteraction (UMI3DUser user, ulong operationId, ulong toolId, ulong interactionId, ulong hoverredId, uint boneType, ByteContainer container) | ||||
| AbstractInteractionDto | ToDto (UMI3DUser user) | ||||
| Convert interaction to Data Transfer Object for a given user. More... | |||||
| virtual Bytable | ToByte (UMI3DUser user) | ||||
| Convert interaction to a Bytable container for a given user. More... | |||||
| bool | LoadOnConnection (UMI3DUser user) | ||||
Condition to be loaded on connection.
| |||||
| bool | AddConnectionFilter (UMI3DUserFilter filter) | ||||
Add a filtering condition from the user filtering.
| |||||
| bool | RemoveConnectionFilter (UMI3DUserFilter filter) | ||||
Remove a filtering condition from the user filtering.
| |||||
| bool | LoadOnConnection (UMI3DUser user) | ||||
| Condition to be loaded on connection. More... | |||||
| bool | AddConnectionFilter (UMI3DUserFilter filter) | ||||
| Add a filtering condition from the user filtering. More... | |||||
| bool | RemoveConnectionFilter (UMI3DUserFilter filter) | ||||
| Remove a filtering condition from the user filtering. More... | |||||
| ulong | Id () | ||||
| UMI3D Id of an entity. More... | |||||
| bool | IsCountable () | ||||
| Could the number of elements be deduced from a size parameter? More... | |||||
| Bytable | ToBytableArray (params object[] parameters) | ||||
| Convert the parameters to an array of Bytable. More... | |||||
Static Public Member Functions | |
| static void | RemoveToken (string token) |
| Remove a token from the list of valide tokens. More... | |
Public Attributes | |
| string | pathToSaveFile = "./TMP/" |
| The path of the folder where the file will be saved More... | |
| string | value |
| Current input value. More... | |
| List< string > | authorizedExtensions = new List<string>() |
| Only these extensions could be upload by the client. Enpty list = allow all, the extensions contain a dot (".obj" for exemple) More... | |
| UploadListener | onChange = new UploadListener() |
| Event raised on value change. string arg is the file name More... | |
| SaveFileListener | onSave = new SaveFileListener() |
| Event raised on value change. string arg is the file path on server More... | |
| ReceiveListener | onReceive = new ReceiveListener() |
| Event raised when file is received. More... | |
| Public Attributes inherited from umi3d.edk.interaction.AbstractParameter | |
| bool | isPrivate = false |
| Should this parameter should be display as a password. More... | |
| Public Attributes inherited from umi3d.edk.interaction.AbstractInteraction | |
| bool | IsSubInteraction = false |
| Indicates if the interaction is part of another. More... | |
| InteractionDisplay | Display |
| Available display information on the interaction More... | |
Protected Member Functions | |||||
| override AbstractInteractionDto | CreateDto () | ||||
| Create an empty Dto. More... | |||||
| override byte | GetInteractionKey () | ||||
Retrieve the key associated to the interaction from UMI3DInteractionKeys.
| |||||
| virtual void | OnChange (ParameterEventContent<(string, string)> responseContainer) | ||||
| Protected Member Functions inherited from umi3d.edk.interaction.AbstractParameter | |||||
| override void | WriteProperties (AbstractInteractionDto dto, UMI3DUser user) | ||||
Write the AbstractInteractionDto properties in an object AbstractInteractionDto is assignable from.
| |||||
| Protected Member Functions inherited from umi3d.edk.interaction.AbstractInteraction | |||||
| virtual void | Register () | ||||
| Register the interaction in the UMI3DEnvironment if necessary. More... | |||||
| virtual void | InitDefinition (ulong id) | ||||
| Initialize interaction's properties. More... | |||||
| virtual void | OnDestroy () | ||||
| Unity MonoBehaviour OnDestroy method. More... | |||||
| abstract AbstractInteractionDto | CreateDto () | ||||
| Create an empty Dto. More... | |||||
| virtual void | WriteProperties (AbstractInteractionDto dto, UMI3DUser user) | ||||
| Write the AbstractInteractionDto properties in an object AbstractInteractionDto is assignable from. More... | |||||
| abstract byte | GetInteractionKey () | ||||
| Retrieve the key associated to the interaction from UMI3DInteractionKeys. More... | |||||
Properties | |
| static Dictionary< string, UploadFileParameter > | uploadTokens = new Dictionary<string, UploadFileParameter>() [get] |
Additional Inherited Members | |
| Protected Attributes inherited from umi3d.edk.interaction.AbstractInteraction | |
| bool | inited = false |
| Indicates if InitDefinition has been called. More... | |
File parameter that could be uploaded to the environment server.
|
protectedvirtual |
|
protectedvirtual |
Retrieve the key associated to the interaction from UMI3DInteractionKeys.
Implements umi3d.edk.interaction.AbstractInteraction.
|
protectedvirtual |
|
virtual |
Called when a file is received.
| token | Token for upload. |
| fileName | File name. |
| bytes | File as a byte array. |
|
virtual |
Called by a user on interaction.
| user | User interacting |
| request | Interaction request |
Implements umi3d.edk.interaction.AbstractInteraction.
|
virtual |
Implements umi3d.edk.interaction.AbstractInteraction.
|
static |
Remove a token from the list of valide tokens.
| token | Token to remove. |
| List<string> umi3d.edk.interaction.UploadFileParameter.authorizedExtensions = new List<string>() |
Only these extensions could be upload by the client. Enpty list = allow all, the extensions contain a dot (".obj" for exemple)
| UploadListener umi3d.edk.interaction.UploadFileParameter.onChange = new UploadListener() |
Event raised on value change. string arg is the file name
| ReceiveListener umi3d.edk.interaction.UploadFileParameter.onReceive = new ReceiveListener() |
Event raised when file is received.
| SaveFileListener umi3d.edk.interaction.UploadFileParameter.onSave = new SaveFileListener() |
Event raised on value change. string arg is the file path on server
| string umi3d.edk.interaction.UploadFileParameter.pathToSaveFile = "./TMP/" |
The path of the folder where the file will be saved
| string umi3d.edk.interaction.UploadFileParameter.value |
Current input value.
|
staticget |


