Recurrent
keras.layers.recurrent.Recurrent(weights=None, return_sequences=False, go_backwards=False, stateful=False, unroll=False, consume_less='cpu', input_dim=None, input_length=None)
Abstract base class for recurrent layers.
Do not use in a model -- it's not a valid layer!
Use its children classes LSTM
, GRU
and SimpleRNN
instead.
All recurrent layers (LSTM
, GRU
, SimpleRNN
) also
follow the specifications of this class and accept
the keyword arguments listed below.
Example
# as the first layer in a Sequential model
model = Sequential()
model.add(LSTM(32, input_shape=(10, 64)))
# now model.output_shape == (None, 32)
# note: `None` is the batch dimension.
# the following is identical:
model = Sequential()
model.add(LSTM(32, input_dim=64, input_length=10))
# for subsequent layers, not need to specify the input size:
model.add(LSTM(16))
Arguments
- weights: list of Numpy arrays to set as initial weights.
The list should have 3 elements, of shapes:
[(input_dim, output_dim), (output_dim, output_dim), (output_dim,)]
. - return_sequences: Boolean. Whether to return the last output in the output sequence, or the full sequence.
- go_backwards: Boolean (default False). If True, process the input sequence backwards.
- stateful: Boolean (default False). If True, the last state for each sample at index i in a batch will be used as initial state for the sample of index i in the following batch.
- unroll: Boolean (default False). If True, the network will be unrolled, else a symbolic loop will be used. When using TensorFlow, the network is always unrolled, so this argument does not do anything. Unrolling can speed-up a RNN, although it tends to be more memory-intensive. Unrolling is only suitable for short sequences.
- consume_less: one of "cpu", "mem", or "gpu" (LSTM/GRU only). If set to "cpu", the RNN will use an implementation that uses fewer, larger matrix products, thus running faster on CPU but consuming more memory. If set to "mem", the RNN will use more matrix products, but smaller ones, thus running slower (may actually be faster on GPU) while consuming less memory. If set to "gpu" (LSTM/GRU only), the RNN will combine the input gate, the forget gate and the output gate into a single matrix, enabling more time-efficient parallelization on the GPU. Note: RNN dropout must be shared for all gates, resulting in a slightly reduced regularization.
- input_dim: dimensionality of the input (integer).
This argument (or alternatively, the keyword argument
input_shape
) is required when using this layer as the first layer in a model. - input_length: Length of input sequences, to be specified
when it is constant.
This argument is required if you are going to connect
Flatten
thenDense
layers upstream (without it, the shape of the dense outputs cannot be computed). Note that if the recurrent layer is not the first layer in your model, you would need to specify the input length at the level of the first layer (e.g. via theinput_shape
argument)
Input shape
3D tensor with shape (nb_samples, timesteps, input_dim)
.
Output shape
- if
return_sequences
: 3D tensor with shape(nb_samples, timesteps, output_dim)
. - else, 2D tensor with shape
(nb_samples, output_dim)
.
Masking
This layer supports masking for input data with a variable number
of timesteps. To introduce masks to your data,
use an Embedding layer with the mask_zero
parameter
set to True
.
Note on performance
You are likely to see better performance with RNNs in Theano compared
to TensorFlow. Additionally, when using TensorFlow, it is often
preferable to set unroll=True
for better performance.
Note on using statefulness in RNNs
You can set RNN layers to be 'stateful', which means that the states computed for the samples in one batch will be reused as initial states for the samples in the next batch. This assumes a one-to-one mapping between samples in different successive batches.
To enable statefulness:
- specify stateful=True
in the layer constructor.
- specify a fixed batch size for your model, by passing
if sequential model:
a batch_input_shape=(...)
to the first layer in your model.
else for functional model with 1 or more Input layers:
a batch_shape=(...)
to all the first layers in your model.
This is the expected shape of your inputs including the batch size.
It should be a tuple of integers, e.g. (32, 10, 100)
.
To reset the states of your model, call .reset_states()
on either
a specific layer, or on your entire model.
SimpleRNN
keras.layers.recurrent.SimpleRNN(output_dim, init='glorot_uniform', inner_init='orthogonal', activation='tanh', W_regularizer=None, U_regularizer=None, b_regularizer=None, dropout_W=0.0, dropout_U=0.0)
Fully-connected RNN where the output is to be fed back to input.
Arguments
- output_dim: dimension of the internal projections and the final output.
- init: weight initialization function. Can be the name of an existing function (str), or a Theano function (see: initializations).
- inner_init: initialization function of the inner cells.
- activation: activation function. Can be the name of an existing function (str), or a Theano function (see: activations).
- W_regularizer: instance of WeightRegularizer (eg. L1 or L2 regularization), applied to the input weights matrices.
- U_regularizer: instance of WeightRegularizer (eg. L1 or L2 regularization), applied to the recurrent weights matrices.
- b_regularizer: instance of WeightRegularizer, applied to the bias.
- dropout_W: float between 0 and 1. Fraction of the input units to drop for input gates.
- dropout_U: float between 0 and 1. Fraction of the input units to drop for recurrent connections.
References
GRU
keras.layers.recurrent.GRU(output_dim, init='glorot_uniform', inner_init='orthogonal', activation='tanh', inner_activation='hard_sigmoid', W_regularizer=None, U_regularizer=None, b_regularizer=None, dropout_W=0.0, dropout_U=0.0)
Gated Recurrent Unit - Cho et al. 2014.
Arguments
- output_dim: dimension of the internal projections and the final output.
- init: weight initialization function. Can be the name of an existing function (str), or a Theano function (see: initializations).
- inner_init: initialization function of the inner cells.
- activation: activation function. Can be the name of an existing function (str), or a Theano function (see: activations).
- inner_activation: activation function for the inner cells.
- W_regularizer: instance of WeightRegularizer (eg. L1 or L2 regularization), applied to the input weights matrices.
- U_regularizer: instance of WeightRegularizer (eg. L1 or L2 regularization), applied to the recurrent weights matrices.
- b_regularizer: instance of WeightRegularizer, applied to the bias.
- dropout_W: float between 0 and 1. Fraction of the input units to drop for input gates.
- dropout_U: float between 0 and 1. Fraction of the input units to drop for recurrent connections.
References
- On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
- A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
LSTM
keras.layers.recurrent.LSTM(output_dim, init='glorot_uniform', inner_init='orthogonal', forget_bias_init='one', activation='tanh', inner_activation='hard_sigmoid', W_regularizer=None, U_regularizer=None, b_regularizer=None, dropout_W=0.0, dropout_U=0.0)
Long-Short Term Memory unit - Hochreiter 1997.
For a step-by-step description of the algorithm, see this tutorial.
Arguments
- output_dim: dimension of the internal projections and the final output.
- init: weight initialization function. Can be the name of an existing function (str), or a Theano function (see: initializations).
- inner_init: initialization function of the inner cells.
- forget_bias_init: initialization function for the bias of the forget gate. Jozefowicz et al. recommend initializing with ones.
- activation: activation function. Can be the name of an existing function (str), or a Theano function (see: activations).
- inner_activation: activation function for the inner cells.
- W_regularizer: instance of WeightRegularizer (eg. L1 or L2 regularization), applied to the input weights matrices.
- U_regularizer: instance of WeightRegularizer (eg. L1 or L2 regularization), applied to the recurrent weights matrices.
- b_regularizer: instance of WeightRegularizer, applied to the bias.
- dropout_W: float between 0 and 1. Fraction of the input units to drop for input gates.
- dropout_U: float between 0 and 1. Fraction of the input units to drop for recurrent connections.
References


IndexSet¶
Index sets for multivariate polynomials
-
class
effective_quadratures.indexset.
IndexSet
(index_set_type, orders=None, level=None, growth_rule=None, dimension=None, q=None)¶ - This class defines an index set
Parameters: - index_set_type (string) – The type of index set to be used. Options include: Total order, Tensor grid, Sparse grid and Hyperbolic basis.
- of integers orders (ndarray) – The highest polynomial order in each direction
- level (integer) – For sparse grids the level of the sparse grid rule
- growth_rule (string) –
- The type of growth rule associated with the sparse grid. Options include:
- linear and exponential.
Sample declarations
>> IndexSet('Tensor grid', [3,3,3]) >> IndexSet('Sparse grid', level=3, growth_rule=5, dimension=3) >> IndexSet('Total order' [3, 3, 3]) >> IndexSet('Hyperbolic basis', [3,3], q=0.75)


---
layout: default
title: Video Stabilization
---
{{ page.title }}: A Hybrid Approach for Near-Range Video Stabilization
Achievement
We improved traditional 3D motion estimation model by introducing infinite-homography based motion estimation. We demonstrate that this improvement
would not sacrifice too much stabilizing effects, but avoid significant content distortion for near-range videos.
We present a hybrid approach that combines the
benefits of 2D methods with those of improved 3D methods for near-range
video stabilization.


Order Summary
You can now listen to millions of songs, audiobooks, and podcasts on any device anywhere you like!
Annual Plan
$59.99/year
Change
Proceed to Payment
Cancel Order


Components (10): Navbar: Placement/Fixed top
The bar at the top of this page is a live example of nav.navbar.fixed-top . It is always fixed at the top regardless of vertical scrolling.
nav.navbar.fixed-top
(Dummy contents for scrolling below)


select your favourite color:
birthday:
birthday(date and time):
birthday(local date and local time)
E-mail:
Month:
Number:
Range:
Search:
Telephone:
Time:
Url:
Week:


×
Services
Location
Book Online
Specials
About Us
Hair Tips
Gift Cards
☰
OUR CATALOGUE
THE BEST OF AFROS
❮
❯
THE BEST OF BRAIDS
❮
❯
MEN'S CUT
❮
❯


