elevator_tuple() = {term(), integer(), up | down | idle}
order_tuple() = {term(), integer(), hall_up | hall_down | cab}
| get/3 | Returns a cost of letting the elevator take an order. |
| get_order_cost/7 | Longer, more explicit version of cost_function:get/3. |
get(Elevator::elevator_tuple(), Order::order_tuple(), Number_of_floors::integer()) -> integer()
Returns a cost of letting the elevator take an order.
Elevator is a tuple of an identifyer for the elevator, the floor it is on, and the state it is (up/down/idle)
Order is a tuple of the identifyer for the elevator that made the order, the destination-floor and the direction it was made in (hall_up, hall_down, cab)
1> cost_function:get( {node(), 1, up}, {node(), 1, hall_down}, 4).
5
2>get_order_cost(Elevator_node::term(), Elevator_floor::integer(), Elevator_direction::up | down | idle, Order_node::atom() | pid(), Order_floor::integer(), Order_direction::hall_up | hall_down | cab, Number_of_floors::integer()) -> integer()
Longer, more explicit version of cost_function:get/3.
get_order_cost/7 works the same as get/3, but it forces the user to unpack everything, so that it might, hopefully become a bit easier to use
Elevator_node and Order_node reffers to anything that can be used to separate two elevators capable of distinguishing two elevators from each other1> cost_function:get_order_cost( "My elevator", 1, up, "Other elevator", 3, hall_down, 4).
4
2>Generated by EDoc


{% extends "layout.html" %} {% block content %}
SMARTEMBED is an automated web service tool, which can help Solidity developers to find repetitive contract code and clone-related bugs in smart contracts.
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Intel Open Image Denoise comparison
by Efim PetelinEfim Petelin writes:
This is little exercise considernig new Intel Open Image Denoise for animation purposes. My good old Cacodaemon kindly agreed to take participation in this experiment. =)
Efim Petelin writes:
This is little exercise considernig new Intel Open Image Denoise for animation purposes. My good old Cacodaemon kindly agreed to take participation in this experiment. =)


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Stage a Benefit Event in 2016 - V-Season is Now Open for Registration!
Stage a Benefit Event in 2015
Let V-Season begin -
Beginning today, activists can register to produce a 2016 V-Day
benefit production of
http://action.vday.org/site/R?i=rdhNFScE-JEL1RuPA5Esug
The Vagina Monologues and/or A Memory, A Monologue, A Rant and A
Prayer. The two artistic works will be available free of charge to
registered activists producing benefit performances during the month
of February. By focusing the benefit performances during one month -
February - we maximize the impact. Already
returning organizers in over 130 locations have signed up for the 2016
season.*
Each year, thousands of V-Day benefit events take place produced by
volunteer activists in the U.S. and around the world. These efforts
have raised consciousness, changed laws to protect women and girls,
funded rape crisis centers and domestic violence shelters (in many
cases these much needed funds kept them from closing), educated their
communities, and raised over $100 million in urgently needed funds for
groups doing the essential work of ending violence and serving
survivors and their families.
V-Day 2016 Launch
Since V-Day launched in 1998, activists have also staged their own
works, reflecting the voices in their communities. If you would like
to foreground new voices in the conversation around ending violence
against women, we encourage you to do so by curating stories from your
community and creating a new artistic evening that you present
separately. Many organizers have done this, both instead of The Vagina
Monologues and in addition to The Vagina Monologues. Consider
revolutionizing your art and activism by creating new artistic events
local writers, activists and artists. READ about some examples from
past years >
http://action.vday.org/site/R?i=c1dheigc_q9If1HdSqqdbg
The Revolution continues - One Billion Rising: Rise for
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braver, bolder, more creative and determined actions that focus on the
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Linear Regression¶
Linear regression, as the name suggests, simply means to fit a linear model to a dataset. Consider a dataset consisting of input-output pairs \(\lbrace(\mathbf{x}_{1}, y_{1}), \dots, (\mathbf{x}_{m}, y_{m})\rbrace\), where the inputs are \(n\)-component vectors \(\boldsymbol{x}^{T} = (x_1, x_2, \dots , x_n)\) and the output \(y\) is a real-valued number. The linear model then takes the form
or in matrix notation
where \(\mathbf{\tilde{x}}^{T} = (1, x_1, x_2, \dots , x_n)\) and \(\boldsymbol \beta = (\beta_0, \dots, \beta_n)^{T}\) are \((n+1)\) dimensional row vectors.
The aim then is to find parameters \(\hat{\boldsymbol \beta}\) such that \(f(\mathbf{x}|\hat{\boldsymbol \beta})\) is a good estimator for the output value \(y\). In order to quantify what it means to be a “good” estimator, one need to specify a real-valued loss function \(L(\boldsymbol \beta)\), sometimes also called a cost function. The good set of parameters \(\hat{\boldsymbol \beta}\) is then the minimizer of this loss function
There are many, inequivalent, choices for this loss function. For our purpose, we choose the loss function to be residual sum of squares (RSS) defined as
where the sum runs over the \(m\) samples of the dataset. This loss function is sometimes also called the L2-loss and can be seen as a measure of the distance between the output values from the dataset \(y_i\) and the corresponding predictions \(f(\mathbf{x}_i|\boldsymbol \beta)\).
It is convenient to define the \(m\) by \((n+1)\) data matrix \(\widetilde{X}\), each row of which corresponds to an input sample \(\mathbf{\tilde{x}}^{T}_{i}\), as well as the output vector \(\mathbf{Y}^{T} = (y_{1}, \dots, y_{m})\). With this notation, Eq. (10) can be expressed succinctly as a matrix equation
The minimum of \(\textrm{RSS}(\boldsymbol \beta)\) can be easily solved by considering the partial derivatives with respect to \(\boldsymbol \beta\), i.e.,
At the minimum, \(\frac{\partial \textrm{RSS}}{\partial \boldsymbol \beta} = 0\) and \(\frac{\partial^{2} \textrm{RSS}}{\partial \boldsymbol \beta\partial \boldsymbol \beta^{T}}\) is positive-definite. Assuming \(\widetilde{X}^{T}\widetilde{X}\) is full-rank and hence invertible, we can obtain the solution \(\hat{\boldsymbol \beta}\) as
If \(\widetilde{X}^{T}\widetilde{X}\) is not full-rank, which can happen if certain data features are perfectly correlated (e.g., \(x_1 = 2x_3\)), the solution to \(\widetilde{X}^{T}\widetilde{X}\boldsymbol \beta = \widetilde{X}^{T}\mathbf{Y}\) can still be found, but it would not be unique. Note that the RSS is not the only possible choice for the loss function and a different choice would lead to a different solution.
What we have done so far is uni-variate linear regression, that is linear regression where the output \(y\) is a single real-valued number. The generalisation to the multi-variate case, where the output is a \(p\)-component vector \(\mathbf{y}^{T} = (y_1, \dots y_p)\), is straightforward. The model takes the form
where the parameters \(\beta_{jk}\) now have an additional index \(k = 1, \dots, p\). Considering the parameters \(\beta\) as a \((n+1)\) by \(p\) matrix, we can show that the solution takes the same form as before [Eq. (11)] with \(Y\) as a \(m\) by \(p\) output matrix.
Statistical analysis¶
Let us stop here and evaluate the quality of the method we have just introduced. At the same time, we will take the opportunity to introduce some statistics notions, which will be useful throughout the book.
Up to now, we have made no assumptions about the dataset we are given, we simply stated that it consisted of input-output pairs, \(\{(\mathbf{x}_{1}, y_{1}), \dots,\) \((\mathbf{x}_{m}, y_{m})\}\). In order to assess the accuracy of our model in a mathematically clean way, we have to make an additional assumption. The output data \(y_1\ldots, y_m\) may arise from some measurement or observation. Then, each of these values will generically be subject to errors \(\epsilon_1,\cdots, \epsilon_m\) by which the values deviate from the “true” output without errors,
We assume that this error \(\epsilon\) is a Gaussian random variable with mean \(\mu = 0\) and variance \(\sigma^2\), which we denote by \(\epsilon \sim \mathcal{N}(0, \sigma^2)\). Assuming that a linear model in Eq. (8) is a suitable model for our dataset, we are interested in the following question: How does our solution \(\hat{\boldsymbol \beta}\) as given in Eq. (11) compare with the true solution \(\boldsymbol \beta^{\textrm{true}}\) which obeys
In order to make statistical statements about this question, we have to imagine that we can fix the inputs \(\mathbf{x}_{i}\) of our dataset and repeatedly draw samples for our outputs \(y_i\). Each time we will obtain a different value for \(y_i\) following Eq. (14), in other words the \(\epsilon_i\) are uncorrelated random numbers. This allows us to formalise the notion of an expectation value \(E(\cdots)\) as the average over an infinite number of draws. For each draw, we obtain a new dataset, which differs from the other ones by the values of the outputs \(y_i\). With each of these datasets, we obtain a different solution \(\hat{\boldsymbol \beta}\) as given by Eq. (11). The expectation value \(E(\hat{\boldsymbol \beta})\) is then simply the average value we obtained across an infinite number of datasets. The deviation of this average value from the “true” value given perfect data is called the bias of the model,
For the linear regression we study here, the bias is exactly zero, because
where the second line follows because \(E(\mathbf{\epsilon}) = \mathbf{0}\) and \((\widetilde{X}^{T}\widetilde{X})^{-1} \widetilde{X}^{T} \mathbf{Y}^{\textrm{true}} = \boldsymbol \beta^{\textrm{true}}\). Equation (16) implies linear regression is unbiased. Note that other machine learning algorithms will in general be biased.
What about the standard error or uncertainty of our solution? This information is contained in the covariance matrix
The covariance matrix can be computed for the case of linear regression using the solution in Eq. (11), the expectation value in Eq. (16) and the assumption in Eq. (14) that \(Y = Y^{\textrm{true}} + \mathbf{\epsilon}\) yielding
This expression can be simplified by using the fact that our input matrices \(\widetilde{X}\) are independent of the draw such that
Here, the second line follows from the fact that different samples are uncorrelated, which implies that \(E(\mathbf{\epsilon} \mathbf{\epsilon}^{T}) = \sigma^2 I\) with \(I\) the identity matrix. The diagonal elements of \(\sigma^2 (\widetilde{X}^{T}\widetilde{X})^{-1}\) then correspond to the variance
of the individual parameters \(\beta_i\). The standard error or uncertainty is then \(\sqrt{\textrm{Var}(\hat{\beta}_{i})}\).
There is one more missing element: we have not explained how to obtain the variances \(\sigma^2\) of the outputs \(y\). In an actual machine learning task, we would not know anything about the true relation, as given in Eq. (14), governing our dataset. The only information we have access to is a single dataset. Therefore, we have to estimate the variance using the samples in our dataset, which is given by
where \(y_i\) are the output values from our dataset and \(f(\mathbf{x}_i|\hat{\boldsymbol \beta})\) is the corresponding prediction. Note that we normalized the above expression by \((m - n - 1)\) instead of \(m\) to ensure that \(E(\hat{\sigma}^2) = \sigma^2\), meaning that \(\hat{\sigma}^2\) is an unbiased estimator of \(\sigma^2\).
Our ultimate goal is not simply to fit a model to the dataset. We want our model to generalize to inputs not within the dataset. To assess how well this is achieved, let us consider the prediction \(\tilde{\mathbf{a}}^{T} \hat{\boldsymbol \beta}\) on a new random input-output pair \((\mathbf{a},y_{0})\). The output is again subject to an error \(y_{0} = \tilde{\mathbf{a}}^{T}\boldsymbol \beta^{\textrm{true}} + \epsilon\). In order to compute the expected error of the prediction, we compute the expectation value of the loss function over these previously unseen data. This is also known as the test or generalization error . For the square-distance loss function, this is the mean square error (MSE)
There are three terms in the expression. The first term is the irreducible or intrinsic uncertainty of the dataset. The second term represents the bias and the third term is the variance of the model. For RSS linear regression, the estimate is unbiased so that
Based on the assumption that the dataset indeed derives from a linear model as given by Eq. (14) with a Gaussian error, it can be shown that the RSS solution, Eq. (11), gives the minimum error among all unbiased linear estimators, Eq. (8). This is known as the Gauss-Markov theorem.
This completes our error analysis of the method.
Regularization and the bias-variance tradeoff¶
Although the RSS solution has the minimum error among unbiased linear estimators, the expression for the generalisation error, Eq. (17), suggests that we can actually still reduce the error by sacrificing some bias in our estimate.
A possible way to reduce generalisation error is actually to drop some data features. From the \(n\) data features \(\lbrace x_{1}, \dots x_{n} \rbrace\), we can pick a reduced set \(\mathcal{M}\). For example, we can choose \(\mathcal{M} = \lbrace x_{1}, x_{3}, x_{7} \rbrace\), and define our new linear model as
This is equivalent to fixing some parameters to zero, i.e., \(\beta_k = 0\) if \(x_{k} \notin \mathcal{M}\). Minimizing the RSS with this constraint results in a biased estimator but the reduction in model variance can sometimes help to reduce the overall generalisation error. For a small number of features \(n \sim 20\), one can search exhaustively for the best subset of features that minimises the error, but beyond that the search becomes computationally unfeasible.
A common alternative is called ridge regression. In this method, we consider the same linear model given in Eq. (8) but with a modified loss function
where \(\lambda > 0\) is a positive parameter. This is almost the same as the RSS apart from the term proportional to \(\lambda\) [c.f. Eq. (10){]. The effect of this new term is to penalize large parameters \(\beta_j\) and bias the model towards smaller absolute values. The parameter \(\lambda\) is an example of a hyper-parameter, which is kept fixed during the training. On fixing \(\lambda\) and minimising the loss function, we obtain the solution
from which we can see that as \(\lambda \rightarrow \infty\), \(\hat{\boldsymbol \beta}_{\textrm{ridge}} \rightarrow \mathbf{0}\). By computing the bias and variance,
it is also obvious that increasing \(\lambda\) increases the bias, while reducing the variance. This is the tradeoff between bias and variance. By appropriately choosing \(\lambda\) it is possible that generalisation error can be reduced. We will introduce in the next section a common strategy how to find the optimal value for \(\lambda\).
The techniques presented here to reduce the generalization error, namely dropping of features and biasing the model to small parameters, are part of a large class of methods known as regularization. Comparing the two methods, we can see a similarity. Both methods actually reduce the complexity of our model. In the former, some parameters are set to zero, while in the latter, there is a constraint which effectively reduces the magnitude of all parameters. A less complex model has a smaller variance but larger bias. By balancing these competing effects, generalisation can be improved, as illustrated schematically in Fig. 7.
In the next chapter, we will see that these techniques are useful beyond applications to linear methods. We illustrate the different concepts in the following example.
Example¶
We illustrate the concepts of linear regression using a medical dataset. In the process, we will also familiarize ourselves with the standard machine learning workflow [see Fig. 8]. For this example, we are given \(10\) data features, namely age, sex, body mass index, average blood pressure, and six blood serum measurements from \(442\) diabetes patients, and our task is train a model \(f(\mathbf{x}|\boldsymbol \beta)\) [Eq. (8)] to predict a quantitative measure of the disease progression after one year.
Recall that the final aim of a machine-learning task is not to obtain the smallest possible value for the loss function such as the RSS, but to minimise the generalisation error on unseen data [c.f. Eq. (17)]. The standard approach relies on a division of the dataset into three subsets: training set, validation set and test set. The standard workflow is summarised in the Box below.
ML Workflow
Divide the dataset into training set \(\mathcal{T}\), validation set \(\mathcal{V}\) and test set \(\mathcal{S}\). A common ratio for the split is \(70 : 15 : 15\).
Pick the hyperparameters, e.g., \(\lambda\) in Eq. (19).
Train the model with only the training set, in other words minimize the loss function on the training set. [This corresponds to Eq. (11) or (20) for the linear regression, where \(\widetilde{X}\) only contains the training set.]
Evaluate the MSE (or any other chosen metric) on the validation set, [c.f. Eq. (17)]
\[\textrm{MSE}_{\textrm{validation}}(\hat{\boldsymbol \beta}) = \frac{1}{|\mathcal{V}|}\sum_{j\in\mathcal{V}} (y_j - f(\mathbf{x}_j|\hat{\boldsymbol \beta}))^2.\]This is known as the validation error.
Pick a different value for the hyperparameters and repeat steps \(3\) and \(4\), until validation error is minimized.
Evaluate the final model on the test set
\[\textrm{MSE}_{\textrm{test}}(\hat{\boldsymbol \beta}) = \frac{1}{|\mathcal{S}|}\sum_{j\in\mathcal{S}} (y_j - f(\mathbf{x}_j|\hat{\boldsymbol \beta}))^2.\]
It is important to note that the test set \(\mathcal{S}\) was not involved in optimizing either parameters \(\boldsymbol \beta\) or the hyperparameters such as \(\lambda\).
Applying this procedure to the diabetes dataset 2, we obtain the results in Fig. 9. We compare RSS linear regression with the ridge regression, and indeed we see that by appropriately choosing the regularisation hyperparameter \(\lambda\), the generalisation error can be minimized.
As side remark regarding the ridge regression, we can see on the left of Fig. 10, that as \(\lambda\) increases, the magnitude of the parameters, Eq. (20), \(\hat{\boldsymbol \beta}_{\textrm{ridge}}\) decreases. Consider on the other hand, a different form of regularisation, which goes by the name lasso regression, where the loss function is given by
Despite the similarities, lasso regression has a very different behaviour as depicted on the right of Fig. 10. Notice that as \(\alpha\) increases some parameters actually vanish and can be ignored completely. This actually corresponds to dropping certain data features completely and can be useful if we are interested in selecting the most important features in a dataset.