NOTE See JPetstore 6 demo to know about how to use Spring with a full web application server.
You can check out sample code from the MyBatis-Spring repo:
Any of the samples can be run with JUnit 5.
The sample code shows a typical design where a transactional service gets domain objects from a data access layer.
FooService.java acts as the service:
@Transactional public class FooService { private final UserMapper userMapper; public FooService(UserMapper userMapper) { this.userMapper = userMapper; } public User doSomeBusinessStuff(String userId) { return this.userMapper.getUser(userId); } }
It is a transactional bean, so a transaction is started when any of its methods is called and committed when the method ends without throwing an unchecked exception. Notice that transactional behaviour is configured with the @Transactional attribute. This is not required; any other way provided by Spring can be used to demarcate your transactions.
This service calls a data access layer built with MyBatis. This layer consists on a just an interface UserMapper.java that will be used with a dynamic proxy built by MyBatis at runtime and injected into the service by Spring.
public interface UserMapper { User getUser(String userId); }
Note that, for the sake of simplicity we used the interface UserMapper.java for the DAO scenario where a DAO is built with an interface and a implementation though in this case it would have been more adequate to use an interface called UserDao.java instead.
We will see different ways to find the mapper interface, register it to Spring and inject it into the service bean:
| Sample test | Description |
|---|---|
| SampleMapperTest.java | Shows you the base configuration based on a MapperFactoryBean that will dynamically build an implementation for UserMapper |
| SampleScannerTest.java | Shows how to use the MapperScannerConfigurer so all the mappers in a project are autodiscovered. |
| SampleSqlSessionTest.java | Shows how to hand code a DAO using a Spring managed SqlSession and providing your own implementation UserDaoImpl.java. |
| SampleEnableTest | Shows how to use Spring's @Configuration with the @MapperScann annotation so mappers are autodiscovered. |
| SampleNamespaceTest | Shows how to use the custom MyBatis XML namespace. |
| SampleJavaConfigTest.java | Shows how to use Spring's @Configuration to create MyBatis beans manually. |
| SampleJobJavaConfigTest.java | Shows how to use ItemReader and ItemWriter on Spring Batch using Java Configuration. |
| SampleJobXmlConfigTest.java | Shows how to use ItemReader and ItemWriter on Spring Batch using XML Configuration. |
Please take a look at the different applicationContext.xml files to see MyBatis-Spring in action.


How to build a single-stage model for object detection and face detection
In this part, I'm going to present how to build a single-stage object detector like SSD, SFD and so on.
Contents
- The general architecture of a single-stage object detector
- Building SSD7: The simple example of object detector
- Building S3FD: Single scale-invariant face detector
- FaceNet: A single-stage face detector using ResNet backbone
1. The general architecture of a single-stage object detector
The general architecture for a single-state (single-shot or one-stage or one-shot so on) object detector usually consists of:
1.1. The feature extractor
- First, we build a base network as a feature extractor.
- Second, we extract some layers in the feature extractor as the detection layers.
- Detection layer
i
(of size (Mi
xNi
xKi
)) is a set ofKi
feature maps of size (Mi
xNi
).Ki
can be considered as the number of channels of this layer. - The detection layer
i
divides the image intoMi
xNi
spatially equal cell. Each cell may have 1 or more than 1 anchors. For more details about encoding, please visit How to encoding ground truth boxes and labels to anchors.
In the example above, let say, we extract 3 detection layers from layers i
, j
, k
. Later, we
pass these layers to detection blocks to get the detection of total_num_anchors
generated by
our model.
K = num_anchors_per_cells
total_num_anchors = K[i]*(Mi*Ni) + K[j]*(Mj*Nj) + K[k]*(Mk*Nk)
1.2. The detection block
-
The outputs of detection blocks will tell us whether a anchor belongs to a certain object class or not. If yes, then where is the detected bounding box by computing the offsets of coordinates of the detected boxes with this anchor.
-
The detection block can be divided into 2 sub-blocks: classification block, and regression block.
-
The detection block at each layer take the corresponding detection layer as the input and return the set of
loc_dets
andcls_dets
.-
cls_dets
is the set of detection classification scores for each class - the probability that the anchor belongs to the class (outputs of classification block). -
loc_dets
is the set of detection locations of bounding boxes - the offset of coordinates of bounding boxes to their respective anchors (outputs of regression block).
-
Classification block and regression block can consist of 1 direct conv layer or a stack of several conv layers.
SSD7: The simple example of object detector
SSD7 consists of:
* Feature extractor is a stack of 8 conv layers. After each conv layer, the size of output is
reduced by two using MaxPooling2D
.
-
Detection blocks Each detection block for each layer includes two sub-blocks: regression block and classification block. However, each sub-block is just 1 conv layer for simplicity as below:
-
We define the SSD7 including its
self.extractor
,self.detection_blocks
. The below code is simplified to make it succide.
class DetectionBlock(nn.Module):
def __init__(self):
self.reg_conv
self.cls_conv
def forward(self, input):
...
return loc_dets, cls_dets
class SSD7(nn.Module):
def __init__(self):
self.extractor = ... # conv1 -> conv8
self.det_blocks = [DetectionBlock()] * num_detection_layers
def forward(self, input):
# perform feature extraction
detection_layers = self.extractor(input)
# perform detections
final_loc_dets, final_cls_dets = [], []
for i, detection_layer in enumerate(detection_layers):
loc_dets, cls_dets = self.det_blocks[i](detection_layers[i])
final_loc_dets.append(loc_dets)
final_cls_dets.append(cls_dets)
return final_loc_dets, final_cls_dets
The details of implementation can be found at file models/ssd7.py
.
FaceNet: A single-stage face detector using ResNet backbone.
-
Feature extractor
-
ResNet backbone: The last conv layer of
conv2
,conv3
,conv4
,conv5
blocks in ResNet are selected as the detection layers. -
Extra conv blocks Two more
conv6
,conv7
blocks are added to ResNet backbone, each block includes 2 conv3x3. The last conv layers ofconv6
andconv7
are selected as detection layers.
-
-
Detection blocks
- The classification branch consists of 4
conv
layers of3x3
before the classification layer. - The regression branch consists of 4
conv
layers of3x3
before the regression layer.
- The classification branch consists of 4


I have a background in sales having pursued business administration-marketing- in my undergrad studies. I have worked in sales for the past six years. I have now decided to follow an interest I have had for a long time. I joined Moringa School to pursue programming before this lovely girls begin school.
I look forward to building stuff and solving societal problems through technology which is the most dynamic thing that is rapidly changing society and the way we view things. Some of the experimantal projects I have been engaging in in the past three days. They are all work in progress. Don't be too harsh!


