Perlu Network score measures the extent of a member’s network on Perlu based on their connections, Packs, and Collab activity.
Perlu Pulse score measures how active a member is on Perlu, on a scale of 0 to 100.
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Here we put q i.e the ma (moving average window), d (order of differencing ) and p (number of lag observations) are set to 1.The code snippet for this is :We can see it’s better to use ARIMA than AR or MA model, as this is the model that closely resembles the actual outcome. P and Q hyperparameters after conducting the Canova-Hansen to determine the optimal order of seasonal differencing D, so that the auto-regressive/moving average portions of the seasonal model are defined by start_P, start_Q, max_P, max_QThe model is fitted within ranges of defined start_p order (or number of time lags for AR), max_p, start_q (order of the moving average MA), max_q ranges. In the equation of SARIMA(p,d,q)x(P,D,Q):P denotes Seasonal AR, D denote Seasonal Order of seasonal differencing and Q denotes Seasonal Moving Average, x is the frequency of the time series. With more number of COVID-19 cases evolving, the right order of differencing (if needed multiple orders of differencing) needs to be computed to arrive at a near-stationary series (ACF plot nearing zero).Here we have only computed RMSE, but an ideal situation all error metrics Mean Absolute Percentage Error (MAPE), Mean Error (ME), Mean Absolute Error (MAE), Mean Percentage Error (MPE), Root Mean Squared Error (RMSE), Lag 1 Autocorrelation of Error (ACF1)
If Bitcoin is recognized as a safe asset, then its price movement should be similar to that of gold and treasury because those two assets are safe assets. Condition: If Bitcoin is recognized as a safe-haven asset, its price movement should be similar to that of gold and treasury bonds because those two assets are considered safe assets by many. Therefore, if BTC and USD have a consistently strong correlation, then it may indicate that that Bitcoin is regarded as a safe asset in the coronavirus pandemic (same applies with gold).Below: 20 days rolling correlation data from Feb to Mar 2020. Bitcoin price correlation was cross-referenced with four assets: USD, S&P500, Treasury, and Gold, to answer the question of the day: is Bitcoin a safe-haven asset?
The Design Always Changes With over 20 years experience at the time I recognized the first obvious flaw; writing tests prior to coding is mindful of the old adage about no battle plan surviving contact with the enemy. However I always plan my work, starting with requirements and functional specifications, and I have turned down potential clients who didn’t want to take the time to do a design prior to coding. And since writing the tests when the work is completed or nearing completion will include all I have discovered during implementation, writing tests afterward makes much more sense. The old way is better • at code-complete write the tests and run them With this approach I write the tests after the odyssey of discovery, so the tests are only written to the final design, and are only revisited in response to Best-laid plans of mice and men, etc.
(e.g. a USB network adapter from Alfa) or an off-the-shelf software-defined radioSimply with freely-available software (e.g. Wireshark) and no additional hardware an attacker can connect to a network and promiscuously retrieve network packets from others (this is only sometimes prevented on switched networks)An attacker can deploy a dedicated, rogue Wi-Fi pineapple to actively intercept packets by broadcasting a new Wi-Fi network for the sole purpose of carrying out attacksBut According to Google’s own report (as of December 29, 2018):11–31% of all websites are visited without encryption (accessed over unencrypted HTTP)~7% of traffic to Google products is unencrypted (as high as 10% for some Google products)82.6% of this traffic sent to Google originates from mobile devices (makes me feel awkward to consider using a Google-developed OS ever again)That’s not insanely far off from the statistics recorded by my tool, especially considering the selection bias and also my unscientific observation that more people were drinking coffee and using mobile devices (just look at that 82.6% number, again!) (e.g. wireless adapter, Wireshark, Bettercap, etc.).First, to successfully carry out a phishing attack, an attacker could target some of the popular sites that are accessible over HTTP and not implementing HSTS properly, maybe also leveraging DNS requests since all are insecure (in a sense, captive portals used to work by carrying out DNS-forged MITM attacks every time they wanted to display their splash pages, and this is easily accomplished with DNS today since DNS has never been secured properly since).Our hypothetical attacker could, ideally, create a sense of urgency to get users to make more mistakes by hurrying (i.e. overlooking the long and slightly modified URL in the address bar). On public Wi-Fi networks, even today, an attacker can:See what sites you’re going to (simply by intercepting DNS requests)Carry out downgrade and MITM attacks through initial HTTP page loadsCircumvent HSTS by injecting fake future times via NTP (those HSTS policies do have expiration dates, ya