Sarah Rene Mesmer
Democrat
Currently employed by the Douglas County Federation as Vice-President
Master of Arts University of Denver, Denver, CO Bachelor of Arts Colorado Women’s College, Denver, CO Certifications: SPHR, SHRM-SPC Professional Development Trainings: Budgeting & Finance, EEO, ADA, FMLA, Training of Trainers, Leadership & Administration, Current Labor Law, Personnel Management, Interest Based Bargaining, Total Quality Management, Compensation Design
80135
I was a caucus delegate to the Douglas County Democratic convention in 2016. Have donated to Douglas County School Board candidates, Douglas County Commissioner candidates, and Biden Harris Presidential ticket.
I am currently a member of the Arapahoe/Douglas Works! Workforce Center Board. Arapahoe/Douglas Works! is a member of the Department of Labor and Employment’s statewide network of workforce centers, which provide a variety of no-cost services to job seekers and businesses. Arapahoe/Douglas Works! serves as a critical resource to connect people and businesses in Arapahoe and Douglas Counties, and throughout the Denver/Aurora metropolitan region. Members of the Arapahoe/Douglas Workforce Board honor the following core values: • Visionary Leadership that advocates human capital development; • Service Excellence grounded in professionalism and respect; • Innovation responsive to workforce needs, that drives economic vitality; • Stewardship of assets and resources focused on local and regional community priorities; • Collaboration with regional workforce, education, and economic development partners; • Dedication to building and sustaining a strong regional economy, and the wellbeing of our business/industry base; • Results that are best-in-class and provide the highest rate of return on public investment.
For the past five years I have worked for the Douglas County Federation, and have served as an officer, including President, of the American Federation of Teachers for the State of Colorado. I am a 4th generation educator and believe in the power of the collective voice. That is to say, I organize and support educators through their professional association both in Douglas County and state-wide. I handle all employee issues that arise between our members and their respective place of employment. My experience as a Human Resources Director, and negotiations facilitator has been invaluable in building relationships and problem solving.
Ensuring the equality of representation between districts in the face of population growth and migration in Colorado is critical. It is important to me that the redistricting process ensures that all Colorado citizens, regardless of their location, receive equal representation to maintain election integrity. I have lived in both rural and urban settings. It is extremely important that boundary lines are drawn in such a way that avoids personal and partisan bias as well as marginalization. I believe that I bring a unique knowledge base and skill sets that will strengthen the capacity of the commission to identify goals, have difficult discussions, and ultimately build consensus. I am a trained mediator, team builder, facilitator, and Interest Based negotiator. I understand the stages, and benchmarks of healthy group development, have the ability to not personalize other’s frustrations, and am able to maintain a neutral posture. I have led many groups through the process of negotiation including goal and interest identification, data and historic analysis, option development, and consensus decision making. I also understand that focusing on mutually agreed upon interests, rather than personal agendas, allows a group to better maintain the big picture and reach a mutually agreed upon conclusion. To be sure, the process of redistricting will not be easy. Decisions made will have profound impacts for a decade. I believe that I bring experience and skills that will enhance the functionality and integrity of this crucial commission.
See answer to previous question
There are numerous “style” surveys available to determine the strengths and areas of growth in learning and leadership. After participating in these surveys, I routinely am identified as someone with high analytic skills. It is important to me to have data and information upon which to make decisions. I seek out information relevant to the situation, consider multiple options, identify positives and potential areas of difficulty, and ultimately make data driven decisions. Context is important to me. I need to know why things exist as they do, and why changes/improvements are being made. To that end, I ask relevant questions, listen, and work to understand why things are as they are before moving forward.
Female