Issues
| # | Summary | Product | Status | Kind | When |
|---|---|---|---|---|---|
| 1892 |
Control button appear briefly in menu bar then synergy stops |
Synergy | open | bug | Created , updated |
| 1891 |
Lines starting with / getting concatenated within pre blocks |
wikitext | closed | bug | Created , updated |
| 1890 |
Add more inline admin functionality |
wincent.com | open | feature request | |
| 1889 |
The Cursor color "guifg" is changed after running CommanT command |
Command-T | open | bug | Created , updated |
| 1888 |
Executing Rakefile fails on Windows 7 x64 |
Command-T | closed | bug | Created , updated |
| 1887 |
Assign Apple Keyboard arrow keys to control itunes volume instead of system wide! |
Synergy | closed | support ticket | Created , updated |
| 1886 |
Update to Rails 3.1.1 |
wincent.com | closed | feature request | Created , updated |
| 1885 |
random locks with high cpu usage |
Command-T | closed | bug | Created , updated |
| 1884 |
random locks with high cpu usage |
Command-T | closed | bug | Created , updated |
| 1883 |
Command-T does not find all the files |
Command-T | closed | bug | Created , updated |


Oh snap! You're not supposed to be here!
This is invalid URL. Please do not access this website by yourself. Generate your link in game using one of OpenAudio commands (/audio etc.). If you'll see this error even if you generated the link, contact us on our Discord! You can find link to it at our Spigot page! Thank you! :)


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| .export | rio Extensions |
| .export.default | rio Extensions |
| .import | rio Extensions |
| .import.default | rio Extensions |
| arg_reconcile | Reconcile an argument list to any function signature. |
| characterize | Character conversion of labelled data |
| characterize.data.frame | Character conversion of labelled data |
| characterize.default | Character conversion of labelled data |
| convert | Convert from one file format to another |
| export | Export |
| export_list | Export list of data frames to files |
| extensions | rio Extensions |
| factorize | Character conversion of labelled data |
| factorize.data.frame | Character conversion of labelled data |
| factorize.default | Character conversion of labelled data |
| gather_attrs | Gather attributes from data frame variables |
| get_ext | Get File Type from Extension |
| import | Import |
| import_list | Import list of data frames |
| install_formats | Install rio's 'Suggests' Dependencies |
| is_file_text | Determine whether a file is "plain-text" or some sort of binary format |
| rio | A Swiss-Army Knife for Data I/O |
| spread_attrs | Gather attributes from data frame variables |


Experiments¶
This module orchestrates the process of training the estimators on the datasets. It contains two main loops: over all estimators and over all datasets.
orchestrator¶
-
class
mlaut.experiments.orchestrator.
Orchestrator
(hdf5_input_io, hdf5_output_io, dts_names, original_datasets_group_h5_path, experiments_predictions_group='experiments/predictions', experiments_trained_models_dir='data/trained_models', split_datasets_group='split_dts_idx', train_idx='train_idx', test_idx='test_idx')[source]¶ Bases:
object
Orchestrates the sequencing of running the machine learning experiments.
Parameters: - hdf5_input_io (
FilesIO()
) – instance ofFilesIO()
with reference to the input file. - hdf5_output_io (
FilesIO()
) – instance ofFilesIO()
with reference to the output file. - dts_names (array of strings) – array with the names of the datasets on which experiments will be run.
- original_datasets_group_h5_path (sting) – root path where the raw datasets are stored
- experiments_predictions_group (string) – path in HDF5 database where predictions will be saved.
- experiments_trained_models_dir (string) – folder on disk where trained estimators will be saved.
- split_datasets_group (string) – path in HDF5 database where the splits are saved.
- train_idx (string) – folder in HDF5 database which holds the train index splits.
- test_idx (string) – folder in HDF5 database which holds the test index splits.
-
predict_all
(trained_models_dir, estimators, overwrite=False, verbose=True)[source]¶ Make predictions on test sets. The algorithm opens all saved estimators in the output directory and checks whether their names are specified in the estimators array. If they are it fetches the dataset splits and tries to make the predictions.
Parameters: - trained_models_dir (string) – directory where the trained models are saved.
- estimators (array of mlaut_estimator objects) – The trained models are set as a property to the object.
- overwrite (Boolean) – If True overwrites predictions in HDF5 database.
- verbose (Boolean) – If True prints info and warning messages.
-
run
(modelling_strategies, overwrite_saved_models=False, verbose=True, predict_on_runtime=True, overwrite_predictions=False, overwrite_timestamp=False)[source]¶ Main module for training the estimators. The inputs of the function are:
- The input and output databse files containing the datasets.
- The instantiated estimators.
The method iterates through all datasets in the input database file and trains all modelling strategies on these datasets. At the end of the process we make predictions on the test sets and store them in the output database file.
The class uses helper methods in the experiments class to avoid too many nested loops.
Parameters: - odelling_strategies (array of mlaut_estimator objects) – Array of estimators that will be used for training
- overwrite_saved_models (Boolean) – Flag whether the trained models should be overwritten if they already exist on the disk.
- verbose (Boolean) – If True prints info and warning messages.
- predict_on_runtime (Boolean) – Make predictions immediately after the estimators are trained.
- overwrite_predictions (Boolean) – Overwrite predictions in database if they exist already.
- hdf5_input_io (


Is This Lebese’s Luxurious R734k SUV?
by SL SocialOne of the golden boys in South African football recently revealed what is believed to be his stunning SUV, worth a staggering R743 000. Check it out here.
Lebese, who plied his trade for the likes of Kaizer Chiefs, Mamelodi Sundowns as well as Supersport United, gave fans a glimpse of what is said to be his ride.
Download The Soccer Laduma Social Media App & Earn Airtime for Selfies!
Only, the Range Rover Evoque in question was not revealed in all its splendour, rather it was being hurled onto the back of a tow truck.
Lebese shared images of the ride that is valued at around R734 000. He joins the likes of Mthokozisi Dube and Jacskon Mabokgwane, who also drive the stunning ride.
The 30-year-old is still clubless after leaving Masandawana at the beginning of this season.
Check it out here:
Which local club do you think Lebese should sign for?