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
base class for 2-D interpolations. More...
#include <ql/math/interpolations/interpolation2d.hpp>
Classes | |
| class | Impl |
| abstract base class for 2-D interpolation implementations More... | |
| class | templateImpl |
| basic template implementation More... | |
Public Member Functions | |
| Interpolation2D ()=default | |
| Real | operator() (Real x, Real y, bool allowExtrapolation=false) const |
| Real | xMin () const |
| Real | xMax () const |
| std::vector< Real > | xValues () const |
| Size | locateX (Real x) const |
| Real | yMin () const |
| Real | yMax () const |
| std::vector< Real > | yValues () const |
| Size | locateY (Real y) const |
| const Matrix & | zData () const |
| bool | isInRange (Real x, Real y) const |
| void | update () |
| Public Member Functions inherited from Extrapolator | |
| Extrapolator ()=default | |
| virtual | ~Extrapolator ()=default |
| void | enableExtrapolation (bool b=true) |
| enable extrapolation in subsequent calls More... | |
| void | disableExtrapolation (bool b=true) |
| disable extrapolation in subsequent calls More... | |
| bool | allowsExtrapolation () const |
| tells whether extrapolation is enabled More... | |
Public Attributes | |
| QL_DEPRECATED typedef Real | first_argument_type |
| QL_DEPRECATED typedef Real | second_argument_type |
| QL_DEPRECATED typedef Real | result_type |
Protected Member Functions | |
| void | checkRange (Real x, Real y, bool extrapolate) const |
Protected Attributes | |
| ext::shared_ptr< Impl > | impl_ |
base class for 2-D interpolations.
Classes derived from this class will provide interpolated values from two sequences of length \( N \) and \( M \), representing the discretized values of the \( x \) and \( y \) variables, and a \( N \times M \) matrix representing the tabulated function values.
Definition at line 47 of file interpolation2d.hpp.
|
default |
| Real xMin | ( | ) | const |
Definition at line 163 of file interpolation2d.hpp.
| Real xMax | ( | ) | const |
Definition at line 166 of file interpolation2d.hpp.
| std::vector< Real > xValues | ( | ) | const |
Definition at line 169 of file interpolation2d.hpp.
| Real yMin | ( | ) | const |
Definition at line 175 of file interpolation2d.hpp.
| Real yMax | ( | ) | const |
Definition at line 178 of file interpolation2d.hpp.
| std::vector< Real > yValues | ( | ) | const |
Definition at line 181 of file interpolation2d.hpp.
| const Matrix & zData | ( | ) | const |
Definition at line 190 of file interpolation2d.hpp.
| void update | ( | ) |
Definition at line 197 of file interpolation2d.hpp.
| QL_DEPRECATED typedef Real first_argument_type |
auto
or decltype
instead. Deprecated in version 1.29. Definition at line 72 of file interpolation2d.hpp.
| QL_DEPRECATED typedef Real second_argument_type |
auto
or decltype
instead. Deprecated in version 1.29. Definition at line 78 of file interpolation2d.hpp.
| QL_DEPRECATED typedef Real result_type |
auto
or decltype
instead. Deprecated in version 1.29. Definition at line 84 of file interpolation2d.hpp.
|
protected |
Definition at line 66 of file interpolation2d.hpp.


This method contains an explicit invocation of the finalize()
method on an object. Because finalizer methods are supposed to be
executed once, and only by the VM, this is a bad idea.
If a connected set of objects beings finalizable, then the VM will invoke the finalize method on all the finalizable object, possibly at the same time in different threads. Thus, it is a particularly bad idea, in the finalize method for a class X, invoke finalize on objects referenced by X, because they may already be getting finalized in a separate thread.
private static class Blah { public void finalize() { System.out.println("finalizing!"); } } private static void f() throws Throwable { MyObject m = new MyObject(){public void finalize() { System.out.println("finalizing MyObject !"); } m.doSomething(); Blah blah = new Blah(); m.finalize(); // Finalizer will be called anyway(Even without this explicit invocation) blah.finalize(); // Finalizer will be called anyway(Even without this explicit invocation) } public static void main(String[] args) throws Throwable { System.out.println("start"); f(); System.gc(); // Finalizer will be called anyway(Even without this explicit invocation) System.out.println("done"); } The output is: start finalizing MyObject ! finalizing! finalizing MyObject ! finalizing! done
private static class Blah { public void finalize() { System.out.println("finalizing!"); } } private static void f() throws Throwable { MyObject m = new MyObject(){public void finalize() { System.out.println("finalizing MyObject !"); } m.doSomething(); Blah blah = new Blah(); } public static void main(String[] args) throws Throwable { System.out.println("start"); f(); System.gc(); // Finalizer will be called anyway(Even without this explicit invocation) System.out.println("done"); }


Using our deep skill in facilitated learning we incorporate appropriate digital concepts to create high-quality blended and online approaches and product. We are not trying to be tech company, we are a proud and experienced group that specialises in workforce skills development through embracing digital offerings.
Through monitoring and analysis of the marketplace and industry we marshal transient advantage to seize and create opportunity and partnership. The Information systems group ensures that the initiatives can be transferred to and realised in other portfolios and that the whole company advances its understanding and application of technology and digital workflow.
Monitoring the market and navigating our space and transient advantage in it
Using current and emerging capability, seize and create opportunities in this space
Prioritise product and projects in Aged Care, Cyber and their activating competencies.
Build product
Create digital artefacts, experiences and interactions.
Forge collaborative and productive external partnerships (let our strengths - complement theirs)
Reducing business and IT barriers and encouraging the harnessing of digital systems for company efficiency and digital literacy maturity.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
Head of Portfolio
ICT Project Manager
Market Research and Modelling Manager
Data & Research Analyst
Business Analyst
Graphic and Digital Resource Designer
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Aut eaque, laboriosam veritatis, quos non quis ad perspiciatis, totam corporis ea, alias ut unde.


I am a Junior at Pacific Lutheran University studying Psychology and Computer Science
I have been a problem solver ever since I can remember and combining that with helping others is the perfect solution to any problem
I plan to use my knowledge and opportunities to inspire myself and others to reach for their dreams!
THIS IS A PLACEHOLDER FOR MORE TEXT


I am an enthusiastic engineer studying Electrical Engineering and Computer Science (EECS) at the University of California, Berkeley. A copy of my resume along with my projects can be found in my Google Drive folder and my projects can also be found in my Github. Please feel free to contact me at<EMAIL_ADDRESS>GPA: 3.618
GPA: 4.0 (Valedictorian)
Teach database topics in discussion sections held every week. Responsible for maintaining and updating the project codebase and head of all software related tasks. Also hold office hours, answer questions on Piazza, and create exam questions.
Wireless Technologies and Ecosystems organization. Created backend frameworks and implemented APIs for external and internal servers using Java. Wrote SQL queries for PostgreSQL databases and made an iOS application in Swift used by the team for valuable data collection
Assisted students in robotic car-building lab exercises by debugging circuits and C code and review and teach core electrical engineering concepts
Mentored 100 high school students in multiple programming classes. Taught artificial intelligence and machine learning using Tensorflow, Gym, and Python
An iOS app built with Swift in xCode that connects to Google's Firebase authentication and database system to keep track of a user's points (Like reward system such as Five Stars). User is able to make an account and login! All data is stored in Firebase.
Worked with two other people on an application that maximizes the efficiency of scheduling meetings using multiple data structures (TreeMaps, Lists, LinkedLists, PriorityQueues) and algorithms. Users would enter their "busy" and/or "free" schedules for a certain time frame (designated by the event organizer) and the program would output the best time to hold a meeting/event where the most people can attend. For more information, visit my github and/or my Google Drive Folder.
Google Maps, but restricted to only the city of Berkeley. Built using Java and relies on A* algorithm to find the search routes. User is able to drag around the map, zoom in/out, search for locations, and get directions to locations anywhere on the map.
Built a tile/turn based RPG game where the player can move around using WASD keys. The goal is to avoid enemy characters and capture the enemy king. Coded in Java and included a simple GUI. Able to save/load the game and uses pseudorandomness to build maps based off different "seeds."
A robot car that drives based on voice commands. Can go straight, straight for a long distance, turn left, and turn right. Uses K-Clustering, PCA, SVD.
In EE16A lab, my lab partner and I built simple resistive and capacitive touch screens to apply what we have learned. When a touch has been detected, a sound would be played through an amplifier.
- Peter Pan by J.M. Barrie
Being a student and keeping up with my studies takes up the majority of my time. However, when I do find free time, I enjoy playing videogames with my friends, playing the viola (I played for 13 years!), and finding new places to eat.
I also actively try to learn new skills not related to programming, and am currently learning how to use Photoshop. Making and editing films is a big hobby of mine which I picked up during high school.


[§461J-8] License without necessity of examination or meeting the education requirement. All persons holding licenses as physical therapists from the department of health and in practice on the day prior to January 1, 1986, shall be licensed under this chapter on January 1, 1986, without necessity of examination or meeting the education requirement. [L 1985, c 276, pt of §1]
Revision Note
"January 1, 1986," substituted for "the effective date of this Act".


Tuesday, April 2, 2018
If you don't see the correct date above, REFRESH your browser.
The puzzle is updated daily at 12:00 am PST.
SET Puzzle rules
SETs
Found:
SET Puzzle rules
Yesterday's Solution


Search¶
Functions¶
search.py
This file contains the following functions:
find_add_erows - Finds pairs of repeated structures, represented as
diagonals of a certain length, k, that end at the same time step as previously found pairs of repeated structures of the same length.
find_add_mrows - Finds pairs of repeated structures, represented as
diagonals of a certain length, k, that neither start nor end at the same time steps as previously found pairs of repeated structures of the same length.
find_add_srows - Finds pairs of repeated structures, represented as
diagonals of a certain length, k, that start at the same time step as previously found pairs of repeated structures of the same length.
find_all_repeats - Finds all the diagonals present in thresh_mat. This
function is nearly identical to find_initial_repeats, with two crucial differences. First, we do not remove diagonals after we find them. Second, there is no smallest bandwidth size as we are looking for all diagonals.
find_complete_list_anno_only - Finds annotations for all pairs of
repeats found in find_all_repeats. This list contains all the pairs of repeated structures with their start/end indices and lengths.
find_complete_list - Finds all smaller diagonals (and the associated
pairs of repeats) that are contained pair_list, which is composed of larger diagonals found in find_initial_repeats.
-
search.
find_add_erows
(lst_no_anno, check_inds, k)¶ Finds pairs of repeated structures, representated as diagonals of a certain length, k, that end at the same time step as previously found pairs of repeated structures of the same length.
- Parameters
lst_no_anno (np.array) – list of pairs of repeats
check_inds (np.array) – list of ending indices for repeats of length k that we use to check lst_anno_no for more repeats of length k
k (int) – length of repeats that we are looking for
- Returns
add_rows – list of newly found pairs of repeats of length k that are contained in larger repeats in lst_no_anno
- Return type
np.array
-
search.
find_add_mrows
(lst_no_anno, check_inds, k)¶ Finds pairs of repeated structures, represented as diagonals of a certain length, k, that neither start nor end at the same time steps as previously found pairs of repeated structures of the same length.
- Parameters
lst_no_anno (np.array) – list of pairs of repeats
check_inds (np.array) – list of ending indices for repeats of length k that we use to check lst_no_anno for more repeats of length k
k (number) – length of repeats that we are looking for
- Returns
add_rows – list of newly found pairs of repeats of length K that are contained in larger repeats in LST_NO_ANNO
- Return type
np.array
-
search.
find_add_srows
(lst_no_anno, check_inds, k)¶ Finds pairs of repeated structures, representated as diagonals of a certain length, k, that start at the same time step as previously found pairs of repeated structures of the same length.
- Parameters
lst_no_anno (np.array) – list of pairs of repeats
check_inds (np.array) – list of ending indices for repeats of length k that we use to check lst_no_anno for more repeats of length k
k (int) – length of repeats that we are looking for
- Returns
add_rows – List of newly found pairs of repeats of length K that are contained in larger repeats in lst_no_anno
- Return type
np.array
-
search.
find_all_repeats
(thresh_mat, band_width_vec)¶ - Finds all the diagonals present in thresh_mat. This function is
nearly identical to find_initial_repeats, with two crucial differences. First, we do not remove diagonals after we find them. Second, there is no smallest bandwidth size as we are looking for all diagonals.
- Parameters
thresh_mat (np.array) – thresholded matrix that we extract diagonals from
band_width_vec (np.array) – vector of lengths of diagonals to be found
- Returns
all_lst – list of pairs of repeats that correspond to diagonals in thresh_mat
- Return type
np.array
-
search.
find_complete_list
(pair_list, song_length)¶ Finds all smaller diagonals (and the associated pairs of repeats) that are contained pair_list, which is composed of larger diagonals found in find_initial_repeats.
- Parameters
pair_list (np.array) – list of pairs of repeats found in earlier step (bandwidths MUST be in ascending order). If you have run find_initial_repeats before this script, then pair_list will be ordered correctly.
song_length (int) – song length, which is the number of audio shingles.
- Returns
lst_out – list of pairs of repeats with smaller repeats added
- Return type
np.array
-
search.
find_complete_list_anno_only
(pair_list, song_length)¶ Finds annotations for all pairs of repeats found in find_all_repeats. This list contains all the pairs of repeated structures with their start/end indices and lengths.
- Parameters
pair_list – list of pairs of repeats WARNING: bandwidths must be in ascending order
song_length (int) – number of audio shingles in song
- Returns
list of pairs of repeats with smaller repeats added and with annotation markers
- Return type
out_lst