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| Compatibility List |
| for
Glide64 1.0 |
| |
| Game
Name: |
RSP Microcode |
Playability Level |
Relative speed |
Comments |
| 007 - The World is Not Enough |
F3DEX2.XX |
5 |
Normal |
Compatible |
| 1080 Snowboarding |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Read every frame" option to see correct TV
monitors (slow) |
| 40
Winks |
F3DEX2.XX |
5 |
Normal |
Compatible |
| 64 Oozumou |
F3DEX1.XX |
5 |
Normal |
Compatible |
| 64 Oozumou 2 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| 64 Trump Collection - Alice no Wakuwaku
Trump World |
F3DEX1.XX |
5 |
Normal |
Compatible |
| 64 de Hakken!! Tamagotchi Minna de Tamagotchi World |
F3DTEX/A |
3 |
Slow |
Major gfx errors |
| AI Shogi 3 |
F3DEX1.XX |
5 |
Fast |
Compatible. Use 1964 |
| Aerofighter's Assault |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| AeroGauge |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Aidyn Chronicles - The First Mage |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Airboarder 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Akumajou
Dracula Makushiroku - Real Action Adventure |
F3DEX2.XX |
5 |
Normal |
Compatible. Use "Read every frame" option to see correct menu
(slow) |
| Akumajou Dracula Makushiroku-Legend of
Cornell |
F3DEX2.XX |
5 |
Normal |
Compatible. Enable hi-res mode for correct menus |
| All Star Tennis '99 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| All-Star Baseball 99 |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Get frame buffer info" option with Mupen or
use "Read every frame" option to see correct TV monitors (slow).
Minor gfx errors |
| All-Star Baseball 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use Nemu 0.8. Use "Read every frame" option to see
correct TV monitors (slow) |
| All-Star Baseball 2001 |
F3DEX1.XX |
5 |
Normal |
Compatible. Use Nemu 0.8. Use "Read every frame" option to see
correct TV monitors (slow) |
| Armorines - Project S.W.A.R.M. |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Army Men - Air Combat |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Army Men - Sarge's Heroes |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Army Men - Sarge's Heroes 2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Asteroids Hyper 64 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Automobili Lamborghini |
F3DEX1.XX |
5 |
Normal |
Compatible. Minor gfx errors |
| Baku
Bomberman |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Get frame buffer info" option with Mupen or
use "Read every frame" option to see intro correctly (slow) |
| Baku
Bomberman 2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Bakuretsu Muteki Bangaioh |
F3DEX1.XX |
5 |
Slow |
Compatible |
| Bakushou Jinsei 64 - Mezase! (Game of
Life) |
RSP SW 2.0X |
5 |
Slow |
Compatible. Use "Read every frame" option to have correct gfx
in game |
| Banjo to
Kazooie no Dai Bouken |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Read every frame" option (slow) or "Get
frame buffer info" option with Mupen to see puzzle effect |
| Banjo to Kazooie no Dai Bouken 2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Banjo-Kazooie |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Read every frame" option (slow) or "Get
frame buffer info" option to see puzzle effect with
Mupen |
| Banjo-Tooie |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Bass Hunter 64 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Bass Rush - ECOGEAR PowerWorm
Championship |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Bass Tsuri No.1 - Shigesato Itoi's Bass
Fishing |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Bassmasters 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Batman Beyond - Return of the Joker |
F3DEX2.XX |
5 |
Normal |
Compatible |
| BattleTanx |
F3DEX1.XX |
5 |
Fast |
Compatible |
| BattleTanx - Global Assault |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Battlezone - Rise of the Black Dogs |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Beetle Adventure Racing |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Big Mountain 2000 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Bio F.R.E.A.K.S. |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Bio Hazard 2 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Blast Corps |
RSP SW 2.0X |
5 |
Normal |
Compatible. Use PJ64. Minor gfx errors |
| Blast Dozer |
RSP SW 2.0X |
5 |
Normal |
Compatible. Use PJ64. Minor gfx errors |
| Blues Brothers 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Body Harvest |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Read every frame" option (slow) or "Get
frame buffer info" with Mupen to have correct menu |
| Bokujo Monogatari 2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Bomberman 64 |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Get frame buffer info" option with Mupen or
use "Read every frame" option to see intro correctly (slow) |
| Bomberman64 - The Second Attack |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Bomberman Hero |
F3DEX1.XX |
5 |
Fast |
Compatible. |
| Bottom of the 9th |
F3DEX2.XX |
5 |
Fast |
Compatible. Use "Read every frame" option (slow) to see
correct intro |
| Brunswick
Circuit Pro Bowling |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Buck Bumble |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Bug's Life, A |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Bust-A-Move '99 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Bust-A-Move 2 - Arcade Edition |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Bust-A-Move 3 DX |
F3DEX1.XX |
5 |
Fast |
Compatible |
| California
Speed |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Carmageddon 64 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Castlevania |
F3DEX2.XX |
5 |
Normal |
Compatible. Use "Read every frame" option to see correct menu
(slow) |
| Castlevania - Legacy of Darkness |
F3DEX2.XX |
5 |
Normal |
Compatible. Enable hi-res mode for correct menus |
| Centre Court Tennis |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Chameleon Twist |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Chameleon Twist 2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Charlie Blast's Territory |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Chopper Attack |
RSP SW 2.0X |
5 |
Fast |
Compatible |
| Choro Q 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Choro Q 64 II |
F3DEX2.XX |
5 |
Fast |
Compatible. Use "Read every frame" option (slow) or "Get
frame buffer info" option with Mupen to see correct menu |
| Chou Kuukan Night Pro Yakyuu King |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Chou Kuukan Night Pro Yakyuu King 2 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Chou Snobow Kids |
F3DEX2.XX |
5 |
Fast |
Compatible |
| City-Tour GP - Zennihon GT Senshuken |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Clay Fighter - Sculptor's Cut |
F3DEX1.XX |
5 |
Slow |
Compatible |
| Clay Fighter 63 1-3 |
F3DEX1.XX |
5 |
Slow |
Compatible |
| Command & Conquer |
F3DEX2.XX |
3 |
Fast |
Not playable |
| Conker's Bad Fur Day |
F3DEXGB2.08 |
5 |
Normal |
Compatible. Use "Read every frame" option (slow) to get black
and white effect during “It’s war” cut scene and Buga
pixellisation effect |
| Cruis'n Exotica |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Cruis'n USA |
RSP SW 2.0X |
5 |
Fast |
Compatible |
| Cruis'n World |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Custom Robo |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Custom Robo V2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| CyberTiger |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Dance Dance Revolution - Disney Dancing
Museum |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Dark Rift |
TURBO3D |
5 |
Normal |
Compatible |
| Deadly Arts |
F3DEX1.XX |
5 |
Slow |
Compatible |
| Défi au Tetris Magique |
S2DEX.XX |
5 |
Normal |
Compatible |
| Densha de GO! 64 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use 1964 |
| Derby
Stallion |
F3DEX2.XX |
5 |
Normal |
Compatible. Use Nemu 0.8 |
| Destruction Derby 64 |
F3DEX1.XX |
5 |
Slow |
Compatible |
| Dezaemon 3D |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Diddy Kong Racing |
RSP SW DKR |
5 |
Fast |
Compatible |
| Disney's Donald Duck - Goin' Quackers |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Read every frame" option to see correct
transition effects in menu |
| Disney's Tarzan |
F3DEX2.XX |
5 |
Normal |
Compatible. Use PJ64 |
| Donald Duck - Quack Attack |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Read every frame" option to see correct
transition effect in menu |
| Donkey Kong 64 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use PJ64 |
| Doom 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Doraemon - Mittsu no Seireiseki |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Doraemon 2 - Hikari no Shinden |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Doraemon 3 - Nobi Dai no Machi SOS! |
F3DEX1.XX |
5 |
Fast |
Compatible. Use 1964 |
| Doubutsu no Mori |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Dr. Mario 64 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Dual Heroes |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Duck Dodgers Starring Daffy Duck |
F3DEX2.XX |
5 |
Slow |
Compatible |
| Duke Nukem - ZER0 H0UR |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Duke Nukem 64 |
RSPSW 2.0X |
5 |
Normal |
Compatible. Minor gfx errors |
| ECW Hardcore Revolution |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Earthworm Jim 3D |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Eikou no Saint Andrew |
RSP SW 2.0X |
2 |
Normal |
Compatible, Use "Read every frame" option (slow) or "Get
frame buffer info" with Mupen to have correct background in game |
| Elmo's Letter Adventure |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Elmo's Number Journey |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Eltale Monsters |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Excitebike 64 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Extreme-G |
F3DEX1.XX |
5 |
Normal |
Compatible. Minor gfx errors |
| Extreme-G XG2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| F-1 Pole Position 64 |
F3DEX1.XX |
5 |
Fast |
Compatible. Use "Read every frame" option (slow) or "Get
frame buffer info" with Mupen to have correct menu |
| F-1 World Grand Prix |
F3DEX1.XX |
5 |
Normal |
Compatible |
| F-1 World Grand Prix II |
F3DEX2.XX |
5 |
Normal |
Compatible |
| F-Zero X |
F3DEX2.XX |
5 |
Normal |
Compatible |
| F1 Racing Championship |
F3DEX2.XX |
5 |
Normal |
Compatible. Use Mupen |
| FIFA - Road to World Cup 98 |
RSP SW 2.0X |
5 |
Slow |
Compatible |
| FIFA 99 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| FIFA Soccer 64 |
RSP SW 2.0X |
5 |
Normal |
Compatible. Use 1964 |
| Famista 64 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use "Read every frame" option (slow) or "Get
frame buffer info" with Mupen to have ground in game |
| Fighter Destiny 2 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Fighter's Destiny |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Fighting Cup |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Fighting Force 64 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Fire Electric Pen |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Flying Dragon |
F3DEX1.XX |
5 |
Normal |
Compatible. Minor gfx errors |
| Forsaken 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Frogger
2 (Alpha) |
F3DEX2.XX |
5 |
Fast |
Compatible |
| FoxSportsCollege Hoops ‘99 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Fushigi no Dungeon - Fuurai no Shiren 2 |
F3DEX2.XX |
5 |
Normal |
Compatible.
Use "Read every frame" option (slow) or "Get frame buffer
info" with Mupen to have backgrounds in menus |
| G.A.S.P! Fighter's NEXTream |
F3DEX2.XX |
5 |
Normal |
Compatible. Use (J) version or use Mupen |
| GT 64 - Championship Edition |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Ganbare Goemon - Derudero Douchuu Obake Tenkomori |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Ganbare Goemon - Mononoke Sugoroku |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Ganbare Goemon - Neo Momoyama Bakufu no
Odori |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Ganbare Nippon Olympics 2000 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Gauntlet Legends |
F3DEX2.XX |
2 |
Normal |
Missing gfx. Flickerings. Use PJ64 |
| Getter Love !! Cho Renai Party Game |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Gex 3 - Deep Cover Gecko |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Gex 64 - Enter the Gecko |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Glover |
F3DEX1.XX |
5 |
Normal |
Compatible (For (E) version use Mupen) |
| Goemon's Great Adventure |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Golden Nugget 64 |
RSP SW 2.0X |
5 |
Fast |
Compatible. Use 1964 or Mupen |
| GoldenEye 007 |
RSP SW 2.0G |
5 |
Slow |
Compatible |
| HVS Adventure Racing |
F3DEX2.XX |
5 |
Normal |
Compatible. Use PJ64 Audio Fix Edition |
| Hamster Monogatari 64 |
S2DEX.XX |
5 |
Normal |
Compatible |
| Hanafuda 64 - Tenshi no Yakusoku |
F3DEX2.XX |
5 |
Normal |
Compatible. Use 1964 |
| Harukanaru Augusta Masters 98 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Harvest Moon 64 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Heiwa Pachinko World 64 |
F3DEX2.XX |
3 |
Normal |
Gfx errors |
| Hercules - The Legendary Journeys |
F3DEX2.XX |
5 |
Normal |
Compatible. Minor gfx errors |
| Hexen |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Read every frame" option (slow) to see texts
at objectives screen |
| Hey You, Pikachu! |
F3DEX2.XX |
3 |
Normal |
Gfx errors (needs voice pak) |
| Hiryuu no Ken Twin |
F3DEX1.XX |
5 |
Normal |
Compatible. Minor gfx errors |
| Holy Magic Century |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Hoshi no Kirby 64 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use Mupen for correct status bar |
| Hot Wheels Turbo Racing |
F3DEX2.XX |
5 |
Slow |
Compatible |
| Human Grand Prix - New Generation |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Read every frame" option (slow) or "Get
frame buffer info" with Mupen to have correct menu |
| Hybrid Heaven |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Hydro Thunder |
F3DEX2.XX |
5 |
Normal |
Compatible. Use PJ64 |
| Ide Yosuke no Mahjong Juku |
F3DEX1.XX |
5 |
Normal |
Compatible. Use Nemu 0.8 (disable audio HLE) |
| Iggy's Reckin' Balls |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Iggy-kun no Bura Bura Poyon |
F3DEX1.XX |
5 |
Normal |
Compatible |
| In-Fisherman Bass Hunter 64 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Indiana
Jones and the Infernal Machine |
? |
0 |
? |
Unsupported. Microcode not implemented |
| Indy Racing 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| International Superstar Soccer '98 |
F3DEX1.XX |
5 |
Normal |
Compatible.
Use “Read every frame” option to see correct effects after
scoring a goal |
| International Superstar Soccer 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible.
Use “Read every frame” option to see correct effects after
scoring a goal |
| International Superstar Soccer 64 |
F3DEX1.XX |
5 |
Normal |
Compatible. Minor gfx errors |
| International Track & Field
2000 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| International Track & Field Summer
Games |
F3DEX2.XX |
5 |
Normal |
Compatible |
| J. League Dynamite Soccer 64 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| J. League Eleven Beat 1997 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| J. League Live 64 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| J. League Tactics Soccer |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Jangou Simulation Mahjong Do 64 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Jeopardy! |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Jeremy McGrath Supercross 2000 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Jet Force Gemini |
RSP SW RARE4 |
5 |
Normal |
Compatible |
| Jikkyou G1 Stable |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Jikkyou J. League 1999 - Perfect Striker
2 |
F3DEX2.XX |
5 |
Normal |
Compatible.
Use “Read every frame” option to see correct effects after
scoring a goal |
| Jikkyou J. League Perfect Striker |
RSP SW 2.0X |
5 |
Normal |
Compatible.
Use “Read every frame” option to see correct effects after
scoring a goal |
| Jikkyou Powerful Pro Yakyuu - Basic Han
2001 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Jikkyou Powerful Pro Yakyuu 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Jikkyou Powerful Pro Yakyuu 4 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Jikkyou Powerful Pro Yakyuu 5 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Jikkyou Powerful Pro Yakyuu 6 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Jikkyou World Cup France '98 |
RSP SW 2.0X |
5 |
Normal |
Compatible.
Use “Read every frame” option to see correct effects after
scoring a goal |
| Jikkyou World Soccer 3 |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Jinsei Game 64 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| John Romero's Daikatana |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Kakutou Denshou - F-Cup Maniax |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Ken Griffey Jr.'s Slugfest |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Killer Instinct Gold |
RSP SW 2.0X |
5 |
Fast |
Compatible |
| King Hill 64 - Extreme Snowboarding |
F3DEX2.XX |
5 |
Normal |
Compatible. Minor gfx errors. |
| Kiratto Kaiketsu! 64 Tanteidan |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Kirby 64 - The Crystal Shards |
F3DEX2.XX |
5 |
Fast |
Compatible. Use Mupen for correct status bar |
| Knife Edge - Nose Gunner |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Knockout Kings 2000 |
F3DEX2.XX |
5 |
Fast |
Compatible. Use 1964. Minor gfx errors |
| Kobe
Bryant NBA Courtside |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Kuiki-Uhabi-Suigo |
RSP SW 2.0X |
2 |
Normal |
Gfx errors |
| LEGO Racers |
F3DEX2.XX |
5 |
Depends |
Compatible |
| Last Legion UX |
? |
0 |
? |
Unsupported. Microcode
not implemented |
| Legend of Zelda, The - Ocarina of Time |
F3DEX 2.06H |
5 |
*Mostly* Fast |
Compatible |
| Legend of Zelda 2, The - Majora's Mask |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Legend of Zelda, The - Ocarina of Time -
Master Quest |
F3DEX 2.06H |
5 |
*Mostly* Fast |
Compatible |
| Les Razmoket - La Chasse aux Trésors |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Let's Smash Tennis |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Lode Runner 3-D |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Looney Tunes - Duck Dodgers |
F3DEX2.XX |
5 |
Slow |
Compatible |
| Lylat Wars |
F3DEX1.XX |
5 |
Fast |
Compatible |
| MRC - Multi Racing Championship |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Mace - The Dark Age |
F3DEX1.XX |
5 |
Normal |
Compatible. |
| Madden Football 64 |
F3DEX1.XX |
5 |
Slow |
Compatible |
| Madden NFL 2000 |
F3DEX1.XX |
5 |
Slow |
Compatible |
| Madden NFL 2001 |
F3DEX1.XX |
5 |
Slow |
Compatible |
| Madden NFL 2002 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Madden NFL 99 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Magical Tetris Challenge |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Mahjong 64 |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Mahjong Hourouki Classic |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Mahjong Master |
RSP SW 2.0X |
5 |
Normal |
Compatible. Minors gfx errors |
| Major League Baseball Featuring Ken
Griffey Jr. |
F3DEX1.XX |
3 |
Normal |
Gfx errors |
| Mario Golf |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Mario
Kart 64 |
F3DEX1.XX |
5 |
Fast |
Compatible. Use “Read every frame” option (slow) or use
"Get frame buffer info" with Mupen to see correct billboards |
| Mario Party |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Mario Party 2 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Mario Party 3 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Mario Story |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Mario
Tennis |
F3DEX2.XX |
4 |
Unstable |
Various gfx errors. |
| Mario No Photopie |
? |
0 |
? |
Unsupported |
| Mega Man 64 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Mia Hamm Soccer |
ZSortp 0.33 |
5 |
Fast |
Compatible. Minors gfx errors |
| Michael Owens WLS 2000 |
ZSortp 0.33 |
5 |
Fast |
Compatible. Minors gfx errors |
| Mickey no Racing Challenge USA |
RSP SW RARE4 |
5 |
Fast |
Compatible |
| Mickey's Speedway USA |
RSP SW RARE4 |
5 |
Fast |
Compatible |
| Micro Machines 64 Turbo |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Midway's Greatest Arcade Hits Volume 1 |
RSP SW 2.0X |
3 |
Normal |
Only few games are fully playable |
| Mike Piazza's Strike Zone |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Milo's Astro Lanes |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Mischief Makers |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Mission
Impossible |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Monaco
Grand Prix |
F3DEX2.XX |
5 |
Normal |
Compatible. Use Mupen64 |
| Monaco
Grand Prix - Racing Simulation 2 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use 1964 |
| Monopoly |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Monster Truck Madness 64 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Morita Shougi 64 |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Mortal Kombat 4 |
F3DEX1.XX |
5 |
Scene dependent |
Compatible |
| Mortal Kombat Mythologies - Sub-Zero |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Mortal Kombat Trilogy |
RSP SW 0.2X |
5 |
Fast |
Compatible |
| Ms. Pac-Man - Maze Madness |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Mystical Ninja 2 - Starring
Goemon |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Mystical Ninja - Starring Goemon |
F3DEX1.XX |
5 |
Normal |
Compatible |
| NASCAR 99 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NASCAR 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NBA Courtside 2 - Featuring Kobe Bryant |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NBA Hangtime |
RSP SW 2.0X |
5 |
Slow |
Compatible |
| NBA In the Zone '98 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| NBA In the Zone '99 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| NBA In the Zone 2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NBA In the Zone 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NBA Jam 2000 |
F3DEX2.XX |
5 |
Slow |
Compatible |
| NBA Jam 99 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NBA Live 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NBA Live 99 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NBA Showtime - NBA on NBC |
F3DEX2.XX |
5 |
Slow |
Compatible. Use PJ64 |
| NFL Blitz |
F3DEX2.XX |
5 |
Fast |
Compatible |
| NFL Blitz - Special Edition |
F3DEX2.XX |
5 |
Fast |
Compatible |
| NFL Blitz 2000 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| NFL Blitz 2001 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| NFL Quarterback Club 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use Nemu 0.8 |
| NFL Quarterback Club 2001 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use Nemu 0.8 |
| NFL Quarterback Club 98 |
F3DEX1.XX |
5 |
Normal |
Compatible. Use Mupen |
| NFL Quarterback Club 99 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use Nemu 0.8 |
| NHL 99 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NHL Blades of Steel '99 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NHL Breakaway 98 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| NHL Breakaway 99 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| NHL Pro 99 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Nagano
Winter Olympics '98 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Namco
Museum 64 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Neon Genesis Evangelion |
F3DEX2.XX |
5 |
Normal |
Compatible |
| New Tetris, The |
F3DEX2.XX |
5 |
Normal |
Compatible.
Use
Mupen |
| Nightmare Creatures |
F3DEX2.XX |
5 |
Normal |
Compatible. Use PJ64 |
| Nintama Rantarou Gallery 64 |
S2DEX.XX |
5 |
Slow |
Compatible |
| Nintendo All-Star! Dairantou Smash
Brothers |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Nuclear Strike 64 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Nushi Zuri 64 |
F3DEX1.XX |
5 |
Normal |
Compatible. Use “Read every frame” option (slow) or use
"Get frame buffer info" with Mupen to have backgrounds in game |
| Nushi Zuri 64 - Shiokaze ni Notte |
F3DEX2.XX |
2 |
Normal |
Missing gfx in game |
| O.D.T |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Off Road Challenge |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Ogre Battle 64 - Person of Lordly Caliber |
F3DEX2.XX |
5 |
Normal |
Compatible. Use PJ64 or 1964 0.8.5 (Win9X users must use 1964 0.8.5 or
Nemu 0.8, to get backgrounds). Use "Read every frame" option to see
screen transition effects (slow) |
| Olympic Hockey Nagano '98 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Onegai Monster |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Operation WinBack |
F3DEX2.XX |
5 |
Fast |
Compatible, but a gray square sometimes appear on the screen. Missing
sky |
| PD Ultraman Battle Collection 64 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| PGA European Tour |
F3DEX2.XX |
5 |
Normal |
Compatible. Minor gfx errors |
| Pachinko 365 Nichi |
RSP SW 2.0X |
2 |
Normal |
Compatible |
| Paper Mario |
F3DEX2.XX |
5 |
Fast |
Compatible. Minor gfx errors |
| Paperboy |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Parlor! Pro 64 Pachinko Jikki Simulation
Game |
S2DEX.XX |
5 |
Normal |
Compatible |
| Penny Racers |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Perfect Dark |
RSP SW PD |
5 |
Slow |
Compatible. Use "Read every frame" (slow) or "Get frame
buffer info" with Mupen to get correct pause menu in game |
| Pikachu Genki Dechu |
F3DEX2.XX |
3 |
Normal |
Gfx errors (needs voice pak) |
| Pilot Wings |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Pocket
Monsters Snap |
F3DEX2.XX |
5 |
Normal |
Compatible. Use "Read every frame" option when selecting shots
for professor Oak |
| Pokemon Puzzle League |
S2DEX.XX |
5 |
Normal |
Compatible |
| Pokemon Snap |
F3DEX2.XX |
5 |
Normal |
Compatible. Use "Read every frame" option when selecting shots
for professor Oak |
| Pokemon Stadium |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Pokemon Stadium 2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Polaris SnoCross |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Power League Baseball 64 |
F3DEX2.XX |
4 |
Normal |
Compatible |
| Power Rangers - Lightspeed Rescue |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Powerpuff Girls, The - Chemical
X-traction |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Premier Manager 64 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Pro Mahjong Kiwame 64 |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Pro Majhong Tsuwamono 64 |
S2DEX.XX |
5 |
Slow |
Compatible |
| Puyo Puyo 4 - Puyo Puyo Party |
S2DEX.XX |
5 |
Normal |
Compatible |
| Puyo Puyo Sun 64 |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Puzzle Bobble 64 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Quake 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Quake II |
F3DEX1.XX |
5 |
Normal |
Compatible, Use "Read every frame" (slow) or "Get frame
buffer info" with Mupen to get correct pause menu in game |
| Quest 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| RR64 - Ridge Racer 64 |
F3DEX2.XX |
5 |
Fast |
Compatible. Pause menu doesn't work correctly with Voodoo 1-3 |
| RTL World League Soccer 2000 |
ZSortp 0.33 |
5 |
Fast |
Compatible. Minor gfx errors |
| Racing Simulation 2 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use 1964. Minor gfx errors |
| Rakuga Kids |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Rally '99 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Rally Challenge 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Rampage - World Tour |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Rampage 2 - Universal Tour |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Rat Attack |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Rayman 2 - The Great Escape |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Read every frame" option to see correct
transition effects in game |
| Razor Freestyle Scooter |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Re-Volt |
F3DEX2.XX |
5 |
Fast |
Compatible. Use PJ64 |
| Ready 2 Rumble Boxing |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Ready 2 Rumble Boxing Round 2 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Resident Evil 2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Road Rash 64 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Roadsters |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Robotech
- Crystal Dreams (Beta) |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Robot Ponkottsu 64 - Caramel of the 7
Seas |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Robotron 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Rocket - Robot on Wheels |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Rockman Dash |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Rugrats - Scavenger Hunt |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Rugrats - Treasure Hunt |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Rugrats in Paris - The Movie |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Rush 2 - Extreme Racing USA |
F3DEX2.XX |
5 |
Normal |
Compatible |
| S.C.A.R.S. |
F3DEX2.XX |
5 |
Fast |
Compatible |
| SD Hiryuu no Ken Densetsu |
F3DEX1.XX |
5 |
Normal |
Compatible. Minor gfx errors |
| San Francisco Rush - Extreme Racing |
F3DEX1.XX |
5 |
Normal |
Compatible |
| San Francisco Rush 2049 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Scooby-Doo - Classic Creep Capers |
F3DEX2.XX |
5 |
Normal |
Compatible. Sky in game doesn't work correctly with Voodoo 1-3 |
| Shadow Man |
F3DEX2.XX |
5 |
Normal |
Compatible. Use "Read every frame" option (slow) or "Get
frame buffer info" with Mupen to have correct pause menu in game |
| Shadowgate 64 - Trials of the Four Towers |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Sim City 2000 |
S2DEX.XX |
5 |
Normal |
Compatible |
| Snow Speeders |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Snowboard Kids |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Snowboard Kids 2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Sonic Wings Assault |
RSP SW 2.0X |
5 |
Slow |
Compatible |
| South
Park |
F3DEX2.XX |
5 |
Fast |
Compatible |
| SouthPark - Chef's Luv Shack |
F3DEX2.XX |
5 |
Fast |
Compatible |
| South
Park Rally |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Space Dynamites |
TURBO3D |
5 |
Normal |
Compatible |
| Space
Invaders |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Space Station Silicon Valley |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Spider-Man |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Star Fox 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Star Soldier - Vanishing Earth |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Star Twins |
RSP SW RARE4 |
5 |
Normal |
Compatible. Use "Get frame buffer info" option with Mupen or
use “Read every frame” option (slow) to see correct TV |
| Star Wars - Rogue Squadron |
? |
0 |
? |
Unsupported. Microcode not implemented |
| Star Wars - Shadows of the Empire |
RSP SW 2.0D EXT |
5 |
Normal |
Compatible |
| Star Wars Episode I - Battle for Naboo |
? |
0 |
? |
Unsupported. Microcode not implemented |
| Star Wars Episode I - Racer |
F3DEX2.XX |
5 |
Normal |
Compatible |
| StarCraft 64 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Starshot - Space Circus Fever |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Stunt Racer 64 |
? |
0 |
? |
Unsupported |
| Super B-Daman - Battle Phoenix 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Super Bowling 64 |
F3DEX2.XX |
3 |
Fast |
Gfx errors |
| Super Mario
64 |
RSP SW 2.0X |
5 |
Fast |
Compatible |
| Super Robot Spirits |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Super Robot Taisen 64 |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Super Smash Bros. |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Super Speed Race 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Supercross 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Superman |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Susume! taisen puzzle dama toukon !
Marumata Chou |
S2DEX.XX |
5 |
Normal |
Compatible |
| Taz Express |
RSP SW 2.0X |
5 |
Normal |
Compatible. Use Mupen 0.4 |
| Telefoot Soccer 2000 |
ZSortp 0.33 |
5 |
Normal |
Compatible. Minor gfx errors |
| Tetris 64 |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Tetrisphere |
RSP SW 2.0X |
5 |
Fast |
Compatible |
| Tigger's Honey Hunt |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Tom Clancy's Rainbow Six |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Tom and Jerry in Fists of Furry |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Tonic Trouble |
F3DEX1.XX |
5 |
Normal |
Compatible. Use "Read every frame" option to see correct
transition effects for pause menu in game |
| Tony Hawk's Pro Skater |
F3DEX2.XX |
5 |
Fast |
Compatible. Use PJ64 |
| Tony Hawk's Pro Skater 2 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Tony Hawk's Pro Skater 3 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Toon
Panic |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Top Gear Hyper-Bike |
F3DEX2.XX |
2 |
Normal |
Major gfx errors. Use Mupen |
| Top Gear Overdrive |
F3DEX2.XX |
4 |
Normal |
Gfx errors. Use Mupen |
| Top Gear Rally |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Top Gear Rally 2 |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Toukon Roads |
? |
0 |
? |
Unsupported. Microcode
not implemented |
| Toukon Roads 2 |
? |
0 |
? |
Unsupported. Microcode
not implemented |
| Toy Story 2 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Transformers - Beast Wars Metals 64 |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Transformers - Beast Wars Transmetal |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Triple Play
2000 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use "Get frame buffer info" option with Mupen or
use "Read every frame" option to see correct TV monitors (slow) |
| Tsumi to Batsu - Chikyuu no Keishousha |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Turok - Dinosaur Hunter |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Turok - Rage Wars |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Turok 2 - Seeds of Evil |
F3DEX2.XX |
5 |
Slow |
Compatible |
| Turok 3 - Shadow of Oblivion |
F3DEX2.XX |
5 |
Slow |
Compatible |
| Twisted Edge Extreme Snowboarding |
F3DEX2.XX |
5 |
Slow |
Compatible. Minor gfx errors |
| V-Rally Edition 99 |
F3DEX2.XX |
5 |
Slow |
Compatible. Minor gfx errors |
| Vigilante 8 |
F3DEX2.XX |
2 |
Slow |
Many gfx errors |
| Vigilante 8 - 2nd Offense |
F3DEX2.XX |
2 |
Slow |
Many gfx errors |
| Virtual Chess 64 |
F3DEX1.XX |
5 |
Slow |
Compatible |
| Virtual Pool 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Virtual Pro Wrestling 2 - Oudou
Keishou |
F3DEX2.XX |
5 |
Normal |
Compatible. Use "Read every frame" option to see motion blur
effects during intro |
| Virtual Pro Wrestling 64 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| WCW Backstage Assault |
F3DEX2.XX |
5 |
Normal |
Compatible |
| WCW Mayhem |
F3DEX2.XX |
5 |
Normal |
Compatible |
| WCW Nitro |
F3DEX1.XX |
5 |
Normal |
Compatible |
| WCW vs. nWo - World Tour |
F3DEX1.XX |
5 |
Normal |
Compatible |
| WCW-nWo Revenge |
F3DEX2.XX |
5 |
Normal |
Compatible |
| WWF - War Zone |
F3DEX2.XX |
5 |
Fast |
Compatible. Use "Get frame buffer info" option with Mupen or
use "Read every frame" option to see correct TV monitors (slow) |
| WWF Attitude |
F3DEX2.XX |
5 |
Fast |
Compatible |
| WWF No Mercy |
F3DEX2.XX |
5 |
Fast |
Compatible |
| WWF WrestleMania 2000 |
F3DEX2.XX |
5 |
Normal |
Compatible. Use "Read every frame" option to see motion blur
effects during intro |
| Waialae Country Club - True Golf Classics |
F3DEX1.XX |
5 |
Normal |
Compatible. Minor gfx errors |
| War Gods |
RSP SW 2.0X |
5 |
Fast |
Compatible |
| Wave Race 64 |
RSP SW 2.0D EXT |
5 |
Fast |
Compatible |
| Wave Race 64 Shindou Edition |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Wayne Gretzky's 3D Hockey '98 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Wetrix |
F3DEX1.XX |
5 |
Normal |
Compatible |
| Wheel of Fortune |
RSP SW 2.0X |
5 |
Slow |
Compatible |
| Wild Choppers |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| WinBack - Covert Operations |
F3DEX2.XX |
5 |
Fast |
Compatible, but a gray square sometimes appear on the screen. Missing
sky |
| Wipeout 64 |
F3DEX1.XX |
5 |
Fast |
Compatible |
| Wonder Project J2 |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| World Cup 98 |
F3DEX1.XX |
5 |
Normal |
Compatible |
| World Driver Championship |
? |
0 |
? |
Unsupported |
| Worms
- Armageddon |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Xena Warrior Princess - Talisman of Fate |
F3DEX2.XX |
5 |
Fast |
Compatible |
| Yakouchuu II - Satsujun Kouru |
F3DEX2.XX |
4 |
Normal |
Use Nemu 0.8 (disable audio HLE). No movies |
| Yoshi's Story |
S2DEX.XX |
5 |
Normal |
Compatible.
Minor texture errors. Use "Read every frame" option to see
transition effects |
| Yuke Yuke!! Trouble Makers |
RSP SW 2.0X |
5 |
Normal |
Compatible |
| Zelda no Densetsu 2 - Mujura no Kamen |
F3DEX2.XX |
5 |
Normal |
Compatible |
| Zelda no Densetsu - Toki no Ocarina |
F3DEX 2.06H |
5 |
*Mostly* Fast |
Compatible |
| Zool - Majou Tsukai Densetsu |
F3DEX1.XX |
5 |
Normal |
Compatible |
| |
|
|
|
|
|
|