Hi,
I have uploaded the following sketch to my Nanode:
https://github.com/openenergymonitor/NanodeRF/tree/master/nanodeRF_ctonly
But DHCP is not working with my Windows 2008 server, it is my DHCP server. When I try it on a simple standalone router then I get an ip.
So I want to have a static IP in the Nanode, how can I do this in this sketch ?
Remco
Re: NanodeRF static IP.
Here is an example: https://github.com/openenergymonitor/sketchbook/tree/master/EtherShield_simpleClient/EtherShield_simpleClient_Emoncms
Re: NanodeRF static IP.
I have been banging my head against the wall almost.. I can't get it to work with a static IP.
Any idea what I am missing ? I must be some simple/stupid thing. But I can't find it.
Here are both PDE links:
http://pastie.org/2728843
http://pastie.org/2728853
Any help is appreciated.
Remco
Re: NanodeRF static IP.
I have been banging my head against the wall almost.. I can't get it to work with a static IP.
Any idea what I am missing ? I must be some simple/stupid thing. But I can't find it.
Here are both PDE links:
http://pastie.org/2728843
http://pastie.org/2728853
Any help is appreciated.
Remco
Re: NanodeRF static IP.
Hi Remco,
You might be having issues since the version of EtherShield_simpleClient you are using contains the DHCP code. This code is used to aquire an IP automatically from a DHCP server. Have you tried the example I posted above? This example does not contain the DHCP code and has been tested to work on a static IP. Make sure you download both files. Here is the example again:
with RFM12 wireless:
https://github.com/openenergymonitor/sketchbook/tree/master/EtherShield_simpleClient_RF12/EtherShield_simpleClient_Emoncms_RF12
Without RFM12 wireless:
https://github.com/openenergymonitor/sketchbook/tree/master/EtherShield_simpleClient/EtherShield_simpleClient_Emoncms
Good luck!
All the best, Glyn.
Re: NanodeRF static IP.
Hi Glyn,
I have tried also the example you provided, but that also is not working, no data is coming. Also on the serial interface just this:
EtherShield_simpleClient_Emoncms_RF12
And the example you provided does not have the battery information, like the latest version's. I have used the example and the comment's in the ethershieldsimpleclient for setting the static IP in my version...
So what can I do to get it working ? Can somebody test my sketches? There must be a simple error in it..
At this moment with DHCP also not working my EmonTX is useless... :(
Or can I ask for help on a different forum ?
And I think there are more people around that want to use a static IP instead of DHCP.
Re: NanodeRF static IP.
Hello, just written and tested a new static ip example, please see if this will work for you:
https://github.com/openenergymonitor/NanodeRF/tree/master/nanodeRF_ctonly_static_ip
Let us know how you get on
Trystan


We use docker containers to bring custom and isolated workspaces to you that support any framework or programming language. Combined with a browser based IDE, you can take your projects and runtimes anywhere.


I'm Venkat and its a pleasure to meet you.
First of all, thank you for giving me an opportunity to introduce myself in front of you.
My name is Venkat from Nellore Andhra Pradesh.
I have completed my slcSLC from Hindu Vidyapeeth Nepal and also graduated my 12 from Classic college international.
I'm 26 years old.
My strength is hard working polite and responsible to work.
I have 2 years work experience as a security guard in a rising security company.
That's all. Thanks.
Education is the process of facilitating learning, or the acquisition of knowledge, skills, values, beliefs, and habits. Educational methods include storytelling, discussion, teaching, training, and directed research. Education frequently takes place under the guidance of educators, but learners may also educate themselves.[1] Education can take place in formal or informal settings and any experience that has a formative effect on the way one thinks, feels, or acts may be considered educational. The methodology of teaching is called pedagogy.
Education is commonly divided formally into such stages as preschool or kindergarten, primary school, secondary school and then college, university, or apprenticeship.
A right to education has been recognized by some governments and the United Nations.[2] In most regions, education is compulsory up to a certain age.
| S.No | College | Year Of Pass | Percentage |
|---|---|---|---|
| 1. | Audisankara Institute of Science and Technology | 2014 | 73.25% |
| 2. | Dr. B.S.R Junior College | 2010 | 89.00% |
| 3. | MEDHA E.M. School | 2008 | 78.89% |
There are many types of hobbies we can develop such as dancing, singing, drawing, playing games, collecting stamps or antiques, photography, writing, eating, reading, sports, gardening, music, watching T.V, cooking, and so on. Our hobbies can help us to earn our live hood and make a successful career. Hobby is something we can enjoy fully in our free time.
My favourite is cooking, listening music and gardening, however, I always prefer gardening it is like meditation to me which improves my work efficiency, interest and ability. It gives me a peace and happiness, makes my day useful. Every day in the morning I enjoy my blooming garden, growing plants slowly on daily basis. I also enjoy sun rise and sun set daily in my garden.
I generally like to do my school homework in my garden. I play games with my father daily in the evening in my garden.  I daily watch plants development and do watering the plant. I also try planting new and decorative plants to my garden in order to enhance its look and beauty.
I love to listen to music and it is my favourite hobby. At the free time and even during work I used to listen to music. As music relax the mind and reduces the stress from the mind. When I am working along with listening music, I finish my work very fast and easily without any disturbance. I like to listen to the soft and romantic music and songs.
Create excitement about upcoming opportunities.


Parking Garage Facade P22a / wulf architekten
- Curated by María Francisca González
- about 11 hours
- version="1.0" encoding="UTF-8"? Architects: wulf architekten
- AreaArea of this architecture projectArea: 4900.0 m2
- version="1.0" encoding="UTF-8"?YearCompletion year of this architecture project Year: 2017
- version="1.0" encoding="UTF-8"?PhotographsPhotographs: Tobias Vollmer
- version="1.0" encoding="UTF-8"?ManufacturersBrands with products used in this architecture project Manufacturers: Sorba GmbH
- Lead Architects Kai Bierich, Manuel Cabezas
- Client Koelnmesse GmbH, Köln
- Architects parking garage schultearchitekten, Köln
More Specs Less Specs
Text description provided by the architects. The objective was to design a facade for the parking garage that not only seems light and transparent, but also surrounds the S-shaped curved structure with a poetic-organic shell that gives it a light plasticity. The uniformly designed facade does not seem ornamental – instead, it is designed like a big organic structure that gives the impression that it breathes.
The P22a parking garage (design: schultearchitekten, Cologne) at the Cologne Trade Fair is located at the Zoobrücke bridge and offers 3,260 parking spaces on 5 levels. Our task, on behalf of the Trade Fair and the city of Cologne, was to design an innovative and emblematic facade for the existing S-shaped curved plan.
To carry out this task, roughly 3,000 laser-cut panels with edge reinforcement were manufactured from perforated metal. The gill-like gaps and the perforations of the panels themselves ensure the natural throughflow of air needed in the parking garage and also provide sufficient natural lighting of its interior. The overlapping metal panels create interesting geometric patterns that evoke a sensuous, emblematic symbolism, especially at night.