{% extends "base.html" %} {% block announce %} CloudCore is still under development and the documentation is subject to change {% endblock %}


Every month we like to feature a few projects built by the community, this month it’s:
{{{ this.text }}}


We've been accustomed to seeing Al Pacino play loud, unruly lawyers so it is quite refreshing to see Andy Garcia as a smart, tough lawyer in one of his best roles since "Internal Affairs." The movie may not be great but it is a well-crafted, watchable piece of entertainment.
Garcia stars as Sean Casey, a tough New York City lawyer who has been trying minor cases such as freak accidents, drug dealers, petty thieves, etc. He's no ambulance chaser but he's trying to get ahead by playing the rules, and he was a former cop so he "knows the streets." His father, Liam Casey (Ian Holm), is an undercover cop trying to catch a big-time heroin dealer and is subsequently shot while on a stakeout. Sean is upset by this and so is the whole city since two cops were killed by this psycho dealer.  The D.A. makes Sean the leading prosecutor, much to everyone's chagrin, but he's also risking his political future when the defense attorney turns out to be a brilliant shyster, Sam Vigoda (Richard Dreyfuss). It is, theoretically, an easy case and one that could launch Sean's career, but is there police corruption at the core? What do you think? Have you seen movies about corruption before or is this something entirely new to you?
"Night Falls on Manhattan" is not an original film nor should you think that director Sidney Lumet hasn't made similar films before. This time, Lumet has made it fresh by instilling a sense of humanity and making his characters invigorating and real. Garcia's Sean Stone is the moral center of the film - a lawyer who uncovers a hotbed of corruption and lies and people who mask the truth. Could his father, Liam, be concealing evidence? And what about Liam's partner, Joey (James Gandolfini)? And how did all three precincts manage to arrive within seconds after Joey calls for backup during the stakeout? If you haven't heard the disturbing news of New York City cops lately, then you must be residing on a mountain top in Tibet somewhere.
Lumet's problem as a writer is his frequent lack of credibility. For example: why would a psychotic dealer turn himself in to a defense attorney when he could have skipped town? Why would the D.A. assign such a media crazed event over to a small-time lawyer who has no experience trying such cases? Because the lawyer's father is a cop who was badly injured? I don't think such cases occur in New York City but what do I know. This movie was written for the screen by Lumet and based on a pulp novel by Robert Daley. Maybe that explains it.
As usual, Lumet's casting is impeccable. Garcia is strong and believable as Sean, a lawyer who by chance becomes D.A. in a movie full of miraculous chances. Richard Dreyfuss is superbly witty as the Alan Dershowitz-type who is trying to reveal the corruption himself. The great British actor Ian Holm is quietly understated as the wise old cop who may or may not be involved, and adores his bewildered son and his partner. James Gandolfini, who has appeared in a slate of mediocre movies, shines brightly and evocatively as Liam's partner - his scene with Ian Holm and Garcia crackles with energy as he begins to admit his involvement. This is an actor to watch for in the future. Veteran actor Rob Leibman shouts and spews with relish in several great scenes as Morgenstern, the D.A. who is always looking for a fight. The one performance that doesn't ring true is Lena Olin ("Unbearable Lightness of Being") as Peggy, a legal assistant to Sam Vigoda. Her frivolous romance with Sean exudes little charisma or excitement and takes up too much screen time.
"Night Falls on Manhattan" falls short when compared to Lumet's great, intelligent police movies such as "Prince of the City" and "Serpico." Nevertheless, it is a fine film and uniformly well acted but it ends with a silly anticlimax that diminishes the power of the first three-quarters (a similar problem pervaded Lumet's "Family Business"). Still, how can you resist a great cast in a generally vivid, exciting picture when we are mostly bombarded by superfluous hogwash nowadays. Don't resist.
For more reviews, check out JERRY AT THE MOVIES at http://buffs.moviething.com/buffs/faust/
E-mail me with questions, concerns or complaints at<EMAIL_ADDRESS>or at<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


app / com.magnitudestudios.GameFace.repository / SessionRepository / sendOffer
sendOffer
fun sendOffer(session: SessionDescription, toUID: String): Unit
Send offer to specific user to initiate Peer Connection
Parameters
session
- Session Description to send
toUID
- The UID of the target user


Welcome on board! ☠
Show us your best frontend skills! Good luck and we are super excited about the result!


FOUR ROOMS A film review by Ken Cooper Copyright 1996 Ken Cooper
I saw this film on Christmas Day expecting an upbeat comedy. Boy was I in for a Christmas dissapointment! After an hour of the movie, I was ready to change rooms-into another theater! Read on to see what I have to say....
FOUR ROOMS:
Starring:Tim Roth, Jennifer Beals, Antonio Banderas, Quentin Tarantino, Valeria Golino, Madonna, Bruce Willis, Marisa Tomei, Alicia Witt, Lili Taylor, and Ione Skye.
Rating:* (out of **** possible stars)
"Four Rooms" was supposed to be one of the biggest hits of the year. Key word here: "supposed." Four of the biggest directors in Hollywood: Quentin Tarantino, Robert Rodriguez, Alexander Rockwell, and Alison Anders were all directing one big film with a big and popular cast. I guess it was all just too much because this turned out to be the biggest flop of the year and it could of been great. The plot: It's New Years Eve and it's a bellboy's first day on the job. He encounters many mysterious and kinky hotel guests as he tries to handle all his own problems. Tarantino told his directors this plot, and each of them wrote a script. It turned out each of them had written a dark comedy. Anders wrote and directed the tale about a coven of witches (Madonna, Valeria Golino, Alicia Witt, and Ione Skye), which was the worst one out of all of them. The second room (Jennifer Beals) was better, but lacking in plot. This room was about a man who accuses every man of sleeping with his wife. The third room (Antonio Banderas) was the best roomm, about two rambunctous kids that trash a hotel suite. The final one (Tarantino, Willis) was about a movie star wanting the bellboy to chop off someone's finger. The movie was just plain trash. There was nothing here that even makes up a quality film. It was not funny, and I didn't hear one laugh in the theater throughout the whole film. Tim Roth is horrible as the bumbling and mumbling bellboy, and he ruins every joke in the film. The supporting cast loses meaning to the word support and the only mentionable actors/actresses are Antonio Banderas and Jennifer Beals.   As trashy as it was, some people will call it classic.
Look for more of Ken's Kritic Korner Coming Soon! Please check the Newsgroups under the Movie Reviews Section for updated reviews.
P.S. "Four Rooms" made Number 1 on my top ten worst list of 1995.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Stats
46 Participants
Histogram
- Turing 46
- Tomorrow 46
- Week 46
- Days17 46
- Days2048 44
- Sequence 44
- Sequence2 44
- Sequence3 43
- Cezar 43
- Imperatores 42
- Bruteforce 37
- Possibilities 26
- BigPossibilities 24
- BiggerPossibilities 23
- BiggestPossibilities 8
- Final 5
Riddle 1 - Turing
Answer: no
6,7 Sequence - answer
Answers: 527,<PHONE_NUMBER>6063
9 Cezar
Answer: PIECEOFCAKE
10 Imperatores
Answer: BIOSYSTEMATISTS
12,13 Possibilities
Answers: 133320,<PHONE_NUMBER>98400
14 Possibilities
123
132
213
231
312
321
14 Possibilities
Answer: a261d93ffffffff5d9e26c000
15 Possibilities
Answer: 7wmf7oufq8qy3da7zzzzzzzzzzzzzzzzs3dksb5k9r91wmps0000000
7-th Prize
Book: To mock a mockingbird
Sponsor: STX Next
7-th Prize
censored
BiggestPossibilities - 17:03:31
6-th Prize
Book: Algorithmic puzzles
Sponsor: STX Next
6-th Prize
censored
BiggestPossibilities - 16:55:52
5-th Prize
Book: Puzzles for Programmers and Pros
Sponsor: STX Next
5-th Prize
censored
Final - 17:58:33
4-th Prize
Book: Programming challenges
Sponsor: STX Next
4-th Prize
censored
Final - 17:43:40
3-rd Prize
Book: The new Turing omnibus
Sponsor: STX Next
3-rd Prize
censored
Final - 17:30:42
2-nd Prize
Amazon Kindle Paperwhite
Sponsor: STX Next
2-nd Prize
censored
Final - 17:02:05
1-st Prize
Nexus 7 Tablet
Sponsor: getbase.com
1-st Prize
censored
Final - 16:13:13


Lorem Ipsum is simply dummy text of the printing
iOS 7 started with a desire to take an experience people love and make it better. To make it even simpler, more useful, and more enjoyable
Control Center, AirDrop for iOS, and smarter multitasking are just a few of the great new features in iOS 7. And all your favorite apps have been enhanced
iOS 7 started with a desire to take an experience people love and make it better. To make it even simpler, more useful, enjoyable
Control Center, AirDrop for iOS, and smarter multitasking are just a few of the great new features in iOS 7. And all your favorite apps
iOS 7 started with a desire to take an experience people love and make it better. To make it even simpler, more useful, enjoyable
Control Center, AirDrop for iOS, and smarter multitasking are just a few of the great new features in iOS 7. And all your favorite apps
Lorem Ipsum is simply dummy text of the printing
A. started with a desire to take an experience people love and make it better. To make it even simpler, more useful, and more enjoyable
A. It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
A. started with a desire to take an experience people love and make it better. To make it even simpler, more useful, and more enjoyable
A. started with a desire to take an experience people love and make it better. To make it even simpler, more useful, and more enjoyable
A. It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
A. started with a desire to take an experience people love and make it better. To make it even simpler, more useful, and more enjoyable
A. It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
A. started with a desire to take an experience people love and make it better. To make it even simpler, more useful, and more enjoyable
A. started with a desire to take an experience people love and make it better. To make it even simpler, more useful, and more enjoyable
A. It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo.
2345 Setwant natrer, 1234
consectetur adipisicing.
2345 Setwant natrer, 1234
Email<EMAIL_ADDRESS>Phone: 1.306.24565489