Amos Price jailed for encouraging dog to savage defenceless cat in Walsall
Amos Price, 30, watched on as his dog mauled a cat in Woodlands Crescent, Pelsall, and was caught on CCTV
by Kelly Ashmore, https://www.facebook.com/dudleybclive/A thug who allowed his dog to maul a helpless cat to death has been jailed for 18 weeks and banned from keeping animals for life.
Amos Price admitted setting a lurcher-type loose to savage a pet cat in Woodlands Crescent, Pelsall, on October 23.
He pleaded guilty to causing unnecessary suffering to a protected animal under the Animal Welfare Act.
The horrifying attack - which has sparked national outcry - was caught on CCTV.
Sickening footage shows Price provoking the dog to attack the cat, called Cleo.
The 30-year-old can be seen grabbing the dog by the collar and lifting it up to ensure it is aware of the cat, which was sat on a wall.
Cleo was then dragged from the wall and onto the ground, where the dog sunk its jaws into her, shaking her from side to side before disappearing from shot.
Walsall Magistrates Court was told Price, who fled the scene, returned a short while later to look for the dog, which wandering the street.
Cleo’s owner, Gary Truefitt, only realised what had happened when he checked CCTV after his pet failed to return home. He said he has had many sleepless nights” since making the horrific discovery.
Following a police appeal, Price was arrested on Monday.
The court heard Price had arresting officers: “I was going to hand myself in on Friday anyway, I’m done with looking over my shoulder and my family are getting threats.”
The court was told he was "ashamed and sorry” for what he had done. He had been intoxicated at the time and would not have done it if he was sober.
In addition to his jail term, Price, a father-of-two, must pay a victim surcharge of £122 and compensation of £250.