Features related to the EAF logger.
More...
Features related to the EAF logger.
◆ levels()
Computes attainment levels of the Empirical Attainment Function.
- Parameters
-
| optim_type | Whether we target a minimization or a maximization problem. |
| logger | the logger holding the data. |
| levels | The desired level indices (empty=all, the default). |
- Returns
- A map associating a level index to the corresponding set of non-dominated quality/time points.
- See also
- Levels for details.
◆ surface()
Computes the "hypervolumes" of the given attainment levelsets.
This computes the surface encompassed by each levelset, up to the extremum point, and returns a map between the level index and of the corresponding surfaces.
- Warning
- The nadir reference point is computed automatically as the extremum of all the levels. Thus, if you call this function several times on different levels, the surfaces will (may) be computed with different nadir points. To indicate your own nadir point, use the stat::Surface class directly.
◆ volume() [1/2]
Computes the absolute "hypervolume" of the whole empirical attainement function.
- Warning
- The nadir reference point is computed automatically as the extremum of all the levels. Thus, if you call this function several times on different levels, the surfaces will (may) be computed with different nadir points. To indicate your own nadir point, use the stat::Volume class directly.
◆ volume() [2/2]
| double ioh::logger::stat::volume |
( |
const EAF & |
logger, |
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|
double |
error_min, |
|
|
double |
error_max, |
|
|
size_t |
evals_min, |
|
|
size_t |
evals_max, |
|
|
size_t |
nb_runs = 0 |
|
) |
| |
|
inline |
Computes the normalized "hypervolume" of the whole empirical attainment function.
If you don't pass the number of runs, it will be guessed by looking at the number of runs in the very first logs.


public class FloatingFragment
extends Fragment
MainActivity methods preceded with a (-) FloatingFragments methods preceded with a (+) FloatingFragments custom lifecycle methods preceded with a (~) - OnCreate() - DeserializeFloatingFragments() + OnCreateView() ~ Unpack() // Will be called if mappedContext passed, as in, if instantiated from the deserializer factory. ~ Setup() + OnDestroy() ~ CleanUp() - OnPause() - SerializeFloatingFragments() ~ Serialize() // Where each FloatingFragment serializes their data.Relatively simplistic flow. Some life cycle methods may be changed or outright removed later (I.E CleanUp) however as of now they remain. It should be noted that I removed the Rx and multithreading from the onTouch events, as while IMO they sounded like a great and cool idea, and they did actually work at first, it was only because of a really big mistake I made by instantiating a new LayoutParam each time I called resize() or snap(), which is surprisingly often (Seems that ACTION_UP gets called more than once a lot of the time). I found this out by checking out Allocation Tracker and seeing that after 5 minutes of use, it had allocated it (which is 64 bytes of memory in size) over a 1,000 times. Even though the VM cleaned it up, it still would have caused the GC to trigger a LOT.
| Modifier and Type | Field and Description |
|---|---|
protected static int |
BOTTOM |
protected int |
ICON_ID |
protected int |
LAYOUT_ID |
protected java.lang.String |
LAYOUT_TAG |
protected static int |
LEFT |
private TouchInterceptorLayout |
mContentView |
private boolean |
mIsDead |
private boolean |
mIsMaximized |
protected <any> |
mMappedContext |
protected int |
mSnapMask |
private ImageButton |
mTaskBarButton |
protected ViewProperties |
mViewProperties |
private int |
prevX |
private int |
prevY |
protected static int |
RIGHT |
private int |
tmpX |
private int |
tmpY |
private int |
touchXOffset |
private int |
touchYOffset |
protected static int |
UPPER |
| Constructor and Description |
|---|
FloatingFragment() |
| Modifier and Type | Method and Description |
|---|---|
private void |
boundsCheck()
Used to check the bounds of the view.
|
protected void |
cleanUp()
For any subclasses that need to clean up extra resources, they may do so here.
|
protected View |
getContentView()
A way for the subclasses to retrieve the Content View.
|
boolean |
isDead()
Whether or not this FloatingFragment is dead.
|
private void |
maximize()
Maximizes the view.
|
private void |
minimize()
Used to minimize the view.
|
boolean |
move(MotionEvent event)
Handles the MotionEvent for moving the view.
|
View |
onCreateView(LayoutInflater inflater,
ViewGroup container,
Bundle savedInstanceState) |
void |
onDestroy()
Kind of redundant to have CleanUp() here, but I'll refactor it out later.
|
boolean |
resize(MotionEvent event)
Handles resizing of the view.
|
private void |
restoreOriginal()
Used to restore the original view's size and coordinates.
|
<any> |
serialize()
Handles serialization of the current state of the content view, so it can be restored later.
|
protected void |
setup()
For subclasses to override to setup their own additional needed information.
|
private void |
setupListeners()
Where we initialize all of our listeners.
|
private void |
setupTaskItem()
This is where we setup the bottom task bar's button for this FloatingFragment.
|
void |
snap()
Used to snap views to a side of the window if the bitmask is set.
|
protected void |
unpack()
Function called to unpack any serialized data that was originally in JSON format.
|
void |
updateSnapMask(int oldX,
int oldY,
int newX,
int newY)
Updates the bitmask used to maintain the current snap direction of the current view.
|
protected static final int RIGHT
protected static final int LEFT
protected static final int UPPER
protected static final int BOTTOM
protected ViewProperties mViewProperties
protected java.lang.String LAYOUT_TAG
protected int LAYOUT_ID
protected int ICON_ID
protected <any> mMappedContext
protected int mSnapMask
private boolean mIsDead
private boolean mIsMaximized
private TouchInterceptorLayout mContentView
private ImageButton mTaskBarButton
private int touchXOffset
private int touchYOffset
private int prevX
private int prevY
private int tmpX
private int tmpY
public View onCreateView(LayoutInflater inflater, ViewGroup container, Bundle savedInstanceState)
private void setupTaskItem()
private void setupListeners()
public boolean move(MotionEvent event)
event
- MotionEvent.public boolean resize(MotionEvent event)
event
- MotionEventpublic void snap()
public void updateSnapMask(int oldX, int oldY, int newX, int newY)
oldX
- The old x-coordinate. This is used to determine the horizontal direction the user is going.oldY
- The old y-coordinate. This is used to determine the vertical direction the user is going.newX
- The new x-coordinate. By finding the difference between new and old we can determine which horizontal direction the user is going.newY
- The new y-coordinate. By finding the difference between new and old, we can determine which vertical direction the user is going.public <any> serialize()
protected void unpack()
private void boundsCheck()
protected void setup()
protected void cleanUp()
private void maximize()
private void restoreOriginal()
private void minimize()
public void onDestroy()
protected View getContentView()
public boolean isDead()


