I am having two problems in Bibliography. First, when I cite some working paper, complete information of working paper is not shown and only following information is displayed.
Schwarcz, S. L. (2008). Systemic Risk.
However, the information about publisher, working paper series and url are available in the bib file.
Second, DOI and URL of references are not displayed in the bibliography.
A minimal working example is given below:
\documentclass[12pt,twoside,openany]{book}
\usepackage{authblk}
\usepackage{titlesec}
\usepackage[T1]{fontenc}
\usepackage{times}
\usepackage[latin9]{inputenc}
\usepackage[english]{babel}
\usepackage[round,nonamebreak]{natbib}
\begin{document}
\author{Ahmed Arif}
\title{A Book}
\chapter{Introduction}
This is introduction chapter \citep{Schwarcz2008}. The literature is cited here \citet{Cebenoyan2004}.
\bibliographystyle{apa}
\bibliography{library}
\end{document}
The entries availabe in the bib file are given below. The bib file is obtained from mendley.
#article{Cebenoyan2004,
author = {Cebenoyan, A.Sinan and Strahan, Philip E},
doi = {10.1016/S0378-4266(02)00391-6},
file = {:C$\backslash$:/Users/Ahmed Arif/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Cebenoyan, Strahan - 2004 - Risk management, capital structure and lending at banks.pdf:pdf},
issn = {03784266},
journal = {Journal of Banking {\&} Finance},
keywords = {7 december 2001,at the x international,bank risk management,banking and finance held,in rome on 5,loan sales,this paper was presented,tor vergata conference on},
month = {jan},
number = {1},
pages = {19--43},
title = {{Risk management, capital structure and lending at banks}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S0378426602003916},
volume = {28},
year = {2004}
}
#unpublished{Schwarcz2008,
address = {Durham},
author = {Schwarcz, Steven L.},
file = {:C$\backslash$:/Users/Ahmed Arif/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Schwarcz - 2008 - Systemic Risk.pdf:pdf},
institution = {Duke Law School},
pages = {193--249},
series = {Research Paper Series},
title = {{Systemic Risk}},
url = {http://papers.ssrn.com/sol3/papers.cfm?abstract{\_}id=1008326},
year = {2008}
}
Related
I need to recognize the text in the bottom left corner on Magic the Gathering paper cards (last design). Here an example:
If the text is like this
I want to retrieve the following text:
198/280 U
M20 EN
(I don't need the card author name - Lake Hurwitz in this example)
What OCR library can I use? I've tried with Tesseract without any tuning but the results are not correct. Any advice or link to a project that already does this stuff?
You can make it with tesseract (3.04.01) by sanitizing your image a bit
like in below code
import numpy as np
import cv2
def prepro(zone, prefix):
filename = 'stackmagic.png'
oriimg = cv2.imread(filename)
#keep the interesting part
(a,b,c,d) = zone
text_zone = oriimg[a:b, c:d]
height, width, depth = text_zone.shape
#resize it to be bigger (so less pixelized)
H = 50
imgScale = H/height
newX,newY = text_zone.shape[1]*imgScale, text_zone.shape[0]*imgScale
newimg = cv2.resize(text_zone,(int(newX),int(newY)))
#binarize it
gray = cv2.cvtColor(newimg, cv2.COLOR_BGR2GRAY)
th, img = cv2.threshold(gray, 130, 255, cv2.THRESH_BINARY);
#erode it
kernel = np.ones((1,1),np.uint8)
erosion = cv2.erode(img,kernel,iterations = 1)
cv2.imwrite(prefix+'_ero.png', erosion)
cv2.imshow("Show by CV2",erosion)
cv2.waitKey(0)
prepro((16,27, 6,130), 'upzone')
prepro((27,36, 6,130), 'downzone')
from your cropped image
you get
the upper part:
and the lower part:
and tesseract does seem to be able to extract
xx$ tesseract upzone_ero.png stdout
198/ 280 U
xx$ tesseract downzone_ero.png stdout
M20 ~ EN Duluu Hun-nu
Notice that we fail to extract Luke, but hopefully you were not interested in him/it :)
There are other tools but that'd be advertising stuff and be subjective..
