【瘟神喜歡的人】Who Do Gods of Plague Fancy?
(English writing below)
愚痴和貪婪往往是厄運的起源。
災難臨頭時,我們有兩個選擇 - 累積善業,或繼續造惡業。
做善業積福積德,能加持你的運氣,貴人顯著,護佑你和你家人度過危機。
造惡業缺福缺德,自私地私藏過多的糧食和民生用品,而不留給他人,會結下很多的逆緣,將來必生禍端。
新加坡是塊福地。這次的瘟疫來勢洶洶,其嚴重性和當年的非典型相比,會有過之而無不及。
新加坡從2019年到2021年,會走三年的不好運,內外面對的壓力都很大,經濟表現欠佳。但以新加坡整體的國運來算,不會淪落到飢荒的程度,甚至後期會有貴人現身,幫助新加坡人民化險為夷。
唯一的是,這等待的過程會很漫長。我們要有耐心。
天運地運是這麼說,但人運這方面,就得請各位鄉親父老,勿因一時的衝動和心煩意亂,而攪亂了大局,最終殃及自己和家人。
大家得先明白,這瘟疫緣起於人類累世以來的貪欲而不知悔改。人心腐敗,導致惡因扎得很深,一旦結成惡果時,人類便無法三兩下就能控制這疫情。
有的人會覺得某國政府什麼都做不好,買賣野味的人是罪魁禍首,事實上,這是我們人類的共業。這些肉眼看到的現象只是表面,操控著這一切的無形力量,更是我們應該正視的。
每個瘟疫的後面,都是位帶著「天命」而降的瘟神。
我的客人們,請注意:
看八字時,我都會說明你們健康的弱點是哪些。請複習你們的筆記。
若你本身的八字與這類的病症「有緣」,就會比一般人更容易「中頭彩」。因此,別忘了使用我教過你們的方法來增強自己的免疫力和運程。
2019年年底請我看居家風水的客人,我都有幫你們解決了2020流年風水的不利。
有些客人我千交代萬交代,一定要關注某位家庭成員在今年鼠年的健康,及如何化解健康狀況的問題,尤其是得怪病方面。請大家務必要照著做,免得一失足成千古恨!
被病毒感染,也要講一種因緣。要不受「瘟神」的眷顧,你本身的光一定要很強。光氣越暗,瘟神越容易侵入你。
行善積德會產生福光,誠心地誦經咒唸佛號便有佛光。加上風水好,運程旺,那更是「臉上有光」。😂
可是如果你這樣去「搶超市」,過度的自私和貪婪,那只能落下個「黯然無光」了~
——————————
Ignorance and avarice are usually the origin of more bad happenings.
In a disaster, we always have two choices - to accumulate merits or form more negative karma.
Doing virtuous deeds accumulate blessedness and virtues for yourself. These will shower you with blessings and benefactors show up prominently to help tide you and your family through tough times.
Negative karma deducts our good fortune and virtues. Over-stocking on food and consumer products, leaving nothing for others, is selfishness. This will form many negative affinities, that will bring misfortunes upon yourself.
Singapore is a piece of blessed land. The Wuhan virus epidemic strikes us just as unexpectedly as SARS. However, its impact will be greater than SARS and there will be more diseases to come.
From 2019 to 2021, Singapore will have unfavourable annual luck. Internal and external pressures will be huge and the economy does not perform well. However, in the overall analysis of Singapore’s outlook, the Wuhan virus situation will not leave us in a famine. In fact, in the later stages, benefactors will appear to help us out of this.
Only thing is, it will be a long waiting time. We need to have patience.
In the cosmic trinity of Heaven, Earth and Human, this is what is stated in the Heaven and Earth luck aspects.
But when it comes to the Human luck aspect, my dear countrymen, this will call for you to remain calm. Please do not act out of rashness or fear and worsen the situation. This may bring more misfortune upon yourself and your family.
We need to first understand that this pandemic arose out of the unrepentant hearts of humans, who have been driven by greed. As the human conscience deteriorates, it has dug the seeds of evil causes deep into the soil. Now that the sins have yielded bitter fruits, it is not possible for humans to control this outbreak easily.
Some people may point their fingers at the government for bad crisis management or scold the buyers and sellers of wildlife for being the culprits of all these trouble.
Fact is, this is the common karma of us humans.
What our naked eyes see is only the tip of the iceberg.
What we should face up to is the invisible force behind that is puppeteering this global crisis.
Behind every epidemic is a God of Plague who descends into this world with a mandate of the Heaven.
To my dear clients, please take note:
During your Bazi consultation, I would have explained to you the weak areas in your health. Please revise your notes.
If your Bazi has “affinity” with such illnesses, then you will “strike the lottery” easier compared to most people. Hence do not forget to utilise the methods I have taught you to strengthen your immunity system and luck prospects.