### Preparation * Output layer exercise as paper * 2 kinds of post its for question and done
### Workshop: Introduction to Deep Learning with TensorFlow 2 _Make sure you are prepared_ 1. Open this slide deck: http://bit.ly/mcubed-tf2 1. Make sure you are ready to work with Colab * open https://colab.research.google.com/notebooks/welcome.ipynb in Chrome (IE will not work) * make it run using the "Run All" command from the "Runtime" menu * you need to allow execution and must either have a Google login or are willing to create one * Go through the notebook and make yourself comfortable with Colab _Talk to your neighbors or ask Olli for help_
Workshop: Introduction to Deep Learning with TensorFlow 2
MCubed, London, October 2019
Oliver Zeigermann
/
@DJCordhose
http://bit.ly/mcubed-tf2
## 4 parts, 60-90 min each 1. Basics 1. Tabular input 1. Image input 1. Sequences and time series
## Questions, comments, critique are welcome at any time
## Post Its
* Stick the red one to your laptop to indicate you need help (please remove after you have been helped) * Do the same with the blue one to indicate you are done with an exercise (please remove at the beginning of each exercise)
## Scatchpad to share links and information On Google Drive, everyone with link can read and edit http://bit.ly/mcubed-nn-scratch
## Introduce yourself to your neighbors, please * What are you working on? * What do you want to achieve with TensorFlow? * What do you already know about ML and TensorFlow? * If necessary please help your neighbors to get to theses slides http://bit.ly/mcubed-tf2 and make the first notebook run (described in first slide)
### What is your background? Technical * Data Science * Programming * Classic Machine Learning * Neural Networks * What else? Tools * Matlab * R * Python * Scikit-learn * TensorFlow * Pytorch * What else?
## Time Table * 9:30 - 11:30 First Block * _11:30 - 11:45 Coffee Break_ * 11:45 - 13:00 Second Block * _13:00 - 14:00 Lunch Break_ * 14:00 - 15:30 Third Block * _15:30 - 15:45 Coffee Break_ * 15:45 - 17:00 Fourth Block
### Morning * Basics using Low-Level TensorFlow * Tabular Data: Dense Neural Networks ### Afternoon: Networks using Keras API * Images: Convolutional Neural Networks * Sequences: Recurrent Neural Networks
## Practical advice from a master of his craft _Challenges of training neural nets_ 1. Neural net training is a leaky abstraction - you need to understand what is going on 1. Neural net training fails silently - the possible error surface is large _The recipe_ 1. Understand your data 1. Make one simple experiment after the other 1. Make your model good / large enough to overfit on a batch 1. Regularize on full data set 1. Tune and scrape the barrel
https://karpathy.github.io/2019/04/25/recipe/
## Interactive, online introduction to Neural Networks with TensorFlow 1. https://colab.research.google.com/github/djcordhose/ml-workshop/blob/master/notebooks/tf2/tf-regression-from-scratch.ipynb 1. https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/tf-keras-classifier.ipynb
## Networks for Tabular and Structured data
Fully Connected Layers
## Networks for Images https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/images-intro.ipynb
## Networks for Sequences, Time Series and Texts
Recurrent Neural Networks: RNNs
# Finally
## Overview over all Notebooks _Basics_ * https://colab.research.google.com/github/djcordhose/ml-workshop/blob/master/notebooks/tf2/tf-regression-from-scratch.ipynb * https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/tf-keras-classifier.ipynb * https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/tf-keras-classifier-metrics.ipynb _Dense_ * https://colab.research.google.com/github/djcordhose/ml-workshop/blob/master/notebooks/tf2/tf-dense-insurance-model.ipynb * https://colab.research.google.com/github/djcordhose/ml-workshop/blob/master/notebooks/tf2/tf-dense-insurance-training.ipynb * https://colab.research.google.com/github/djcordhose/ml-workshop/blob/master/notebooks/tf2/tf-dense-insurance-reg.ipynb * https://colab.research.google.com/github/djcordhose/ml-workshop/blob/master/notebooks/tf2/tf-dense-insurance-final.ipynb * Decision Boundaries: https://colab.research.google.com/github/djcordhose/ml-workshop/blob/master/notebooks/classic/strategies.ipynb _RNN_ * https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/seq-basics.ipynb * https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/seq-advanced.ipynb * https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/time-series-rnn-full-predict.ipynb * https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/time-series-encoder-decoder.ipynb _Convolutional_ * https://colab.research.google.com/github/DJCordhose/ml-workshop/blob/master/notebooks/tf2/images-intro.ipynb
https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464
### Time for some bad news
### The real world looks different _All the shown examples are highly idealised_ * Training behaves much less graceful in the real world * it does not train linearly * sudden jumps in loss can occur any time * can take forever to train * might ruin your night sleep and family live (let me just quickly check on the training progress) * Real world data might not match training data * You might not even know the real training data * Struggle to find/get good quality data in the first place
### Finding data sets to play with * Google released a search engine for datasets * Search: https://toolbox.google.com/datasetsearch * Launch blog post: https://www.blog.google/products/search/making-it-easier-discover-datasets/ * Kaggle Datasets: https://www.kaggle.com/datasets * TensorFlow Datasets: https://medium.com/tensorflow/introducing-tensorflow-datasets-c7f01f7e19f3 * https://www.openml.org/search?type=data


| Opcode/Instruction | Op/En | 64/32-bit Mode | CPUID Feature Flag | Description |
|---|---|---|---|---|
|
66 0F 50 /r MOVMSKPD reg, xmm |
RM | V/V | SSE2 | Extract 2-bit sign mask from xmm and store in reg. The upper bits of r32 or r64 are filled with zeros. |
|
VEX.128.66.0F.WIG 50 /r VMOVMSKPD reg, xmm2 |
RM | V/V | AVX | Extract 2-bit sign mask from xmm2 and store in reg. The upper bits of r32 or r64 are zeroed. |
|
VEX.256.66.0F.WIG 50 /r VMOVMSKPD reg, ymm2 |
RM | V/V | AVX | Extract 4-bit sign mask from ymm2 and store in reg. The upper bits of r32 or r64 are zeroed. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| RM | ModRM:reg (w) | ModRM:r/m (r) | NA | NA |
Extracts the sign bits from the packed double-precision floating-point values in the source operand (second operand), formats them into a 2-bit mask, and stores the mask in the destination operand (first operand). The source operand is an XMM register, and the destination operand is a general-purpose register. The mask is stored in the 2 low-order bits of the destination operand. Zero-extend the upper bits of the destination.
In 64-bit mode, the instruction can access additional registers (XMM8-XMM15, R8-R15) when used with a REX.R prefix. The default operand size is 64-bit in 64-bit mode.
128-bit versions: The source operand is a YMM register. The destination operand is a general purpose register.
VEX.256 encoded version: The source operand is a YMM register. The destination operand is a general purpose register.
Note: In VEX-encoded versions, VEX.vvvv is reserved and must be 1111b, otherwise instructions will #UD.
(V)MOVMSKPD (128-bit versions)
DEST[0] (cid:197) SRC[63] DEST[1] (cid:197) SRC[127] IF DEST = r32 THEN DEST[31:2] (cid:197) 0; ELSE DEST[63:2] (cid:197) 0; FI
VMOVMSKPD (VEX.256 encoded version)
DEST[0] (cid:197) SRC[63] DEST[1] (cid:197) SRC[127] DEST[2] (cid:197) SRC[191] DEST[3] (cid:197) SRC[255] IF DEST = r32 THEN DEST[31:4] (cid:197) 0; ELSE DEST[63:4] (cid:197) 0; FI
MOVMSKPD:
int _mm_movemask_pd ( __m128d a)
VMOVMSKPD:
_mm256_movemask_pd(__m256d a)
None
See Exceptions Type 7; additionally
| #UD | If VEX.vvvv ≠ 1111B. |