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Hi all,
I'd like to to share with you this project for a simple home energy meter reading pulse output with a RaspberryPi.
Features:
- Power usage levels are read from an standard energy meter with pulse output;
- Power usage is collected and sent to emoncms.org;
- Able to drive a buzzer for signaling high-level usage with configurable soft and hard thresholds;
- soft threshold: 1 to 3 intermittent beeps signal depending on proximity to time limit; default for soft limit is set to 3300Wh with a time limit of 3 hours;
- hard threshold: 4 to 6 intermittent beeps signal depending on proximity to time limit; default for hard limit is set to 4000Wh with a time limit of 4 minutes;
You can find source code and detailed information here https://github.com/sermore/emonLight
Please feel free to contact me for any comment you may have.
Thank you,
Sergio Moretti
Re: Project announcement: emonLight
Hello Sergio!
This is a nice idea for a simple energy monitoring device.
If you like to make the alarm feature more usable i suggest thinking about adding a energy / temperature feature so that different alarmlevels can be set depending on outdoor temperature.
This way alarm levels can be set in a way that will not interfere with electrical heating or cooling system.
Description of this diagram is on this URL:
http://openenergymonitor.org/emon/node/10804
I have not yet found how to create this diagram in the emoncms but sure hopes it will come soon as it is a very useful tool for energy managment of buildings.
Re: Project announcement: emonLight
Hi,
I've taken a look at the diagram and it seems to me that this it's a pretty different type of alarm from that currently implemented.
In my opinion what you describe could be built running a script at a time interval, maybe every 4 hours.
This script can read the log file that is currently produced by emonLight in order to collect power usage for that time interval.
With that information and the input from a temperature sensor you can trigger an alarm or whatever.
In order to produce the graph, you can add to the script a call to curl for sending calculated values to emoncms.org.
Hope this help!
Cheers,
Sergio Moretti