Okay so my assignment is for an engineering project and I have talked to my teacher many times but without much success. the code reads data that comes from a rotary encoder in a text file. The question I have is how do I make two sets of arrays with age and gender and link it to each text file thats read in. For example the first text file comes from a girl that is 10; that spun a crank and output data to a text file. How do i code so that someway i can assign the first text file to an age and gender? Heres my code so far any help is appreciated.
%% ME 208 Project Group 21
clear; close all; clc;
%Constants
dt=.1;
%Translate Data
mass = 10; %values are in units of Kilograms
radius = 1; %values are in units of meters
inertia = mass*radius^(2);
for ii=1:2
%File Name Variable
filename=['sub_' num2str(ii) '.txt'];
%Data is Collected
Data1=dlmread(filename,'\t',0,0);
%Times for data
t1=dt:dt:length(Data1)*dt;
%Vel
[ang_vel1, ang_acc1]=dxdt_d2xdt2(Data1,2,dt);
torq1 = inertia*ang_acc1;
%Calculations of parameters
meanrt1(ii) = rms(torq1);
maxrt1(ii) = max(torq1);
end
%Plot
figure(1);plot(t1,torq1,t2,torq2); grid minor;
I have this table named BondData which contains the following:
Settlement Maturity Price Coupon
8/27/2016 1/12/2017 106.901 9.250
8/27/2019 1/27/2017 104.79 7.000
8/28/2016 3/30/2017 106.144 7.500
8/28/2016 4/27/2017 105.847 7.000
8/29/2016 9/4/2017 110.779 9.125
For each day in this table, I am about to perform a certain task which is to assign several values to a variable and perform necessary computations. The logic is like:
do while Settlement is the same
m_settle=current_row_settlement_value
m_maturity=current_row_maturity_value
and so on...
my_computation_here...
end
It's like I wanted to loop through my settlement dates and perform task for as long as the date is the same.
EDIT: Just to clarify my issue, I am implementing Yield Curve fitting using Nelson-Siegel and Svensson models.Here are my codes so far:
function NS_SV_Models()
load bondsdata
BondData=table(Settlement,Maturity,Price,Coupon);
BondData.Settlement = categorical(BondData.Settlement);
Settlements = categories(BondData.Settlement); % get all unique Settlement
for k = 1:numel(Settlements)
rows = BondData.Settlement==Settlements(k);
Bonds.Settle = Settlements(k); % current_row_settlement_value
Bonds.Maturity = BondData.Maturity(rows); % current_row_maturity_value
Bonds.Prices=BondData.Price(rows);
Bonds.Coupon=BondData.Coupon(rows);
Settle = Bonds.Settle;
Maturity = Bonds.Maturity;
CleanPrice = Bonds.Prices;
CouponRate = Bonds.Coupon;
Instruments = [Settle Maturity CleanPrice CouponRate];
Yield = bndyield(CleanPrice,CouponRate,Settle,Maturity);
NSModel = IRFunctionCurve.fitNelsonSiegel('Zero',Settlements(k),Instruments);
SVModel = IRFunctionCurve.fitSvensson('Zero',Settlements(k),Instruments);
NSModel.Parameters
SVModel.Parameters
end
end
Again, my main objective is to get each model's parameters (beta0, beta1, beta2, etc.) on a per day basis. I am getting an error in Instruments = [Settle Maturity CleanPrice CouponRate]; because Settle contains only one record (8/27/2016), it's suppose to have two since there are two rows for this date. Also, I noticed that Maturity, CleanPrice and CouponRate contains all records. They should only contain respective data for each day.
Hope I made my issue clearer now. By the way, I am using MATLAB R2015a.
Use categorical array. Here is your function (without its' headline, and all rows I can't run are commented):
BondData = table(datetime(Settlement),datetime(Maturity),Price,Coupon,...
'VariableNames',{'Settlement','Maturity','Price','Coupon'});
BondData.Settlement = categorical(BondData.Settlement);
Settlements = categories(BondData.Settlement); % get all unique Settlement
for k = 1:numel(Settlements)
rows = BondData.Settlement==Settlements(k);
Settle = BondData.Settlement(rows); % current_row_settlement_value
Mature = BondData.Maturity(rows); % current_row_maturity_value
CleanPrice = BondData.Price(rows);
CouponRate = BondData.Coupon(rows);
Instruments = [datenum(char(Settle)) datenum(char(Mature))...