For my clients who engaged me in the year end of 2019 and early 2020, I would have resolved the annual Feng Shui afflictions in your home for 2020.
There are some of you whom I have painstakingly reminded to watch over the health of some family members in this Rat Year. I have also taught you how to resolve the health situation, especially the part on contracting strange illnesses. Please heed my advice, so that you would not regret later!
It requires some affinity to be infected with a certain virus.
If you do not wish to be favoured by the Gods of Plague, your personal aura of light must be very strong. They have a liking for those with dim auras.
Performing virtuous deeds will generate the light aura of good fortune. Reciting the Buddha’s name, sutras or mantras piously will have the Buddha’s light shining upon oneself.
If you also have good home Feng Shui and are in a prosperous luck cycle, then your face will naturally glow with light. 😂
However, if you are going to sweep clean the supermarket shelves without sparing a thought for others, your greed and selfishness will only leave your future in a dismal state of darkness.
同時也有15部Youtube影片,追蹤數超過9萬的網紅Shiney,也在其Youtube影片中提到,The Well Boss – Spider Mastermind (บอสใหญ่) Doom is a first-person shooter video game developed by id Software and published by Bethesda Softworks. A...
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certain affinity 在 GamingDose Facebook 的最佳解答
เมื่อวานในช่วงค่ำ เราได้รายงานไปแล้วว่า BioShock ภาคใหม่นั้นกำลังอยู่ในระหว่างการพัฒนา และมันพัฒนากันมานานพอสมควรแล้ว แต่เป็นเพียงขั้นเริ่มต้นมาก ๆ
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#gamingdose #ข่าวเกม #bioshock
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【演講】2019/11/19 (二) @工四816 (智易空間),邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan) 演講「Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management」
IBM中心特別邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan)前來為我們演講,歡迎有興趣的老師與同學報名參加!
演講標題:Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management
演 講 者:Prof. Geoffrey Li與Prof. Li-Chun Wang
時 間:2019/11/19(二) 9:00 ~ 12:00
地 點:交大工程四館816 (智易空間)
活動報名網址:https://forms.gle/vUr3kYBDB2vvKtca6
報名方式:
費用:(費用含講義、午餐及茶水)
1.費用:(1) 校內學生免費,校外學生300元/人 (2) 業界人士與老師1500/人
2.人數:60人,依完成報名順序錄取(完成繳費者始完成報名程序)
※報名及繳費方式:
1.報名:請至報名網址填寫資料
2.繳費:
(1)親至交大工程四館813室完成繳費(前來繳費者請先致電)
(2)匯款資訊如下:
戶名: 曾紫玲(國泰世華銀行 竹科分行013)
帳號: 075506235774 (國泰世華銀行 竹科分行013)
匯款後請提供姓名、匯款時間以及匯款帳號後五碼以便對帳
※將於上課日發放課程繳費領據
聯絡方式:曾紫玲 Tel:03-5712121分機54599 Email:tzuling@nctu.edu.tw
Abstract:
1.Deep Learning based Wireless Resource Allocation
【Abstract】
Judicious resource allocation is critical to mitigating interference, improving network efficiency, and ultimately optimizing wireless network performance. The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve it to a certain level of optimality. However, as wireless networks become increasingly diverse and complex, such as high-mobility vehicular networks, the current design methodologies face significant challenges and thus call for rethinking of the traditional design philosophy. Meanwhile, deep learning represents a promising alternative due to its remarkable power to leverage data for problem solving. In this talk, I will present our research progress in deep learning based wireless resource allocation. Deep learning can help solve optimization problems for resource allocation or can be directly used for resource allocation. We will first present our research results in using deep learning to solve linear sum assignment problems (LSAP) and reduce the complexity of mixed integer non-linear programming (MINLP), and introduce graph embedding for wireless link scheduling. We will then discuss how to use deep reinforcement learning directly for wireless resource allocation with application in vehicular networks.
2.Deep Learning in Physical Layer Communications
【Abstract】
It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the conventional communication systems. In this talk, we present our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in the conventional communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures. For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems with the help of deep reinforcement learning (DRL) and generative adversarial net (GAN). At the end of the talk, we provide some potential research topics in the area.
3.Machine Learning Interference Management
【Abstract】
In this talk, we discuss how machine learning algorithms can address the performance issues of high-capacity ultra-dense small cells in an environment with dynamical traffic patterns and time-varying channel conditions. We introduce a bi adaptive self-organizing network (Bi-SON) to exploit the power of data-driven resource management in ultra-dense small cells (UDSC). On top of the Bi-SON framework, we further develop an affinity propagation unsupervised learning algorithm to improve energy efficiency and reduce interference of the operator deployed and the plug-and-play small cells, respectively. Finally, we discuss the opportunities and challenges of reinforcement learning and deep reinforcement learning (DRL) in more decentralized, ad-hoc, and autonomous modern networks, such as Internet of things (IoT), vehicle -to-vehicle networks, and unmanned aerial vehicle (UAV) networks.