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Where Should Tech Companies Recruit To Diversify?
Percent Women Among Computer Science (C.S.) College Graduates, 2011-2013
Source: 2011-2013 IPEDS Completions Survey, National Center for Educational Statistics. Show methodology.
- Only institutions that produced at least 25 computer science bachelor's degrees during 2011-2013 are shown.
- A small handful of institutions like Princeton University awarded computer science bachelor's degrees during this time period, but their IPEDS data did not have sufficient detail about computer science degrees specifically. Those institutions are also not shown.
- The definition of "computer science" was more restricted than some other definitions (only CIP codes 11.0101 and 11.0701 were used).
- For instance, this definition excluded related fields such as computer graphics, computer and information systems security, and information technology.
- Excluding these related fields was nedeed to meaningfully compare across institutions that did and did not offer degrees in these related fields (in other words, "to compare apples to apples").
- These definitional issues are important to consider when comparing these numbers to other statistics. For instance, the national average for 2011-2013 for this restricted defintion was 14.2% women, but 17.9% women for a broader definition that included all 11.xxxx CIP codes.
- The selection of top 25 programs was based on U.S. News and World Report's 2014 ranking of computer science programs.
- Princeton was a top 25 school, but IPEDS did not have specific data for its computer science program.
- U.S. News' list excludes, by definition, liberals art colleges such as Harvey Mudd College. If included, Harvey Mudd would be #1 among top 25 programs for the highest percentage of women among recent C.S. graduates.
Elite Schools Are Leading Recruitment of Women Into Tech
Barriers preventing women from pursuing computing fields are increasing, despite the millions of dollars that are spent every year to reverse this trend.
Women earned only 18% of the U.S.'s bachelor's degrees in computer and information sciences in 2013, down from 27% a decade prior. The numbers are even worse for data restricted to "pure" computer science (C.S.), which excludes related but distinct fields like information technology and computer graphics (see graph below).
However, buried in these data is a glimmer of hope. Several elite C.S. programs like Harvey Mudd, Stanford, and University of Washington are unlocking the secrets about how to reverse these troubling trends. At these elite programs, women's share of C.S. degrees has been slowly but steadily increasing during the past five years.
[How were elite programs defined?]
This trend is especially good news for tech giants like Google and Microsoft that extensively recruit from elite C.S. programs. In the past, these companies have found proportionally less women at elite C.S. programs than elsewhere. However, this situation has reversed in the past five years.
Private schools such as MIT and Stanford contributed the most to these encouraging trends, but two elite public schools also enjoyed recent success: University of California at Berkeley and University of Washington. At Berkeley, women even outnumbered men in taking an introductory computer science course last year.
Although elite programs improved as a group, many specific programs were stagnant. Among top 25 C.S. programs, women earned less than 10 percent of recent degrees at four schools: Georgia Tech, Purdue, University of Massachusetts at Amherst, and University of Wisconsin at Madison. Trends for those schools were flat in recent years.
Harvey Mudd College is now leading efforts to spread its recent success in recruiting women to C.S. Along with the Anita Borg Institute, Harvey Mudd president Maria Klawe leads the Building, Recruiting and Inclusion for Diversity (BRAID) initiative that aims to increase gender and racial diversity in C.S. at 15 universities.
The BRAID initiative provides participating universities with $30,000 per year over three years to support their efforts. In turn, these institutions provide data on what recruitment strategies work most effectively.
[What universities are participating in the BRAID initiative?]
In the long run, the initiative aims to identify effective strategies for increasing diversity at any C.S. program in the nation. At Harvey Mudd, promising strategies included emphasizing the societal relevance of computing in introductory courses, making those courses less intimidating, and providing networking and undergraduate research opportunities.