This page tracks the new paper links made to my list of NPAR 2007 papers.
Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
November 27 2009
- Added ACM DOI link for each paper
September 3, 2007
August 6, 2007
July 9, 2007
June 8, 2007
June 6, 2007
June 4, 2007
May 28, 2007
May 26, 2007
May 23, 2007
May 22, 2007
May 21, 2007
May 18, 2007
- 3D Collage: Expressive Non-Realistic Modeling (Project)
May 17, 2007
kesen.huang@gmail.com


Each year, Worcester Polytechnic Institute sends teams of students to Wall Street and London to complete the Major Project (a university degree requirement) with some of the largest financial firms in the world.
Past project sponsors include Bank of America, Barclays, BNP Paribas, Deutsche Bank, J.P. Morgan, Morgan Stanley, and Royal Bank of Scotland.
Massachusetts Institute of Technology (MIT), Ph.D.
Thesis: Interaction Study in Parallel R&D Projects
Field: Management
Massachusetts Institute of Technology (MIT), M.S.
Field: Management
Rensselaer Polytechnic Institute (RPI), B.M.E.
Field: Industrial Engineering
1. Africa in the Next Decade, (with Raphael Njoroge), New Canaan, Conn. Business Books International, 2005.
2. International Business and Education: A Focus on Africa and United States (with Raphael J. Njoroge), Worcester/London: Transglobal Literacy, 2004.
3. U.S. Manufacturing Facing Global Competition, (Ed.) WPI, March 1988.
4. Manufacturing Research Perspectives: USA/Japan, (Ed) Elsevier Publishers, 1987.
5. Manufacturing Research: Organizational and Institutional Issues, (Ed) New York Elsevier, 1986.
6. Science Policy Perspectives: USA/Japan, (Ed) New York, Academic Press, 1982.
7. Technological Innovation: Government/Industry Cooperation, (Ed) New York, John Wiley-Interscience, 1979.
8. Innovation: A Study of Technological Policy, Washington, D.C.: University Press of America, 1977.
9. Effective Management of Research and Development, Massachusetts, Addison-Wesley, 1970 (English and translated to Japanese).
1. A Decision-Analysis Approach for Optimal Airport Security", (with Berger, P.D.), International Journal of Critical Infrastructure Protection, (2011), doi:10.1016/j.ijcip.2011.01.002
2. Applying the Analytic Hierarchy Process to the Offshore Outsourcing Location Decision" (with Liu, L.B., Berger, P.B., and Zeng, A.Z). Supply Chain Management: An International Journal, Vol 13, No. 6, 435-448, 2008.
3. American Competitiveness in Africa and the World: Challenge from China", (with Raphael Njoroge), The International Journal of Business Disciplines, Vol 19, No. 2 Winter 2008.
4. International Business: The Role of Ports in Africa", The International Journal of Business Disciplines, (with Raphael Njoroge) June 2007.
5. Project-based Learning in Developing Countries," Proceedings of the ASEE New England Section 2006 Annual Conference, (with Raphael Njoroge), March, 2006.
6. * "Wind Power: An International Perspective", The International Journal of Business Disciplines, (with Tyler Leeds and Robert Theriaque) Fall 2005.
7. Business of Water in Africa" The International Journal of Business Disciplines, (with Raphael Njoroge) Spring 2005.
8. The Optimal Use of Standby Suppliers: A Decision-Analysis Approach," International Journal of Logistics: Research and Applications," (with P.D. Berger and Amy Z. Zeng), vol. 8, #1, pgs. 67 - 80, March 2005.
9. Managing the Supply-side Risks in Supply Chains: Taxonomies, Processes and Examples of Decision-Making Modeling" Applied Optimization Series, Vol 92 (with Zeng, A.Z. and Berger, P.D.) 2005.
10. * "Planning Rural Telecommunications in Developing Countries" (with Boris Ramos), The International Journal of Business Disciplines, Volume 15, No. 1, Spring 2004.
11. How Many Suppliers are Best? A Decision-Analysis Approach" (with Paul D. Berger and Amy Zeng) Omega Vol. 32, Issue 1, February 2004, Pages 9-15
12. Foundation and Funding Opportunities for Globalization", (with Raphael J. Njoroge) 2004 International Symposium on Technology and Society, Worcester Polytechnic Institute, 2004.
13. African Growth and Opportunity Act (AGOA)", The International Journal of Business Disciplines, (with Raphael J. Njoroge), Fall 2003.
14. Economics of Cage Culture in Puerto Rico," Aquaculture Economics and Management, (with Susan Vernon Gerstenfeld et al), Sept. 2002.
15. Global Business: A Focus on Africa," International Journal of Business Disciplines, (with Raphael J. Njorage), Spring 2002.
16. Using Lean Principles to Streamline the Quoting Process: A Case Study," International Management and Data Systems, (with Conan Buzby, Lindsay Voss, and Amy Zeng), Oct. 2002.
17. Zeltron: Innovation in a Latin American Country," Casenet.Thompson.com, South-Western College Publishing. ISBN 0-324-00971-2, 1998.
18. Workshop on the Engineering/Management Interface," Elsevier Science Inc. 1995.
19. Engineering Management Interface," Technology Management 1995.
20. En Route and Terminal Simulations," ATCA (Air Traffic Control Association) Proceedings 1992.
21. ATC Simulation Strategy Can Benefit from Flight Training Experience," ICAO (International Civil Aeronautics Association) 1992.
22. Simulation Combined with Cooperating Experts Systems," Air Traffic Control Journal 1988.
23. A Simulation Application of Distributed Rule Based Learning," The Society for Computer Simulation International, AI Paper, 1988 (with Kiet Huong).
24. Optimal Configuration of a New Product," Proceedings of the 1985 National American Institute of Decision Science Conference, November 1985 (with Paul D. Berger).
25. What Makes New Products Successful?" Journal of Business Forecasting Vol. 4, No. 3, Fall 1985 (with Paul D. Berger).
26. Microcomputers for Managers and Engineers: Now and the Future," Proceedings of the 1985 National American Institute of Decision Sciences Conference, November 1985 (with Paul D. Berger).
27. Applications of Microcomputers by Engineers and Managers," 1985 ASEE Annual Conference Proceedings, June, 1985 (with Paul D. Berger).
28. Major Issues in Transitioning Research to Applications," Proceedings of the 1984 Northeast American Institute of Decision Sciences Conference, April 1984 (with Paul D. Berger).
29. An Experimental Design for Studying the Effects of Using Online Systems in Information Science," Proceedings of the 1984 National American Institute of Decision Sciences Conference November 1984 (with Paul D. Berger).
30. The Major Factors that Influence the Transfer from Research to Application," Proceedings of the 1984 National American Institute of Decision Sciences Conference, March 1984 (with Paul D. Berger).
31. Joint Research: "A Wave of the Future?" Research Management 1984 (with Paul D. Berger).
32. A Quantitative Analysis of the Transition From Research to Application," Proceedings of the 1983 National American Institute of Decision Science Conference, April 7-8 1983 (with Paul D. Berger).
33. Some Effects of Computerized Literature Search Systems," Omega, The International Journal of Management Science. Vol. 11, No. 4 1983 (with Paul D. Berger).
34. A Systems Approach to Industrial Robots," Proceedings of the 13th International Symposium on Industrial Robots April 1983 (with Paul D. Berger).
35. Industrial Robots: A Model of Social and Economical Appraisal," Proceedings of the 1982 National American Institute of Decision Sciences Conference, November 1982 (with Paul D. Berger).
36. Description of a Study of the Transfer Process from Basic Research to Applications," Proceedings of the 1982 National American Institute of Decision Sciences Conference, November 1982 (with Paul D. Berger).
37. University-Industry Cooperative Projects" Science Policy Perspectives: USA-Japan 1982.
38. A Model for the Economic and Social Evaluation of Industrial Robots," Proceedings of the 12th International Symposium on Industrial Robots, June 1982 (with Paul D. Berger).
39. Innovation Systems: The Present Need," The Business Graduate, spring 1982 (with Helmar Krupp).
40. On The Role of Critical Review on the Progress of Science and Technology," Proceedings of the 1981 Northeast American Institute of Decision Sciences Conference, April 1981 (with Paul D. Berger).
41. Scientific and Technical Information: A Study on Applications," Journal of College and University Libraries (Japanese Journal of Information Sciences), winter 1980 (with Paul D. Berger).
42. The Role of Computerized Literature Search Systems on the Transfer of Scientific and Technical Information," Proceedings of the 1980 National American Institute of Decision Sciences Conference, November 1980 (with Paul D. Berger).
43. An Analysis of Utilization Differences for Scientific and Technical Information," Management Science, Vol. 26 No. 2 February 1980 (with Paul D. Berger).
44. The Management of Innovation in Japan - Seven Forces That Make the Difference," Research Management Vol. XXlll / No 1 January 1980 (with Keiji Sumioshi).
45. An Experimental Design for Improving the Transfer of Information to Scientists and Engineers," Proceedings of the 1978 National American Institute of Decision Sciences Conference, March 1978 (with Paul D. Berger).
46. Innovation and Health Care Management," Hospitals and Health Services Administration Spring 1978.
47. MBO Revisited focus on Health Systems," Health Care Management Review Vol. 2 No. 4, Fall 1977.
48. Technological Forecasting—Rejoinder," The Journal of Business of the University of Chicago, Vol. 50, No. 2, April 1977.
49. Government Regulations Effects on the Directions of Innovations: A focus on Performance Standards," The Institute of Electrical and Electrical Engineers, 1977.
50. Strategies for Innovation in Developing Countries", Sloan Management Review Vol. 19, No. l, Fall 1977 (with Lawrence Wortzel).
51. Temporary Assignments," OMEGA, the International Journal of Management Science, October 1975 (with Paul D. Berger).
52. Cost of Effective Test Sequencing," Proceedings of the NATO Conference: Reliability Testing and Reliability Evaluation September 1972 (with Paul D. Berger).
53. Decision Analysis for Increased Highway Safety," Sloan Management Review, MIT, Spring 1971 (with Paul D. Berger).
54. Technological Forecasting," The Journal of Business of the University of Chicago Vol. XLlV No. 1, January 1971.
55. The Goal Priorities of Medical Technologists," American Journal of Medical Technology, Vo. 36, No. 4 April 1970.
First Place IQP Award, WPI, "Aquaculture for the Developing World," Costa Rica, Summer 2000 (with Prof. Susan Vernon-Gerstenfeld).
Second Place IQP Award, WPI, "GIS: An Aid for Firefighting", Summer 2000 (with Prof. Susan Vernon-Gerstenfeld).
Second Place IQP Award, WPI, "A Study of Marketing Possibilities at Lankester", Summer1999 (with Prof. Susan Vernon-Gerstenfeld).
Major Qualifying Project Award, WPI, "RPS, Inc.-Switcher Simulation", 1997 (with Prof. Sharon Johnson).
Best Paper of the Year Award, Institute of Electrical and Electronic Engineering, 1980.
United States Department of Commerce, Certificate of Appreciation, Advisory Committee on Industrial Innovation, 1979.
1. "Direct Entry Air Traffic Control Systems for Accident Analysis and Training," 1992.
2. "Air Traffic Control System." 1990.
3. "Site-Selectable Air Traffic Control System."1988.
4. "Expert Systems for Air Traffic Control and Controller Training." 1989
1. Wall Street Project Center, Avg. $150,000/year (1998 - Present).
2. Department of Education, Business & International Education Program, "South Africa: The Engine of Growth for Africa," $197,576 (Sept. 2005 - August 2007)
3. Department of Education, Business & International Education Program, "Building a Bridge of Knowledge to Africa", $173,000 (June 2003 - 2005)
4. USAID, "Leadership in Higher Education," $124,957 (May 2003 - Dec. 2004)
5. Department of Education, Business & International Education Program, "Africa: A Focus on the Southern Cone," $170,435 (July 2001 - June 2003).
6. Department of Education, Business & International Education Program, $174,000 (1999 - 2001).
7. Department of Education, Business & International Education Program, $168,806. (1997 - 1999).
8. Coleman Foundation Grant for study on entrepreneurship (co-director with Donald Beth), $25,000 (1995).
9. Interface Disciplines Grant, WPI, Study on entrepreneurship (co-director with Donald Berth), $30,000 (1993).
10. National Science Foundation (NSF) Grant for study on engineering/management interface, $55,000 (1992-1993).
11. National Science Foundation (NSF) Grant Principal Investigator on Project, An Industry/University Center for Research on the Management of Advance Automation Technology (MAAT), $100,000/year (1980 -1988).
12. Founder and co-director of MEAC, WPI (Manufacturing Engineer Application Center, $50,000/year (1980 - 1981).
13. Japan Foundation, Principal Investigator for a study on Innovation Factors in Japan, $60,000 (1980).
Reviewer
U. S. Department of Education, Business and International Education Program
Aquaculture Economics and Management Journal, University of Hawaii
Industry Experience
N.A.S.A. Cape Canaveral (now Cape Kennedy); Manager, Plans and Program Management 1960- 1964.
University Faculty Associates (UFA), founder and President, 1985-1988, while on leave from WPI (designer and manufacturer of air traffic control training systems).
University Service and Committees
My major university service has been as first Management Department Head, 1977 to 1984.
Member Undergraduate Policy and Curriculum Committee (UPCC) multi years
Member Graduate Policy and Curriculum Committee (GPCC) multi years
Founder MBA program
Founder Namibia Project Center
Founder Wall Street Project Center