Norwegian ship hijacked by pirates and 'nine crew members kidnapped'
Eight crew members and the captain of the vessel were forced off the ship while at anchor off the coast of Benin in west Africa
by Neil MurphyNine crew members of a Norwegian shipping vessel have been kidnapped by pirates off the west coast of Africa.
The vessel - the MV Bonita - was boarded by armed attackers while at anchor off the coast of Benin on Saturday.
Eight men plus the captain were taken to an undisclosed location. It is unclear whether they are being held for ransom.
The remaining crew contacted local authorities and sent emergency alerts to other nearby ships, news website DN reports.
Norwegian shipping firm J.J. Ugland confirmed the ship had been raided after releasing a statement on Sunday.
All of the kidnapped crew are from the Philippines, according to the Norwegian Shipowners' Association.
The remaining crew have docked the vessel at the port city of Cotonou - the country's main economic hub.
"The Ugland Emergency Response Team are handling this situation as per contingency plans, and they are in contact with relevant authorities. ... The families of the crew members have been contacted and will be kept informed by Ugland," the company said in a statement.
"Further updates will be given as and when new confirmed information is available and releasable."
In 2011, another Norwegian tanker was hijacked in Benin but the attack failed.


YouTube Celebrates Afrobeats With Teni, Simi, Reekado Banks And Kizz Daniel
by Violet JohnsonOn Tuesday, November 26, the popular video community Youtube celebrated Afrobeats with the announcement of four selected Nigerian artists to receive support on their individual music journey.
The event themed ‘A celebration of Afrobeats’ which took place at the Lagos Waterways, LASWA yard, Falomo Jetty, Ikoyi, unveiled Kizz Daniel, Reekado Banks, Simi, and Teniola Apata as its selected artists. Although Kizz Daniel couldn’t make it to the event, Teni, Simi and Reekado Banks made the fireside chat with Akah Nnani (the host) worth the evening.
These four artists would be provided the needed support and tools to advance their musical career while also growing their YouTube presence to market them globally.
Speaking with Guardian TV on this, Addy Awofisayo, content and partnership executive at YouTube Nigeria said:
We are going to give them [the artists] training, marketing and promotional support to help them amplify their music and connect their music with fans around the world
This development, according to Youtube, was in fulfillment of its earlier promise to support the country’s Afrobeats talents during the Google for Nigeria event in July, where it declared support for 10 emerging artists through Mr. Eazi’s emPawa program.
Furthermore, it was also a night of revelations as Reekado Banks opened up about working towards releasing an album in 2020, he said:
Expect an album next year… it depends on the ginger, but, expect an EP before the end of the year too.
Overall, it turned out to be an interesting night of networking and music with a lot to eat and drink.
See photos from the event below:


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Some quick example text to build on the card title and make up the bulk of the card's content.
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Created by Tingliang Zhang using reveal.js
38th challenge cup Demo video, using Iframe Backgrounds
38th challenge cup
36th challenge cup
Wish you get Friends, Skills, and Happiness from challenge cup.
You can select from different transitions, like:
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Slide -
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There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form
我是版权信息


Fueled Light Source
Overview
The purpose of the fueled.t extension is to enable the definition of light sources that have a finite life due to a limited fuel supply. Once the fuel supply is exhausted a FueledLightSource goes out and can't be relit (unless it's refueled).
New Classes, Objects and Properties
In addition to a number of properties intended purely for internal use, this extension defines the following new class and properties:
- New Mix-in Class: FueledLightSource
- Properties/Methods: fuelSource, fuelLevel, showWarning(), sayBurnedOut(), burnedOutMsg, plungedIntoDarknessMsg, wontLightMsg, removeFuelSource()
Usage
Include the fueled.t file after the library files but before your game source files. FueledLightSource is a mix-in class, so that it must be included first in the list of classes when you define an object that uses it, such as a flashlight or something that's lit in some other way.
The FueledLight source class gives a light source a finite life. One unit of fuel is consumed every turn the light source is lit. When the fuel is exhausted the light goes out and cannot be re-lit (unless fuel is added again). The properties and methods of FueledLightSource that contril this behaviour are:
- fuelSource: The object providing the fuel. By default this is nil, but for an object that uses an external fuel source, this could be the external fuel source (such as a battery for a flashlight); if so then the external fuel source must supply the fuelLevel property.
- fuelLevel: this is the amount of fuel remaining in the fuel source. One unit of fuel is consumed for every turn that the FueledLightSource is lit. The default starting value for a FueledLightSource is 20, but of course you can override this to any value you like (or define whatever numerical value you like on an external fuel source).
- showWarning(): this method can be optionally overridden to display warning messages when the fuelLevel is getting low. Such a method would typically display a different message depending on the fuelLevel.
- sayBurnedOut(): this is the message that's displayed when the light source runs out of fuel. You can override the message in full, but to make it easier to customize you can override either or both of the following:
- burnedOutMsg: this is the start of the message; it shouldn't be a complete sentence but something of the form, '{The subj obj} {goes} out' or 'The torch dies'; if the mesage parameter substition form is used, {the subj obj} will be replaced with the name of the object that's just gone out.
- plungedIntoDarknessMsg: this should be a fragment of a sentence describing what happens if the player character is left in darkness as a result of the light source going out. It should be of the form ', leaving you in darkness' (i.e. something that can follow on directly from the burnedOutMsg).
- wontLightMsg: the message to display (as a single-quoted string) if the FueledLightSource won't light because it has no fuel.
- removeFuelSource(): a message that can be called from game code when a fuel source is disconnected or removed from a FueledLightSource. It carries out useful housekeeping such as noting that the FueledLightSource no longer has a fuel source, extinguishing the light if it was on, and stopping the daemon that consumes the fuel.
As an example to illustrate all of this, here's how we might implement a flashlight (or torch in British parlance) that requires a battery:
+ torch: FueledLightSource, OpenableContainer, Flashlight 'torch; heavy black; flashlight' "It's a heavy black torch. " fuelSource = battery showWarning() { switch(fuelSource.fuelLevel) { case 2: "The torch is starting to grow dim. "; break; case 1: "The torch is getting very dim. "; break; } } plungedIntoDarknessMsg = ', leaving you in total darkness' notifyRemove(obj) { if(obj == battery) removeFuelSource(); inherited(obj); } notifyInsert(obj) { inherited(obj); /* * If we reinsert a battery when the torch is on, and there's still life in the battery, * we need to relight the torch and restart the fuel-consumption daemon. */ if(obj.ofKind(Battery)) { fuelSource = obj; if(isOn && fuelSource.fuelLevel > 1) { "The torch comes on again. "; /* call makeLit to make sure we also restart the fuel daemon here. */ makeLit(true); } } } ; ++ battery: Battery fuelLevel = 10 ; class Battery: Thing 'battery' fuelLevel = 200 ;
This covers most of what you need to know to use this extension. For additional information see the source code and comments in the fueled.t file.