FOTO-HUE
The online photography competition
Event Description: Meraz’19, IIT Bhilai’s annual Techno-Cultural fest wants to give photographers a platform to showcase their talents through a lot of photography related events, FOTO-HUE is the flagship of all.
Theme:3 themes
- Vintage
- Colors of India
- Time - Black & White
Submission deadline: TBD
Registration Details:
Entry fee : Rs. 50/-
Kahan karne hai wo Meghana dekh legi.
How to Submit:
To<EMAIL_ADDRESS>Subject: Online Photography Competition
Body:
Name of participant
College Name
Mobile Number
Email Id
Proof of transaction (Transaction ID, Screenshot of payment)
Entry(in given size and format)
Rules & Regulations:
- The photo must be clicked after theme announcement.
- The photo submitted must be the original work of the participant. By participating you are stating that you are the owner and the copyright holder of the photographs submitted.
- The photos should abide by the given themes only.
- Each participant is restricted to only one submission per theme.
- Minor digital enhancements with brightness, contrast, saturation, hue can be made. i.e. Global editing is allowed but local editing is not allowed.
- A photo without meta-data will be disqualified. i.e. The photo should contain its date of creation, device name with which the photo was clicked and other details in the meta-data.
- The judging criteria is given below in the table.
- Photos that portray or otherwise include inappropriate and/or offensive content, including provocative nudity, violence, human rights and/or environmental violation, and/or any other contents deemed to be contrary to the law, religious, cultural & moral traditions and practices of India, are strictly prohibited and will be immediately discarded.
- Only the photos submitted through the form will be accepted for the competition.
- The Pixel Snappers' (Photography Club, IIT Bhilai) decision is final and no correspondence will be entered into.
- Winners will be announced through mail.
Judging Criteria (100 marks)
|
Relevance to theme and concept
|
30
|
|
Composition
|
35
|
|
Exposure and post processing
|
25
|
|
Overall Impact, Creativity and uniqueness
|
10
|
Cumulative evaluation will be done for each theme to calculate the final result.


JUDGMENT NIGHT A film review by Jon Ridge Copyright 1993 by Jon Ridge
CAST: Emelio Estevez, Denis Leary, Cuba Gooding, Jr., Stephen Dorff, Jeremy Piven DIRECTOR: Stephen Hopkins PRODUCER: Gene Levy SCREENPLAY: Lewis Colick SCORE: Alan Silvestri RUNNING TIME: 1:49 RELEASE: October 15, 1993
Somewhere between big-budget action films and small-budget morality tales exists JUDGEMENT NIGHT, a constantly exciting, always tense urban thriller about kids on the run. And no matter how you feel about foot-chase movies, or shoot-out movies (or even movies that seldom show you the light of day), *this* movie is never less than engaging at any time.
We first meet Frank Wyatt, a family man whose wife thinks he should stop hanging out with the guys who "have the hormones of teenagers" and start being around adults more. But Frank hasn't been out of the house in a long while and he thinks he needs a breather. So, he tells his wife he loves her, kisses his baby's head (just like any devoted father and husband should), and is off with his best friends for a night out.
Next, are Mike, Ray, and Frank's brother (whom he never, ever gets along with) John. They all congregate in a van/bus, and are off to watch boxing in downtown Chicago.  And wouldn't you know, they find themselves in a part of town none of them has ever seen before. Ray is determined to get them to the boxing match on time, but then a funny thing happens-- he hits some guy on the run from bad guys.
The guys try to help out this stranger they've nearly killed, but before you know it the bad guys show up and retrieve the strange man. Enter Fallon (played by Denis Leary), a drug kingpin/mobster/whatever who pulls a gun and murders the man in cold blood. "Rule number one: Do not steal from me," Fallon states to his band of henchmen. "Rule number two, no witnesses."
And so it goes, as this action-adventure is set into nonstop motion. Given the amount of time this film in on the screen, and the number of long encounters which take place, not much time is allowed for much character development. So, there isn't any (except if you count a whiner/wimp who only shows his true colors when it's too late). Then again, developing characters who provide the grounds for a story that just about leaves you breathless, and nothing more, would be a waste of time, especially when the action is as good as it is here.  And each sequence has a distinct feel to it, and each is inventive enough to make you feel as though you haven't seen any of this before.
The script, by Lewis Colick, is extremely derivative in its ways of executing action and suspense, and the score, by Alan Silvestri, (when it can be heard through all the fantastic rap music) sets a nice tone for what you see. Director Stephen Hopkins, of PREDATOR II fame, does what he couldn't do in that film with this one: Make it credible enough for us to want to continue watching. True, this isn't a classical piece of cinema, but it does just what it needs to: Stay on the screen as long as it needs to be there (no longer, and no less), and excite us while we watch.
CRITICAL RATING: *** Rated R, for Violence and Profanity...
.
The review above was posted to the
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The Internet Movie Database accepts no responsibility for the contents of the
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Related links: index of all rec.arts.movies.reviews reviews


Miner statistics
{{ miner.address }}
Worker
Workers with at least one share in the last 24h
| Worker | Shares (24h) |
|---|---|
| {{ worker.0.name }} | {{ worker.1 }} |
Errors
List of errors related to your miner in the last 24h| Errormessage | Worker | Count |
|---|---|---|
| {{ error_msg.exception_type }} | {{ error_msg.work__worker__name }} | {{ error_msg.total }} |
Transactions
Your current BBP: {{ miner.balance }}
BBP for blocks will be shown 24h after a block was found. The pool sends the BBP to your wallet between 18:00 and 22:00 UTC every day.
Last 100 transactions:
| Date | Amount | Note |
|---|---|---|
| {{ tx.inserted_at }} | {{ tx.amount }} | {{ tx.note }} |


Public Types | |
| enum | ExceptionCode { INVALID_EXPRESSION_ERR = 51, TYPE_ERR = 52, NO_RESULT_ERROR = 53 } |
| ExceptionCode INVALID_EXPRESSION_ERR The expression has a syntax error or otherwise is not a legal expression according to the rules of the specific DOMXPathEvaluator or contains specialized extension functions or variables not supported by this implementation. More... | |
Public Member Functions | |
Constructors | |
| DOMXPathException () | |
| Default constructor for DOMXPathException. | |
| DOMXPathException (short code, short messageCode=0, MemoryManager *const memoryManager=XMLPlatformUtils::fgMemoryManager) | |
| Constructor which takes an error code and a message. | |
| DOMXPathException (const DOMXPathException &other) | |
| Copy constructor. | |
Destructor. | |
| virtual | ~DOMXPathException () |
| Destructor for DOMXPathException. |
ExceptionCode
INVALID_EXPRESSION_ERR The expression has a syntax error or otherwise is not a legal expression according to the rules of the specific DOMXPathEvaluator
or contains specialized extension functions or variables not supported by this implementation.
TYPE_ERR The expression cannot be converted to return the specified type.
NO_RESULT_ERROR There is no current result in the result object.
Reimplemented from DOMException.
| DOMXPathException::DOMXPathException | ( | ) |
Default constructor for DOMXPathException.
| DOMXPathException::DOMXPathException | ( | short | code, | |
| short | messageCode = 0 , |
|||
| MemoryManager *const | memoryManager = XMLPlatformUtils::fgMemoryManager | |||
| ) |
Constructor which takes an error code and a message.
| code | The error code which indicates the exception | |
| messageCode | The string containing the error message | |
| memoryManager | The memory manager used to (de)allocate memory |
| DOMXPathException::DOMXPathException | ( | const DOMXPathException & | other | ) |
Copy constructor.
| other | The object to be copied. |
| virtual DOMXPathException::~DOMXPathException | ( | ) | [virtual] |
Destructor for DOMXPathException.