Modem Call Control
The Modem Call Control (mcc) API functions of this API are provided by the modemService service.
IPC interfaces binding
Here's a code sample binding to modem services:
bindings: { clientExe.clientComponent.le_mcc -> modemService.le_mcc }
Starting a Call
To initiate a call, create a new call object with a destination telephone number calling the le_mcc_Create() function.
le_mcc_Start() must still initiate the call when ready.
The le_mcc_Start() function initiates a call attempt (it's asynchronous because it can take time for a call to connect). If function failed, the le_mcc_GetTerminationReason() API can be used to retrieve the terminal reason.
It's essential to register a handler function to get the call events. Use le_mcc_AddCallEventHandler() API to install that handler function. The handler will be called for all calls' events (incoming and outgoing).
The le_mcc_RemoveCallEventHandler() API uninstalls the handler function.
The following APIs can be used to manage incoming or outgoing calls:
- le_mcc_GetTerminationReason() - termination reason.
- le_mcc_GetPlatformSpecificTerminationCode() - the platform specific termination code (refer to your platform documentation for further details).
- le_mcc_IsConnected() - connection status.
- le_mcc_GetRemoteTel() - displays remote party telephone number associated with the call.
- le_mcc_HangUp() will disconnect this call.
When finished with the call object, call le_mcc_Delete() to free all the allocated resources associated with the object.
Multi-threading/multi-application behaviour: the callRef is linked to a specific client (i.e. connection with the mcc service). Each client will have its own callRef for a same call. That is, if a call event handler is registered by one thread but le_mcc_Create() is called by another thread, they will each get different call references for the same call. So, when multiple threads are being used to work with the same call, a comparison of the call references themselves can't be used to tell whether or not they refer to the same call.
Answering a call
Receiving calls is similar sending calls. Add a handler through le_mcc_AddCallEventHandler() to be notified of incoming calls.
To answer, call le_mcc_Answer(). To reject it, call le_mcc_HangUp().
Ending all calls
A special function can be used to hang-up all the ongoing calls: le_mcc_HangUpAll(). This function can be used to hang-up any calls that have been initiated through another client like AT commands.
Supplementary service.
Calling Line Identification Restriction (CLIR) can be activated or deactivated by le_mcc_SetCallerIdRestrict API. The status is independent for each call object reference. Status can be read with the le_mcc_GetCallerIdRestrict() API. Default value is LE_OFF (Enable presentation of own phone number to remote).
Call waiting and call hold are not yet managed. The event Le_MCC_EVENT_WAITING warns the application for an incoming call, but there's no way to put the current call in hold.
Sample codes
A sample code that implements a dialing call can be found in le_mccTest.c file (please refer to Sample code of Modem Call control page).
Copyright (C) Sierra Wireless Inc. Use of this work is subject to license.