Royal Navy minesweeper preparing to return to service
HMS Pembroke recently returned to HM Naval Base Clyde
by Max ChannonA Royal Navy ship and her crew are preparing to return to service following an extensive refit at Rosyth Dockyard in Fife.
Minsweeper HMS Pembroke recently returned to HM Naval Base Clyde and re-joined her six sister vessels.
On Monday, November 4, a rededication ceremony was held at the Naval Base to mark the milestone and was attended by the Lady Sponsor, Mrs Stephanie Gretton, who launched the ship in Southampton 22 years ago.
Mrs Gretton, accompanied by her husband retired Vice Admiral Mike Gretton, and other special guests were given a tour of the Sandown-class Mine Counter-Measures Vessel (MCMV), to see for themselves, the hard work that Pembroke and her associated contractors have completed during the maintenance period.
During the ceremony the Ship’s Company paraded on the jetty in their best uniform and were inspected by the Lady Sponsor. Prayers were then led by Reverend Robert Jackson, before playing the National Anthem and the ceremonial raising of the ensign.
Able Seaman 2, (Mine Warfare), Euan Dustan (age 21), a crew member onboard HMS Pembroke said: “With HMS Pembroke being my first ship, I felt a great sense of accomplishment and belonging as I took part in the rededication ceremony alongside my crewmates.”
Also present was Captain Engineering, Captain Camilla Meek who thanked the crew for meeting many demanding deadlines over the previous weeks and months.
Following the ceremony, guests enjoyed a buffet lunch courtesy of HMS Pembroke’s two chefs in the Wardroom. The centre piece of the table was a large cake displaying the ships crest which was cut by the Lady Sponsor and the youngest member of the Ship’s Company, Engineering Technician (Marine Engineer) Darren Hill (age 18).
LATEST ROYAL NAVY AND ROYAL MARINE NEWS HERE
HMS Pembroke and her crew are currently conducting a short period of training at Faslane before resuming operations later this year.


Well, currently am studying Software Development in Moringa School. Prior to joining Moringa School, I was studying some free online classes, just to learn and obtain information about different subjects/areas in life.
Having graduated from high school last year,have not encountered any job experience so far.
Programming is a diverse and interesting field, and since at an early age, i was so fascinted about computers. I was yearning to know how computers work and i wanted to get the in-depth of it.As days go by and i finished high school, I started to discover things to do with Websites, Servers, Graphics and Web Designs.I was so obssesed abut them that I started to follow them slowly and just to get the knowledge of how it works, how its created and designed and how its set to perform a specific function. Its when after discovering the above questions, I decide to enrol at a coding school and i got to know about Moringa School and Its classes on Coding, hoping to get the best of it.
Currently have set all my mind on coding so that i can get to understand and get the best of it.
So my hobbies include;
Wait for more amazing websites, this is just for a start.


Jamaica: Woman says she can see death
by Jamaica Star(JAMAICA STAR) — Call her a seer, ‘warner woman’ or spiritualist, but whenever Eugenia ‘Aunt Lilly’ Edwards gives out a warning of death or destruction, people in and around Dallas Castle in rural St Andrew take notice.
That’s because according to residents, her visions, particularly those foreseeing someone’s death, have been frighteningly accurate.
Edwards, 84, says that her ‘gift’ comes from the Almighty, and that while some of the deaths she foresees cannot be avoided, she often encourages persons to pray to the Almighty and ask him to shift what is set out for them.
“Up to today, I had to leave what I was doing and come deliver the message because there is somebody who is going to ‘travel’ and pass away. There is someone else who is supposed to go to court soon but someone go to an obeah man for him to go to prison,” she said.
Edwards explained that she has ‘seen’ the death of many persons including that of a family member recently.
“I told her before that I got a vision with her in a crowd and persons were telling her that she wasn’t going to make it and that she was going to die suddenly. She died suddenly, she never have nuh known illness. She call her neighbour and tell her say she nuh feel good and dead shortly after,” she said.
Edwards, who has buried three of her six children, said that she also feels a physical pain days before her loved ones pass away.
A PARTICULAR INDIVIDUAL
“Whenever I get a message about a particular individual, mi feel every pain the person feel and mi nuh stop feel pain ’til the person pass away. Before mi last daughter go pass off, mi tell her say she must be careful and no eat from anyone. Days later, someone give her some food and her tummy start hurt her and two days later she pass away,” she said.
Edwards said she got her first vision more than six decades ago.
“While in my bed, I saw a nurse lady come to mi in mi dream and say ‘come out a di mud, God need you’. The nurse told me what Psalm I need to read to do God work. After that I start to mix up with man and the ‘gift’ left mi.  I used to go to church at the time but I wasn’t a true Christian … I was mixed up. I stopped doing what I was doing though and it come back,” she said.
Edwards said that her predictions do not sit well with everyone, and some people even call her the ‘angel of death’. But she is adamant that she has never dipped her hands in iniquity.
“People all tell mi say mi a obeah worker, some say a man mi want and others say mi hungry, but mi nuh pay dem any mind. God give me a special job and is that mi a do. I was not born with a spirit of fear, so I am not afraid of anything or anyone,” Edwards said.
More Jamaica News Stories
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Crocodile bites beachgoers in Jamaica November 19, 2019
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Mother says Jamaican gov’t should help with her triplets November 19, 2019
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Jamaica holds world’s second highest rate of female homicides in 2017 — UN report November 19, 2019
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Jamaica: Gun found in shoe November 19, 2019
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Jamaica: Missing hotel worker found dead November 19, 2019
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Jamaica: Boys help classmate who lost home in fire November 19, 2019
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‘Gunman In She H*le’ poised to take over music scene – Trinidad artiste to capitalise on song’s social-media buzz November 19, 2019
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Jamaica: Marijuana-Laced Cookies The Rave Among St James Students November 19, 2019


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