CleanPrice CouponRate];
% Yield = bndyield(CleanPrice,CouponRate,Settle,Mature);
%
% NSModel = IRFunctionCurve.fitNelsonSiegel('Zero',Settlements(k),Instruments);
% SVModel = IRFunctionCurve.fitSvensson('Zero',Settlements(k),Instruments);
%
% NSModel.Parameters
% SVModel.Parameters
end
Keep in mind the following:
You cannot concat different types of variables as you try to do in: Instruments = [Settle Maturity CleanPrice CouponRate];
There is no need in the structure Bond, you don't use it (e.g. Settle = Bonds.Settle;).
Use the relevant functions to convert between a datetime object and string or numbers. For instance, in the code above: datenum(char(Settle)). I don't know what kind of input you need to pass to the following functions.
I'm having difficulty properly parsing an array. I realize this is a newb error, so please forgive me.
Example:
import urllib2
import json
import sys
print "Good Morning, Rusty"
i = 0
print "From USA Today: Top Headlines"
f = urllib2.urlopen('http://api.usatoday.com/open/articles/topnews?encoding=json&api_key=98j............v5a93qs')
json_string = f.read()
parsed_json = json.loads(json_string)
for i in parsed_json[0]['stories']['title']:
print json.dump(i)
f.close()
There's one major section called stories, and under it multiple occurrences of description, title, link, pubDate and several other fields.
I simply want to print the dozen or so titles presented by that JSON.
Well, I did more learning and research, and at least got code that would print the top 5 headlines:
Here's what I solved this with:
json_string = f.read()
parsed_json = json.loads(json_string)
for i in range(6):
title = parsed_json['stories'][i]['title']
link = parsed_json['stories'][i]['link']
print title
print link
print "-----------------------------------"
I have a little problem with my code. I have a table containing car details, name, price and quantity, so I am trying to create a function called buy which will be used to buy a specific car. When a user buys eg 5 BMW cars, they will call buy_car(bmw,5). Now after this I want to update the new value of quantity for BMW cars.
My attempt is below but I can't seem to work around it, I am new to Erlang.
buy_car(X,Ncars) ->
F = fun() ->
%% ----first i find the number of car X available in the shop
[Xcars] = mnesia:read({car,X}),
Nc = Xcars#car.quantity,
Leftcars = Xcars#car{quantity = Nc - Ncars},
%% ---now we update the database
mnesia:write(Leftcars),
end,
mnesia:transaction(F).
Please help me with how I can write a function that buys cars from the shop.
But your implementation works fine except you added illegal comma after mnesia:write(Leftcars).
Here is code that works (I tried your implementation as buy_car2).
-module(q).
-export([setup/0, buy_car/2, buy_car2/2]).
-record(car, {brand, quantity}).
setup() ->
mnesia:start(),
mnesia:create_table(car, [{attributes, record_info(fields, car)}]),
mnesia:transaction(fun() -> mnesia:write(#car{brand=bmw, quantity=1000}) end).
buy_car(Brand, Ncars) ->
F = fun() ->
[Car] = mnesia:read(car, Brand), % crash if the car is missing
mnesia:write(Car#car{quantity = Car#car.quantity - Ncars})
end,
mnesia:transaction(F).
buy_car2(X,Ncars) ->
F = fun() ->
%% ----first i find the number of car X available in the shop
[Xcars] = mnesia:read({car,X}),
Nc = Xcars#car.quantity,
Leftcars = Xcars#car{quantity = Nc - Ncars},
%% ---now we update the database
mnesia:write(Leftcars)
end,
mnesia:transaction(F).
I would do something like below:
Considering the record is defined as :
-record(car_record, {car, quantity}).
The following function will update the data:
buy_car(X,NCars) ->
Row = #car_record{car = X, quantity = NCars}.
mnesia:ets(fun()-> mnesia:dirty_write(Row) end),
mnesia:change_table_copy_type(guiding_data, node(), disc_copies).
To use the above method, mnesia table must be created as "ram_copies" and with no replication nodes. Also, if there are lot of updates happening, you might not want to copy the ram_copies to disk for every update due to performance issues, rather you will do it in time triggered manner.