MongoDB Assessment
Q1. Which command adds members to the replica set from MongoDB shell?
- [x] rs.add(“”)
- [ ] replicaSetAdd(“”)
- [ ] rs.insert(“”)
- [ ] replica.add(“”)
Q2. Which MongoDB shell command should you use to back up a database?
- [ ] restore
- [ ] backup
- [ ] mongobackup
- [x] mongodump
Q3. Which shell query displays all citizens with an age greater than or equal to 21?
- [ ] db.citizens.select(‘WHERE age >= 21’)
- [ ] db.citizens.select(‘age >= 21’)
- [ ] db.citizens.select(‘WHERE age >= 21’)
- [x] db.citizens.select({age: {$gte: 21}})
Q4. What does a MongoDB collection consist of?
- [ ] data
- [x] documents
- [ ] fields
- [ ] rows
Q5. Given an ObjectId in _id, how do you get the time it was created?
- [ ] getDateTime(_id)
- [ ] _id.createDate()
- [x] _id.getTimestamp()
- [ ] _id.getDateTime()
Q6. Given a cursor named myCursor, which command returns a boolean value?
- [x] myCursor.hasNext()
- [ ] myCursor.sort()
- [ ] myCursor.next()
- [ ] myCursor.find()
Q7. Which command returns a specific document in the user’s collection?
- [x] db.users.find({_id: 1})
- [ ] db.users.seek({_id: 1})
- [ ] db.users.query({_id: 1})
- [ ] db.query.users({_id: 1})
Q8. To import a JSON array into Mongo, what flags are needed with MongoDBimport?
- [ ]
--type jsonArray
- [ ]
--json
- [ ]
--type json
- [x]
--jsonArray
Q9. Choose the shell command that connects to a MongoDB database.
- [x] mongo
- [ ] mongod
- [ ] mongoconnect
- [ ] dbconnect
Q10. In the MongoDB shell, how can you tell if an index was used with a query?
- [x] db.customers.find({lastName: ‘smith’}).explain()
- [ ] db.customers.find({lastName: ‘smith’}).perf()
- [ ] db.customers.find({lastName: ‘smith’}).plan()
- [ ] db.customers.find({lastName: ‘smith’}).usedIndex()
Q11. Suppose your aggregation pipeline terminated with an exception referring to exceeded memory limit. What is the best way to resolve the issue?
- [ ] Set useMemory to twice amount indicated in exception.
- [ ] Switch a 64 bit instance of MongoDB.
- [ ] Increase the memory of the MongoDB server.
- [x] Set allowDiskUse to true.
Q12. What is the recommended way to delete a user?
- [ ] db.deleteUser(“user”)
- [ ] db.removeUser(“user”) DEPRECATED
- [ ] db.remove(“user”)
- [x] db.dropUser(“user”)
Q13. What the primary database in a replica set fails, when does failover begin?
- [ ] once the primary has been down for 10 minutes
- [ ] once the primary reboots
- [x] immediately
- [ ] after the administrator reboots the primary
Q14. What is the correct option to set up Kerberos when starting MongoDBd?
- [x]
--setParameter authenticationMechanisms=GSSAPI
- [ ]
--setAuthentication=GSSAPI
- [ ]
--setParam auth=K
- [ ]
--setAuth method=Kerberos
Q15. What is the purpose of an arbiter in a replica set?
- [ ] It monitors replica set and sends email in case of failure
- [x] It casts the tie-breaking vote in an election.
- [ ] It holds a backup copy of the database.
- [ ] It reboots the failed server.
Q16. You would like to know how many types of items you have in each category. Which query does this?
- [ ] db.product.group({_id: "$category", count: {$sum:1}})
- [ ] db.product.aggregate($sum: {_id: "$category", count: {$group:1}}})
- [x] db.product.aggregate($group: {_id: "$category", count: {$sum:1}}})
- [ ] db.product.aggregate($count: {_id: "$category", count: {$group:1}}})
Q17. To restrict the number of records coming back from a query, which command should you use?
- [ ] take
- [x] limit
- [ ] max
- [ ] skip
- [x] db.restaurants.CreateIndex({location: “2dsphere”})
- [ ] db.restaurants.geospatial({location: “2dsphere”})
- [ ] db.restaurants.CreateIndex(“2dsphere”:“location”)
- [ ] db.restaurants.CreateIndex({geospatial: “location”})
Q19. How do you find documents with a matching item in an embedded array?
- [ ]
**db.customers.findmatch ({"jobs":"secretary"})**
- [ ]
**db.customers.find ({"jobs:secretary"})**
- [ ]
**db.customers.find ({"jobs":["secretary"]})**
- [x]
**db.customers.find ({"jobs":"secretary"})**
Q20. Which query bypasses the first 5 customers and returns the next 10?
- [ ]
**db.customers.find({}, {skip: 5, limit: 10})**
- [ ]
**db.customers.find({}.page(5).take(10))**
- [ ]
**db.customers.find({}).skip(5).take(10)**
- [x]
**db.customers.find({}).skip(5).limit(10)**
Q21. How do you create a text index?
- [ ] db.customers.createIndex({firstName, lastName})
- [ ] db.customers.createTextIndex({firstName, lastName})
- [x] db.customers.createIndex({firstName: “text”, lastName: “text”})
- [ ] db.customers.createText({firstName: 1, lastName: 1})
Q22. Assuming you have customers collection with a firstName and lastName field, which is the correct MongoDB shell command to create an index on lastName, then firstName both ascending?
- [ ] db.customers.createIndex(“lastName, firstName, ASC”)
- [ ] db.customers.addIndex({lastName:“ASC”, firstName: “ASC”})
- [ ] db.customers.newIndex({lastName:1, firstName:1})
- [x] db.customers.createIndex({lastName:1, firstName: 1})
Q23. One of the documents in your collection has an _ id based upon an older database design and you want to change it. You write an update command to find the document and replace the _ id but the _ id isnt changed. How should you fix the issue?
- [ ] Set the replace option to true.
- [ ] Use the replaceOne() command instead.
- [x] You cant. Once set the _ id field cannot be changed.
- [ ] Use the updateOne() command instead.
Q24. A compound index allows you to ___ ?
- [ ] Calculate interest quickly.
- [ ] Accomplish nothing, since compound indexes arent allowed in Mongo.
- [ ] Use more than one field per index.
- [x] Combine fields in different collations.
Q25. Why are ad-hoc queries useful?
- [ ] They do not have to use the same operators.
- [ ] You do not need to structure the database to support them.
- [ ] They autogenerate reports.
- [x] They run faster than indexed queries.
Q26. How often do the members of a replica set send heartbeats to each other?
- [ ] every 2 minutes
- [ ] every 5 seconds
- [x] every 2 seconds
- [ ] every 10 seconds
Q27. Which command returns all of the documents in the customers collection?
- [ ]
**db.customers.all()**
- [ ]
**db.find().customers();**
- [x]
**db.customers.find();**
- [ ]
**db.customers.show()**
Q28. Given a cursor named myCursor, pointing to the customers collection, how to you get basic info about it?
- [ ] myCursor.stats()
- [ ] myCursor.dump()
- [ ] myCursor.info()
- [x] myCursor.explain()
Q29. What is true about indexes?
- [x] They speed up read access while slowing down writes.
- [ ] They secure the database from intruders.
- [ ] They speed up reads and writes.
- [ ] They speed up write access while slowing down reads.
- [ ] Latitude, longitude
- [ ] XML
- [x] GeoJSON
- [ ] BSON
Q31. Which programming language is used to write MongoDB queries?
- [ ] Python
- [x] JavaScript
- [ ] SQL
- [ ] TypeScript
Q32. You have two text fields in your document and you’d like both to be quickly searchable. What should you do?
- [x] Create a text index on each field.
- [ ] MongoDB is not able to do this.
- [ ] Create a compound text index using both fields.
- [ ] Create a text index on one field and a single field index on the other.
Q33. To import a CSV file into MongoDB, which command should you issue?
- [ ] mongorestore
- [ ] mongoi
- [ ] upload
- [x] mongoimport
Q34. In an MongoDB mapReduce command, the reduce function should ____.
- [ ] access the database
- [ ] be called only when the key has a single value
- [ ] acces the database only to perform read operations
- [x] not access the data
Q35. On a newly created collection, which field will have an index?
- [ ] the name field
- [ ] the Objectid field
- [x] the _id field
- [ ] no field will have an index
Q36. You have a collection of thousands of students. You’d like to return the second set of 20 documents from the sorted collection. What is the proper order in which to apply the operations?
- [ ] limit, skip, sort
- [ ] sort, limit, skip
- [ ] limit, sort, skip
- [x] sort, skip, limit
Q37. You would like the stats() command to return kilobytes instead of bytes. Which command should you run?
- [x]
db.vehicle.stats(1024)
- [ ]
db.vehicle.stats("kilobytes")
- [ ]
db.vehicle.stats(true)
- [ ]
db.vehicle.stats("kb")
Q38. You’d like to modify an existing index. What is the best way to do this?
- [ ] Use the
reIndex()
command to modify the index.
- [x] Delete the original index and create a new index.
- [ ] Call the
createIndex()
command with the update option.
- [ ] Use the
updateIndex()
command.
Q39. You need to delete the index you created on the description field. Which command will accomplish this?
- [x]
db.vehicle.dropIndex("description_text")
- [ ]
db.vehicle.dropIndex({"description":"text"})
- [ ]
db.vehicle.removeIndex({"description":"text"})
- [ ]
db.vehicle.removeIndex("description_text")
Q40. You would like to know how many different categories you have. Which query will best get the job done?
- [ ]
db.vehicle.distinct("category")
- [ ]
db.vehicle.unique("category")
- [x]
db.vehicle.distinct("category").count()
- [ ]
db.vehicle.distinct("category").length
Q41. From the MongoDB shell, how do you create a new document in the customers collection?
- [ ]
**db.customers.add({name: "Bob"})**
- [ ]
**db.customers.save({name: "Bob"})**
- [x]
**db.customers.create({name: "Bob"})**
- [ ]
**db.customers.new({name: "Bob"})**
Q42. Which field is required of all MongoDB documents?
- [x] _id
- [ ] _name
- [ ] objectId
- [ ] mongoDB is schema-less so no field is required
Q43. Which MongoDB shell command should you use to back up a database?
- [ ] backup
- [ ] restore
- [ ] mongobackup
- [x] mongodump
Q44. Which shell query displays all citizens with an age greater than or equal to 21?
- [ ]
**db.citizens.find('WHERE age >= 21')**
- [x]
**db.citizens.find({age: {\$gte: 21}})**
- [ ]
**db.citizens.where('age >= 21')**
- [ ]
**dbcitizens.select('WHERE age >=21')**
Q45. A MongoDB instance has at least what three files?
- [x] data, namespcae, and journal
- [ ] namespace, journal, and log
- [ ] journal, data, and database
- [ ] data, log, and journal
Q46. You’d like a set of documents to be returned in last name, ascending order. Which query will accomplish this?
- [ ]
db.persons.find().sort({lastName: -1}}
- [x]
db.persons.find().sort({lastName: 1}}
- [ ]
db.persons.find().sort({lastName: ascending}}
- [ ]
db.persons.find().sort({lastName: $asc}}


Up and running!
Please wait as we determine which subscriptions are not being used.
You will be recieving a text shortly.
© 2018


--- layout: post title: New Livery date: 2012-05-12 20:35:19.000000000 -05:00 type: post published: true status: publish categories: - RacingGeeks.com Updates tags: [] meta: _edit_last: '2' _thumbnail_id: '333' author: login: fivepointoh email<EMAIL_ADDRESS>display_name: Matt first_name: Matt last_name: Cleaver ---
[caption id="" align="aligncenter" width="496" caption="The new look... eye-catching, eh?"][/caption]
After running the same BMW F1 inspired livery for the past few seasons, we decided it was time for an update. Behold, the new RacingGeeks.com team livery... guaranteed to be seen on the track. It matches the website nicely. Next race, Texas World Speedway this weekend.


{% extends "template.html" %} {% block title %}Home{% endblock %} {% block body %}
Multi Gaze Interactions provides multi user gaze tracking using any common camera in real time. The application includes a pretained model (trained using Columbia Gaze Dataset: http://www.cs.columbia.edu/CAVE/databases/columbia_gaze/) for gaze prediction and Haar cascade filters for face and facial feature detection.


Profiling NodeJs JavaScript
Your last profile run using node
has been stored in this file:
W:\Projects\sites\library.visyond.gov\80\lib\js\markdown-it\CPU.20200627.171808.8788.0.001.cpuprofile
How to view this file in Chrome DevTools
- Open Chrome browser (if you loaded this HTML file via the
make profile2chrome
command, then you already have it open!)
- Hit F12 key to open DevTools
- Make sure the JavaScript Profiling tab is open in DevTools
(use the triple-dot ⋮ dropdown menu to go More Tools ➟ JavaScript Profiler)
- Hit the Load button at the bottom of the panel or Richt-Click in the left side panel to open a file selector box:
point that one to the *.cpuprofile
file you wish to inspect.
(Tip: you can copy-paste the path to the latest *.cpuprofile
from the <pre> block above into the file selector!)
- Profit!


Puppet Class: simianarmy::simianarmy_properties
- Defined in:
- manifests/simianarmy_properties.pp
Summary
Write the `simianarmy.properties` file.Overview
This class writes the simianarmy.properties
file for the
Netflix Chaos Monkey. It is auto-generated and should not be modified by
hand. Documentation for each of the properties can be found in the example
simianarmy.properties
from which it is generated. (see below)
Note: This is an internal class that shouldn't be used
directly. It is included by the simianarmy
class. You can
change values for it's parameters using Hiera.
Copyright © 2017-2019 Shine Solutions Group, unless otherwise noted.
72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 |
# File 'manifests/simianarmy_properties.pp', line 72
class simianarmy::simianarmy_properties (
String $path,
String $owner,
String $group,
String $mode,
Variant[String, Undef] $simianarmy_aws_email_region = undef,
Variant[String, Undef] $simianarmy_calendar_close_hour = undef,
Variant[String, Undef] $simianarmy_calendar_is_monkey_time = undef,
Variant[String, Undef] $simianarmy_calendar_open_hour = undef,
Variant[String, Undef] $simianarmy_calendar_timezone = undef,
Variant[String, Undef] $simianarmy_recorder_localdb_file = undef,
Variant[String, Undef] $simianarmy_recorder_localdb_max_events = undef,
Variant[String, Undef] $simianarmy_recorder_localdb_password = undef,
Variant[String, Undef] $simianarmy_recorder_sdb_domain = undef,
Variant[String, Undef] $simianarmy_scheduler_frequency = undef,
Variant[String, Undef] $simianarmy_scheduler_frequency_unit = undef,
Variant[String, Undef] $simianarmy_scheduler_threads = undef,
Variant[String, Undef] $simianarmy_tags_owner = undef,
) {
file { $path:
ensure => file,
owner => $owner,
group => $group,
mode => $mode,
content => template('simianarmy/simianarmy_properties.erb'),
}
}
|


