Observation of volcanic gases with a simple alkaline filter paper method at Sakurajima Volcano in Kagoshima, Japan.
There are many active volcanoes in Kagoshima Prefecture, including Sakurajima Volcano. So, the volcanic disaster prevention is an urgent issue. Also, Hirabayashi of Tokyo Institute of Technology reported that the molar ratio of HCl/SO2 is large during periods of high HCl/SO2 and conversely small during periods of low HCl/SO2 , and that explosions increase one month after the molar ratio of HCl/SO2 increases during periods of no explosions. We decided to determine the composition ratio of volcanic gases (sulfur dioxide, hydrogen chloride, and hydrogen fluoride) emitted from Sakurajima crater in order to understand and predict volcanic activities. Th us, we established a simple collection method for volcanic gases using alkaline filter paper and a quantitative method using a self m ade absorbance photometer so that even high school students could perform the measurement at many points, and we discussed the data from various perspectives. Furthermore, since last year, we have found a correlation between the variation of Cl-/SO2 ratio and the number of eruptions at Sakurajima volcano. Also, a model for the behavior of volcanic gases was developed based on a comparison of the amount of volcanic ash and the number of eruptions.
On the Application of Inequalities Containing Sums of Minimum/Maximum of Numbers
Retail inventory management is a crucial part of many businesses due to the high profit associated with it as well as the uncertainty around it, especially for industries with short production cycles and a complex supply chain.Proper management ofretail inventories can lead to decreased inventory costs, prevent spoilage and obsoles- cence, and improve customer satisfaction, all of which lead to increased profits for the company.Inthispaper,wefirstproposeextendingawell-knowninequalityandtry to generalize it to other conditions and similar inequalities.The inequality involves multiple variables and how the maximum/minimum values of a subset of the numbers compare to the maximum/minimum values of the whole set of numbers.Our main contribution is applying such inequality in inventory management to help estimate the total cost of inventory management, which would allow us to determine the shutdown pointforaspecificcompanyusingthegeneralizationsoftheinequality.Lastly,weshow thatourestimatesarereasonableandproposesomefutureareaswheremoreworkcan be done.
心線相依 The Extensions of Euler Line
此題出處為 Crux Mathematicorum, Vol. 44(4), Apr 2018[1]。已知H為△ABC 的垂心,自A、B與C往對邊̅BC、̅CA與̅AB 作三高,得三垂足為 D、E 與F,從△ABC的三邊往外作矩形,使其寬與三邊上的高成比例,再將這三個矩形相臨的頂點連起來,形成三組三角形。證明這三個三角形的中線會三線共點。事實上這點就是外心。 我將原題延伸為四種建構方法,從△ABC 的三邊往外作平行四邊形,分別連三個外接三角形,考慮其中線、角平分線、中垂線與高,以及三角形的五心。分析三線共點的情形。 本研究最特別之處是在四種建構96種情形中,共有69種共點。其中有7 種情形,當任意點J 配上三中線共點於P時,此時J、重心G與P點三點共線,且̅JG :̅GP=2 :1。當任意點J與垂心重合時,三中線共點於外心,此時這條直線即歐拉線。另外有 11 種情形,當任意點J配上三中線共點於P時,此J、重心G與P點三點共線,且̅JG :̅GP=1: 2。當任意點J與外心重合時,三中線共點於垂心,此時這條直線即歐拉線。且當f1(J,m)=P1,f2 (J , m)=P2,此時P2、P1、重心G與J共線。最特別的是當J與外心重合時, P1 是九點圓的圓心。
Deciphering The Illusion: A Multi Faceted Algorithm in Deepfake Detection
AI (Artificial Intelligence) technology has developed very rapidly in recent years, to the point where it can make fake videos or photos called "deepfake''. According to Sumsub Identity Fraud Report 2023 just in the past year, in the APAC region the number of deepfakes has grown 1530%, in the philippines an astounding 4500% and in 馬來西亞 a 1000% increase, these numbers will continue to rise without a proper defense against them, With this rapidly developing technology, there are several threats from misuse deepfake, namely making fraud via video calls, fake videos to blame innocent people, and so on. Therefore, in this research project, an algorithm architecture will be created, namely a system and method used to detect "deepfake" images. The architecture of this algorithm involves convolution functions, neural networks, convolutional neural networks, data normalization functions, namely ReLu and SoftMax, and pooling. This architecture will then be trained over and over with 140,000 scrambled images, which then will make the architecture ready to be used. By researching and combining this algorithm architecture, a system is produced without a cost and with a final result of up to 90% accuracy and detection of 32 images faster than a human can blink.