Please use the form below if you would like to contact our UK Head Office or one of the cinemas. By completing this form you consent to us contacting you regarding this enquiry.
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Remoting Options
DWR provides two remoting options:
1) DWR native - By default DWR
uses a superset of JSON that we like to call JavaScript. This was
initially done to cope with recursive data, XML objects, etc., which
the original JSON specifications had a difficult time dealing with. In
this remoting mode DWR's client side engine (engine.js) handles
preparing and executing the call to the server. Most of the
documentation on this site deals with DWR native.
2) JSON/JSONP - In DWR 3 a
JSON/JSONP RESTian API has been added that allows users to access Java
services exposed to DWR via an URL: http://example.com/dwr/jsonp/ClassName/methodName/param1/param2
DWR will reply with a JSON structure containing the result of calling
ClassName.methodName("param1", "param2");
This allows for seamless integration with JavaScript toolkits (DOJO,
ExtJs, jQuery, etc.) while eliminating the need for the developer to
convert the return types of their exposed Java methods into JSON
manually - DWR's server engine handles this.
Getting Started with JSON/JSONP
In order to enable JSON/JSONP you must
add the jsonpEnabled init-param to your DWR servlet definition in your
web.xml. This parameter activates the JSON/JSONP service.
...
<servlet>
<display-name>DWR Servlet</display-name>
<servlet-name>dwr-invoker</servlet-name>
<description>Direct Web Remoter Servlet</description>
<servlet-class>org.directwebremoting.servlet.DwrServlet</servlet-class>
<init-param>
<param-name>jsonpEnabled</param-name>
<param-value>true</param-value>
</init-param>
...
For an example of the JSON/JSONP functionality you can view this demo which uses JQuery. A similar example using DOJO is also avaiable. Both of these examples are available for download in our dwr.war.


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{% extends "accounts/base.html" %} {% block title %}Resend verification email{% endblock %} {% block body %} {% if success %}
Please check your email
{% elif already_verified %}Your email was already verified. To reset the password, Click here.
{% else %} {% endif %} {% endblock %}


{% extends 'base.html' %} {% block content %}
The page you are looking for might have been removed or
had its name changed or is temporarily unavailable


The new MacBook Pro features a stunning 16-inch Retina display — the largest Retina display ever in a Mac notebook. It produces 500 nits of brightness for spectacular highlights and bright whites, while delivering deep blacks thanks to the precise photo alignment of liquid crystal molecules. And the P3 wide colour gamut enables brilliant, true-to-life images and videos. So no matter where you are, you’ll see your work in the best possible light.
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Ashton Kutcher is an actor, entrepreneur, tech investor and producer. Kutcher currently stars in the Netflix original series, The Ranch. He also serves as Executive Producer. Until 2015, Kutcher starred in the CBS comedy series Two and a Half Men. The show ranked as the second most-watched comedy on all of network television. Kutcher first gained recognition as Michael Kelso on the Fox series That 70’s Show, which aired for eight seasons. Kutcher went on to star in a variety of box office hits on the big screen – including What Happens In Vegas with Cameron Diaz, The Guardian with Kevin Costner, No Strings Attached with Natalie Portman and the cult hit Dude, Where’s My Car. Kutcher served as co-creator and producer of MTV's hit series, “Punk'd,” and The CW's reality series “Beauty and the Geek” and “True Beauty.” He has also produced films such as No Strings Attached, Killers and The Butterfly Effect. In 2011, Kutcher co-created a venture fund, A-Grade Investments, with Ron Burkle and Guy Oseary. To date, A-Grade has invested in multiple tech companies including Airnbnb, Spotify, Uber, Flipboard, Oscar Health, Warby Parker, Nextdoor and Houzz. In 2014, Kutcher and Oseary founded another fund – Sound Ventures, which has invested in Zenreach, Handy, Gusto, Acorns, Mark43 and more. Kutcher has been named one of TIME magazine’s “100 Most Influential People in the World” and honored by Vanity Fair as part of their New Establishment List, which identifies the top 50 of an innovative new breed of buccaneering visionaries, engineering prodigies and entrepreneurs. Twice, Kutcher was named one of Forbes magazine’s “World’s Most Powerful Celebrities,” as well as one of Fast Company magazine’s “Most Creative People.” Additionally, Kutcher co-founded APlus, a digital media company devoted to spreading the message of positive journalism, a kind of storytelling that focuses on our shared humanity. In 2016, APlus was purchased by Chicken Soup for the Soul. Kutcher is also the co-founder of Thorn: Digital Defenders of Children (www.wearethorn.org). Thorn drives technology innovation to fight the sexual exploitation of children.


Neuroplasticity gives people the confidence to know that their brain has the potential to change and adapt which helps them in learning and developing skills required for their career or everyday life.
Mainly this applies to me in the form of learning new skills. I would apply it by ensuring that I am challenging myself and my brain to create a new 'path' for my neurons to wire so that that path can be strengthened and therefore my ability or skill will increase.
To increase neuroplasticity, firstly an understanding of neuroplasticity itself helps, but also both sleep and exercise have been shown to play important roles in growth in the brain. Optimising your sleep by creating a healthy sleep cycle and getting 7-8 hours of quality sleep per night would be helpful, as well as ensuring you are exercising regularly, possibly by going for a walk before you begin learning or at some point during every day.
A resource I found helpful when researching neuroplasticityA growth mindset is essentially the idea that intelligence can be developed as opposed to a fixed mindset where the idea is that intelligence is static. A growth mindset is relevant in any learning situation as it promotes an attitude towards learning which results in better perseverance and overall success.
Personally I had done quite a bit of research into this before, so I was already quite familiar and try to regularly apply a growth mindset to anything I am trying to learn. Some of the studies did suprise me in finding that children even at a kindergarten age could be positively impacted by learning about having a growth mindset and applying it to their education.
Every time I get stuck on something or find something difficult to understand I will try to remember that this challenge I am experiencing will eventually lead to me 'getting smarter' or developing my skills in this area further. Therefore instead of avoiding challenges and difficult concepts I will try to seek them out to make sure I am always challenging myself and learning as much as I possibly can.
A resource I found helpful when researching the growth mindset


Introduction to the PHP Framework with Ajax & Redux
In this course, you will learn the of PHP Framework and Ajax. This course will build your foundation for intermediate level courses.
- Chris
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In this course, you will learn the of PHP Framework and Ajax. This course will build your foundation for intermediate level courses.
In this course, you will learn the of PHP Framework and Ajax. This course will build your foundation for intermediate level courses.
In this course, you will learn the of PHP Framework and Ajax. This course will build your foundation for intermediate level courses.
In this course, you will learn the of PHP Framework and Ajax. This course will build your foundation for intermediate level courses.
In this course, you will learn the of PHP Framework and Ajax. This course will build your foundation for intermediate level courses.
In this course, you will learn the of PHP Framework and Ajax. This course will build your foundation for intermediate level courses.
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When Kylia found HEC Paris’ How to Become an Entrepreneur for Social Change course on Coursera, she was working as a Communications Manager for a bank in France and struggling to find meaning in her job
READ MOREWhen Kylia found HEC Paris’ How to Become an Entrepreneur for Social Change course on Coursera, she was working as a Communications Manager for a bank in France and struggling to find meaning in her job
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Print the given matrix in spiral format starting from the leftmost bottom element.
Input Format
The first line of the input indicates number of rows and columns in the matrix.
Output Format
Print the Matrix in Spiral Format starting from the leftmost bottom element.
Sample Input
4 4
1 2 3 4
5 6 7 8
9 3 2 1
5 4 3 2
Sample Output
5 4 3 2 1 8 4 3 2 1 5 9 3 2 7 6


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--- layout: post authors: ["Greg Wilson"] title: "Online Instructor Training Revisited" date: 2015-05-19 time: "19:00:00" tags: ["Instructor Training"] ---
We have now run instructor training in three formats:
We've also gathered a lot of feedback on what people want from instructor training and what its prerequisites should be. Based on all of that, we're going to try to combine the best features of everything we've done so far.
On June 8-9, we're going to run instructor training for 18 people at three sites: one in South Africa, one in the United Kingdom, and one in the United States. Three days later, on June 12-13, we're going to do it again for about 15 people at another three sites that belong to one of our partner organizations. Aleksandra Pawlik from the Software Sustainability Institute, Warren Code from the UBC Science Centre for Learning and Teaching, and I will give these trainees the same lessons and exercises as participants in the live course. There will be a bit more structure—the first day will mostly be about generic pedagogy, while the second will cover Software Carpentry-specific things— and they will then do the same graduation exercise as our online trainees (i.e., submit a change to one of our lessons and teach online for five minutes).
If this goes well, we will then decide what to do about instructor training in future. People enjoy the multi-week course, but it's been a growing drain on scarce resources, and the drop-out rate for the two-day classes is much lower than that of the multi-week class. If we can achieve the same results in a more compressed format, we may run one extended course and several intensive ones each year instead of having an extended course going all the time. (I think we'll still need the extended course to reach people who can't get together in groups for intensive courses.) We should know in four weeks—we'll let you know when we do.