-
Method Summary
Modifier and TypeMethodDescriptionlong
Copy from a source index to a new index taking only the documents matching the given query.long
Copy the index to a new index.long
Copy entries from an index to a new index but limiting to documents that have been modified since the sinceEpochMillis time.void
createIndex
(String indexName, String alias) Create an index given a mapping file as a resource in the classPath (similar to DDL create table).void
Drop the index from the document store (similar to DDL drop table).<T> T
find
(DocQueryContext<T> request) Return the bean by fetching it's content from the document store.<T> void
findEach
(DocQueryContext<T> query, Consumer<T> consumer) Execute the query against the document store with the expectation of a large set of results that are processed in a scrolling resultSet fashion.void
Find each processing raw documents.<T> void
findEachWhile
(DocQueryContext<T> query, Predicate<T> consumer) Execute the query against the document store with the expectation of a large set of results that are processed in a scrolling resultSet fashion.void
findEachWhile
(String indexNameType, String rawQuery, Predicate<RawDoc> consumer) Find each processing raw documents stopping when the predicate returns false.<T> List<T>
findList
(DocQueryContext<T> request) Execute the find list query.<T> PagedList<T>
findPagedList
(DocQueryContext<T> request) Execute the query against the document store returning the paged list.void
Update the document store for all beans of this type.<T> void
indexByQuery
(Query<T> query) Update the associated document store using the result of the query.<T> void
indexByQuery
(Query<T> query, int bulkBatchSize) Update the associated document store index using the result of the query additionally specifying a bulkBatchSize to use for sending the messages to ElasticSearch.void
indexSettings
(String indexName, Map<String, Object> settings) Modify the settings on an index.long
process
(List<DocStoreQueueEntry> queueEntries) Process the queue entries sending updates to the document store or queuing them for later processing.
-
Method Details
-
indexByQuery
Update the associated document store using the result of the query.This will execute the query against the database creating a document for each bean graph and sending this to the document store.
Note that the select and fetch paths of the query is set for you to match the document structure needed based on
@DocStore
and@DocStoreEmbedded
so what this query requires is the predicates only.This query will be executed using findEach so it is safe to use a query that will fetch a lot of beans. The default bulkBatchSize is used.
- Parameters:
query
- The query that selects object to send to the document store.
-
indexByQuery
Update the associated document store index using the result of the query additionally specifying a bulkBatchSize to use for sending the messages to ElasticSearch.- Parameters:
query
- The query that selects object to send to the document store.bulkBatchSize
- The batch size to use when bulk sending to the document store.
-
indexAll
Update the document store for all beans of this type.This is the same as indexByQuery where the query has no predicates and so fetches all rows.
-
find
Return the bean by fetching it's content from the document store. If the document is not found null is returned.Typically this is called indirectly by findOne() on the query.
Customer customer = database.find(Customer.class) .setUseDocStore(true) .setId(42) .findOne();
-
findList
Execute the find list query. This request is prepared to execute secondary queries.Typically this is called indirectly by findList() on the query that has setUseDocStore(true).
List<Customer> newCustomers = database.find(Customer.class) .setUseDocStore(true) .where().eq("status, Customer.Status.NEW) .findList();
-
findPagedList
Execute the query against the document store returning the paged list.The query should have
firstRow
ormaxRows
set prior to calling this method.Typically this is called indirectly by findPagedList() on the query that has setUseDocStore(true).
PagedList<Customer> newCustomers = database.find(Customer.class) .setUseDocStore(true) .where().eq("status, Customer.Status.NEW) .setMaxRows(50) .findPagedList();
-
findEach
Execute the query against the document store with the expectation of a large set of results that are processed in a scrolling resultSet fashion.For example, with the ElasticSearch doc store this uses SCROLL.
Typically this is called indirectly by findEach() on the query that has setUseDocStore(true).
database.find(Order.class) .setUseDocStore(true) .where()... // perhaps add predicates .findEach((Order order) -> { // process the bean ... });
-
findEachWhile
Execute the query against the document store with the expectation of a large set of results that are processed in a scrolling resultSet fashion.Unlike findEach() this provides the opportunity to stop iterating through the large query.
For example, with the ElasticSearch doc store this uses SCROLL.
Typically this is called indirectly by findEachWhile() on the query that has setUseDocStore(true).
database.find(Order.class) .setUseDocStore(true) .where()... // perhaps add predicates .findEachWhile(new Predicate<Order>() { @Override public void accept(Order bean) { // process the bean // return true to continue, false to stop // boolean shouldContinue = ... return shouldContinue; } });
-
findEach
Find each processing raw documents.- Parameters:
indexNameType
- The full index name and typerawQuery
- The query to executeconsumer
- Consumer to process each document
-
findEachWhile
Find each processing raw documents stopping when the predicate returns false.- Parameters:
indexNameType
- The full index name and typerawQuery
- The query to executeconsumer
- Consumer to process each document until false is returned
-
process
Process the queue entries sending updates to the document store or queuing them for later processing.- Throws:
IOException
-
dropIndex
Drop the index from the document store (similar to DDL drop table).DocumentStore documentStore = database.docStore(); documentStore.dropIndex("product_copy");
-
createIndex
Create an index given a mapping file as a resource in the classPath (similar to DDL create table).DocumentStore documentStore = database.docStore(); // uses product_copy.mapping.json resource // ... to define mappings for the index documentStore.createIndex("product_copy", null);
- Parameters:
indexName
- the name of the new indexalias
- the alias of the index
-
indexSettings
Modify the settings on an index.For example, this can be used be used to set elasticSearch refresh_interval on an index before a bulk update.
// refresh_interval -1 ... disable refresh while bulk loading Map<String,Object> settings = new LinkedHashMap<>(); settings.put("refresh_interval", "-1"); documentStore.indexSettings("product", settings);
// refresh_interval 1s ... restore after bulk loading Map<String,Object> settings = new LinkedHashMap<>(); settings.put("refresh_interval", "1s"); documentStore.indexSettings("product", settings);
- Parameters:
indexName
- the name of the index to update settings onsettings
- the settings to set on the index
-
copyIndex
Copy the index to a new index.This copy process does not use the database but instead will copy from the source index to a destination index.
long copyCount = documentStore.copyIndex(Product.class, "product_copy");
- Parameters:
beanType
- The bean type of the source indexnewIndex
- The name of the index to copy to- Returns:
- the number of documents copied to the new index
-
copyIndex
Copy entries from an index to a new index but limiting to documents that have been modified since the sinceEpochMillis time.To support this the document needs to have a
@WhenModified
property.long copyCount = documentStore.copyIndex(Product.class, "product_copy", sinceMillis);
- Parameters:
beanType
- The bean type of the source indexnewIndex
- The name of the index to copy to- Returns:
- the number of documents copied to the new index
-
copyIndex
Copy from a source index to a new index taking only the documents matching the given query.// predicates to select the source documents to copy Query<Product> query = database.find(Product.class) .where() .ge("whenModified", new Timestamp(since)) .ge("name", "A") .lt("name", "D") .query(); // copy from the source index to "product_copy" index long copyCount = documentStore.copyIndex(query, "product_copy", 1000);
- Parameters:
query
- The query to select the source documents to copynewIndex
- The target index to copy the documents tobulkBatchSize
- The ElasticSearch bulk batch size, if 0 uses the default.- Returns:
- The number of documents copied to the new index.
-


WikiLeaks<EMAIL_ADDRESS>leaked emails, 2009 mail archive
This message is part of a particular mailbox provided at WikiLeaks
and it should be discussed here.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
[no subject]
We in Texas are unhappy with the no response of our church and a/n leaders and at the drop out rate of our leaders going there own way instead of Yahweh's way.So it is that we the Texas branch of the church has taken on the duty of getting out the message of Yahweh's word and to reunite his people.We are now the new headquarters of the church for the nation.I've enclosed 4 attachments and 4 more will follow to complete the whole newsletter that we are sending out to prisoners and non-prisoners through out the nation.
If any have a problem with that then by all means send me back an email or call me at<PHONE_NUMBER> this weekend.Thank You.
Pastor;
Allen F. Truitt
Associate Pastor
Marvin Gates
CJCC
Entry for this page on WikiLeaks |
Discussion page on WikiLeaks |
wikileaks.org
Date Index |
Thread Index |
Author Index


--- layout: page title: "About" description: "Elizaveta Yanovskaya" header-img: "img/about-bg.jpg" ---
COO in CSSSR, anthropology lover, traveler, a bit painter.
I can be reached via email and telegram or you can follow me on twitter and FB.


Save the world. On your terms. Meow.
Choose the amount you want to give each month and stick to it. Change it at any time.
Search through individual organizations or curated collections.
Split your donation amongst the charities you've picked.


Hi,
Now I am desperating.....
I am measuring one S0-Counter from the power supply of a heating-pump and two DHT22-sensors (temp and humidity) with an arduino board. Then sending a "Get http..."-string with these 5 values to emoncms. Sending with a sample rate of 30 sec.
The s0-counter makes 2000 imp/kWh.
My processes for this input are:
- x 0.0005
- Accumulator
- kWh to kWh/d
- kWh to power
But I do not see any values on kWh/d In the feeds there is an inactive
Can I add the 4th process= Is this working?. Because there is an inactive too.
The Wh_accumulator stays inactive too, when i use it.
Actually I do not know how to go on. Every hint would be appreciated.
Re: PLS HELP: Counting S0-pulses and monitoring. --> redis and Windows
What do you have working on that processchain?
I recommend creating a "test" log to feed, move that up the chain to the top, position 1.
Observe "test" and if you are happy with what you see move "test" down to position 2 and so on, checking the output at each stage.
What does this input receive? I assume it's pulses since last update.
You could try accumulating in watts rather than kw's if the change is too small to register
If the accumulator was working I would expect the "kWh to kWh/d" and "kWh to power" to work as expected.
Tell us what values you have and we may be able to spot something
Paul
Re: PLS HELP: Counting S0-pulses and monitoring. --> redis and Windows
Hi Paul,
ok.. here some more infos:
Yes the input is pulse since last input. As i told you, i am reading a single-phase S0-counter with 2000 imp/kWh.
For testing my feeds, i am actually simulating a power consumption of 1200w/h. therefore i let my arduino send a value of 20 every 30sec.
I see the difference to my process list is only that you accumulate W instead of kW.
As expected: x 0.5/accu/x 0.001 is working as expected.
But the feeds after the processes kWh to kWh/d and kWh to power are the same as after the accumulator. And both processes are declared as inactive in the feeds-list. For this step I made two feeds.
I have made some screenshots and put it into a pdf. Hope this is readable for you.
Actually I am working with v8.2.8
Re: PLS HELP: Counting S0-pulses and monitoring. --> redis and Windows
The last 2 graphs show the accumulated total is being passed through the "kWh to kWh/d" and "kWh to power" processes but the the "feeds" screenshot shows those 2 feeds are inactive.
The first line of both the "kWh to kWh/d" process and the "kWh to power" process is basically a bypass if redis is not available, so it looks like that maybe where the issue lies, do you have redis installed? and is the redis setting set to true in the settings file?
Paul
Re: PLS HELP: Counting S0-pulses and monitoring. --> redis and Windows
Hi,
I found what you talking off: -> "process_model.php"
if (!$redis) return $value; // return if redis is not available
But actually I never heard about redis :-(
Can it be, that the doc-file is rather old, and the need of redis was coming up later?
Now i will have a look, how to install under Windows. will reply after then.
Thanx for your quick and good help.
Re: PLS HELP: Counting S0-pulses and monitoring. --> redis and Windows
Oh oh...looks not good
have found this thread: http://openenergymonitor.org/emon/node/3451
Sounds like a knock-out for us windows user. Or take a very early release (<7.0)
Thought it would be a workaround to take the mysql-engine instead of the PHPFIWA. --> inactive
Makes me somehow disappointed. A very good software, spent much time on getting it run, and then such an end :-(
The main question is now for me: Why do functions like "power_to_kWh" run without probs (and without redis) and "kwh_to_kwhd" need redis???
Update:
New hope??
http://openenergymonitor.org/emon/node/3749
In this thread Trystan talks about optional redis. This was in March 2014. Having a release from July, i was in hope that this would be already implemented. Hmmm... Naive as I am, i tried to set the redis_enabled on false in the settings.php. But this was without success..
Re: PLS HELP: Counting S0-pulses and monitoring. --> redis and Windows
I'm afraid I'm getting getting a little out of my depth here, I don't run emoncms on windows, I've no experience of pulse counting and I'm stlll learning about the feed engines myself.
You could take a look at "Wh increments to kWh/d" I think it may help, or if you are updating every 30secs and the pulses since last update are 20, surely 20x0.5=10w per30secs x 120 = 1200w/hr therefore input x 60 (0.5x120)= power so you could use
Paul
Re: PLS HELP: Counting S0-pulses and monitoring. --> redis and Windows
OK,
you even helped me a lot. Thx for this
3 new ways for me:
But parallel i will go on and look for the "optional redis" stuff.
Re: PLS HELP: Counting S0-pulses and monitoring. --> redis and Windows
Made it now in a different way.
I do not count any more the pulses with my arduino. I am measuring the time between two pulses, and calculating the actual power on the arduino. Then sending the power-value to emoncms and
like Paul suggested.
So i have a better resolution. and can make an average-calculation over some values if necessary.


24+ Wr Grace Logo Png PNG. Can't find what you are looking for? The colors may not be altered or substituted in.
Grace ops logo champion hoodie. Zsolezsdc and is about brand, calligraphy, conflagration, danish, graphic design. Madinah regional municipality شعار أمانة منطقة المدينة المنورة png.
All from our global community of graphic designers.
Amazing grace academy logo design. Including transparent png clip art, cartoon, icon, logo, silhouette, watercolors, outlines, etc. Word of grace logos is one of the clipart about legal logos clip art,running logos clip art,hockey logos clip art. To search on pikpng now.


This reference guide documents the SyntheticEvent
wrapper that forms part of React's Event System. See
the Handling Events guide to learn more.
Your event handlers will be passed instances of SyntheticEvent
, a cross-browser wrapper around the
browser's native event. It has the same interface as the browser's native event, including
stopPropagation()
and preventDefault()
, except the events work identically across all
browsers.
If you find that you need the underlying browser event for some reason, simply use the nativeEvent
attribute to get it. The synthetic events are different from, and do not map directly to, the browser's native
events. For example in onMouseLeave
event.nativeEvent
will point to a
mouseout
event. The specific mapping is not part of the public API and may change at any time. Every
SyntheticEvent
object has the following attributes:
boolean bubbles
boolean cancelable
DOMEventTarget currentTarget
boolean defaultPrevented
number eventPhase
boolean isTrusted
DOMEvent nativeEvent
void preventDefault()
boolean isDefaultPrevented()
void stopPropagation()
boolean isPropagationStopped()
void persist()
DOMEventTarget target
number timeStamp
string type
Note:
As of v17,
e.persist()
doesn't do anything because theSyntheticEvent
is no longer pooled.
Note:
As of v0.14, returning
false
from an event handler will no longer stop event propagation. Instead,e.stopPropagation()
ore.preventDefault()
should be triggered manually, as appropriate.
React normalizes events so that they have consistent properties across different browsers.
The event handlers below are triggered by an event in the bubbling phase. To register an event handler for the capture phase, append Capture
to the event name; for example, instead of using onClick
, you would use onClickCapture
to handle the click event in the capture phase.
Event names:
onCopy onCut onPaste
Properties:
Event names:
onCompositionEnd onCompositionStart onCompositionUpdate
Properties:
Event names:
onKeyDown onKeyPress onKeyUp
Properties:
boolean altKey
number charCode
boolean ctrlKey
boolean getModifierState(key)
string key
number keyCode
string locale
number location
boolean metaKey
boolean repeat
boolean shiftKey
number which
The key
property can take any of the values documented in the DOM Level 3 Events spec.
Event names:
onFocus onBlur
These focus events work on all elements in the React DOM, not just form elements.
Properties:
The onFocus
event is called when the element (or some element inside of it) receives focus. For example,
it's called when the user clicks on a text input.
function Example() {
return (
<input
onFocus={(e) => {
console.log('Focused on input');
}}
placeholder="onFocus is triggered when you click this input."
/>
)
}
The onBlur
event handler is called when focus has left the element (or left some element inside of it).
For example, it's called when the user clicks outside of a focused text input.
function Example() {
return (
<input
onBlur={(e) => {
console.log('Triggered because this input lost focus');
}}
placeholder="onBlur is triggered when you click this input and then you click outside of it."
/>
)
}
You can use the currentTarget
and relatedTarget
to differentiate if the focusing or blurring events originated from outside of the parent element. Here is a demo you can copy and paste that shows how to detect focusing a child, focusing the element itself, and focus entering or leaving the whole subtree.
function Example() {
return (
<div
tabIndex={1}
onFocus={(e) => {
if (e.currentTarget === e.target) {
console.log('focused self');
} else {
console.log('focused child', e.target);
}
if (!e.currentTarget.contains(e.relatedTarget)) {
// Not triggered when swapping focus between children
console.log('focus entered self');
}
}}
onBlur={(e) => {
if (e.currentTarget === e.target) {
console.log('unfocused self');
} else {
console.log('unfocused child', e.target);
}
if (!e.currentTarget.contains(e.relatedTarget)) {
// Not triggered when swapping focus between children
console.log('focus left self');
}
}}
>
<input id="1" />
<input id="2" />
</div>
);
}
Event names:
onChange onInput onInvalid onReset onSubmit
For more information about the onChange event, see Forms.
Event names:
onError onLoad
Event names:
onClick onContextMenu onDoubleClick onDrag onDragEnd onDragEnter onDragExit
onDragLeave onDragOver onDragStart onDrop onMouseDown onMouseEnter onMouseLeave
onMouseMove onMouseOut onMouseOver onMouseUp
The onMouseEnter
and onMouseLeave
events propagate from the element being left to the one being entered instead of ordinary bubbling and do not have a capture phase.
Properties:
boolean altKey
number button
number buttons
number clientX
number clientY
boolean ctrlKey
boolean getModifierState(key)
boolean metaKey
number pageX
number pageY
DOMEventTarget relatedTarget
number screenX
number screenY
boolean shiftKey
Event names:
onPointerDown onPointerMove onPointerUp onPointerCancel onGotPointerCapture
onLostPointerCapture onPointerEnter onPointerLeave onPointerOver onPointerOut
The onPointerEnter
and onPointerLeave
events propagate from the element being left to the one being entered instead of ordinary bubbling and do not have a capture phase.
Properties:
As defined in the W3 spec, pointer events extend Mouse Events with the following properties:
number pointerId
number width
number height
number pressure
number tangentialPressure
number tiltX
number tiltY
number twist
string pointerType
boolean isPrimary
A note on cross-browser support:
Pointer events are not yet supported in every browser (at the time of writing this article, supported browsers include: Chrome, Firefox, Edge, and Internet Explorer). React deliberately does not polyfill support for other browsers because a standard-conform polyfill would significantly increase the bundle size of react-dom
.
If your application requires pointer events, we recommend adding a third party pointer event polyfill.
Event names:
onSelect
Event names:
onTouchCancel onTouchEnd onTouchMove onTouchStart
Properties:
boolean altKey
DOMTouchList changedTouches
boolean ctrlKey
boolean getModifierState(key)
boolean metaKey
boolean shiftKey
DOMTouchList targetTouches
DOMTouchList touches
Event names:
onScroll
Note
Starting with React 17, the
onScroll
event does not bubble in React. This matches the browser behavior and prevents the confusion when a nested scrollable element fires events on a distant parent.
Properties:
Event names:
onWheel
Properties:
Event names:
onAbort onCanPlay onCanPlayThrough onDurationChange onEmptied onEncrypted
onEnded onError onLoadedData onLoadedMetadata onLoadStart onPause onPlay
onPlaying onProgress onRateChange onSeeked onSeeking onStalled onSuspend
onTimeUpdate onVolumeChange onWaiting
Event names:
onLoad onError
Event names:
onAnimationStart onAnimationEnd onAnimationIteration
Properties:
Event names:
onTransitionEnd
Properties:
Event names:
onToggle


SSN COLLEGE OF ENGINEERING, KALAVAKKAM–603 110
DEPARTMENT OF INFORMATION TECHNOLOGY
Hack and Tackle 1.0
Health Care
Healthcare in India is at the crossroads with the government rolling out the biggest
publicly funded healthcare plan in the world and clamping down on prices of medical
devices, even as global investments are pouring into tertiary care.
The following are the major problems of health services:
- Neglect of Rural Population
- Emphasis on Culture Method
- Social Inequality
- Shortage of Medical Personnel
- Expensive Health Service
and so on.
Suggest your ideas to overcome these problems.
Problem Statements
- Smart healthcare assistant
- Early detection of acute and chronic diseases
- Health fitness system
- Smart assistance for disabled people such as designing a medical device controller to monitor behaviour and mental health of people
- Decision support system to clinicians that provides treatment plans based on the onset or progress of disease severity levels


Nicole is 19.
She currently resides in Los Angeles where she attends school at Art Center College of Design in Pasadena, CA. She is working towards her BFA in Graphic Design.
Current Music Recs :)


{% extends "base.html" %} {% block content %}
Currently, the API has one endpoint: POST https://yalies.io/api/students
. The endpoint returns a JSON list of students. It accepts a JSON-formatted body containing the properties query
, filters
, and page
(which may all be omitted). query
represents an arbitrary string to search by, which will search across most fields of student data. filters
is a dictionary mapping column names to lists of acceptable values. page
represents the number of the page of students to get, which may allow you to improve request efficiency if you do not need to fetch every student at once. For example:
{ "query": "Joe", "filters": { "college": [ "Grace Hopper", "Davenport" ], "year": [2023, 2024], "floor": [3], "leave": [True] }, "page": 1 }
This payload would fetch the first page of students in Grace Hopper or Davenport college, in the classes of 2023 or 2024, who live on floor 3 of their residential building, are on a leave of absence, and have a name, address, or other property that contains the search term "Joe".
The following filters are supported: college
, year
, major
, building_code
, entryway
, floor
, suite
, room
, state
, and leave
.
You must pass in the header Authorization
, with a value of Bearer _______
(replacing the underscores with the token obtained from the top of this page).