Bio:
Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing and machine learning for wireless communications. In these areas, he has published around 500 referred journal and conference papers in addition to over 40 granted patents. His publications have cited by 37,000 times and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters almost every year since 2001. He has been an IEEE Fellow since 2006. He received 2010 IEEE ComSoc Stephen O. Rice Prize Paper Award, 2013 IEEE VTS James Evans Avant Garde Award, 2014 IEEE VTS Jack Neubauer Memorial Award, 2017 IEEE ComSoc Award for Advances in Communication, and 2017 IEEE SPS Donald G. Fink Overview Paper Award. He also won the 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.
Li-Chun Wang (M'96 -- SM'06 -- F'11) received Ph. D. degree from the Georgia Institute of Technology, Atlanta, in 1996. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. Currently, he is the Chair Professor of the Department of Electrical and Computer Engineering and the Director of Big Data Research Center of of National Chiao Tung University in Taiwan. Dr. Wang was elected to the IEEE Fellow in 2011 for his contributions to cellular architectures and radio resource management in wireless networks. He was the co-recipients of IEEE Communications Society Asia-Pacific Board Best Award (2015), Y. Z. Hsu Scientific Paper Award (2013), and IEEE Jack Neubauer Best Paper Award (1997). He won the Distinguished Research Award of Ministry of Science and Technology in Taiwan twice (2012 and 2016). He is currently the associate editor of IEEE Transaction on Cognitive Communications and Networks. His current research interests are in the areas of software-defined mobile networks, heterogeneous networks, and data-driven intelligent wireless communications. He holds 23 US patents, and have published over 300 journal and conference papers, and co-edited a book, “Key Technologies for 5G Wireless Systems,” (Cambridge University Press 2017).
certain affinity 在 Shiney Youtube 的精選貼文
The Well
Boss – Spider Mastermind (บอสใหญ่)
Doom is a first-person shooter video game developed by id Software and published by Bethesda Softworks. A reboot of the Doom franchise, it is the fourth title in the main series and the first major installment since Doom 3 in 2004. It was released worldwide on Microsoft Windows, PlayStation 4, and Xbox One on May 13, 2016 and is powered by id Tech 6.
Players take the role of an unnamed marine as he battles demonic forces from Hell that have been unleashed by the Union Aerospace Corporation on a future-set colonized planet Mars. The gameplay returns to a faster pace with more open-ended levels, closer to the first two games than the slower survival horror approach of Doom 3. It also features environment traversal, character upgrades, and the ability to perform executions known as "glory kills". The game also supports an online multiplayer component and a level editor known as "SnapMap", co-developed with Certain Affinity[a] and Escalation Studios respectively.
Doom was announced as Doom 4 in 2008, but underwent an extensive development cycle with different builds and designs before being restarted in 2011, and revealed as simply Doom in 2014. It was tested by customers who pre-ordered the Bethesda game Wolfenstein: The New Order, and also by the general public. Mick Gordon composed the music for the game, with additional music contributed by Ben F. Carney, Chris Hite, and Chad Mossholder.
Doom was well received by critics and players. The single-player campaign, graphics, and gameplay were praised, with reviewers crediting the game for recapturing the spirit of the classic Doom games and first-person shooters of the 1990s, whereas the multiplayer mode drew the most significant criticism. It was the second best-selling video game in North America and the UK a few weeks after its release, and sold over 500,000 copies for PCs within the same period.
certain affinity 在 Shiney Youtube 的最佳解答
Titan's Realm
Doom is a first-person shooter video game developed by id Software and published by Bethesda Softworks. A reboot of the Doom franchise, it is the fourth title in the main series and the first major installment since Doom 3 in 2004. It was released worldwide on Microsoft Windows, PlayStation 4, and Xbox One on May 13, 2016 and is powered by id Tech 6.
Players take the role of an unnamed marine as he battles demonic forces from Hell that have been unleashed by the Union Aerospace Corporation on a future-set colonized planet Mars. The gameplay returns to a faster pace with more open-ended levels, closer to the first two games than the slower survival horror approach of Doom 3. It also features environment traversal, character upgrades, and the ability to perform executions known as "glory kills". The game also supports an online multiplayer component and a level editor known as "SnapMap", co-developed with Certain Affinity[a] and Escalation Studios respectively.
Doom was announced as Doom 4 in 2008, but underwent an extensive development cycle with different builds and designs before being restarted in 2011, and revealed as simply Doom in 2014. It was tested by customers who pre-ordered the Bethesda game Wolfenstein: The New Order, and also by the general public. Mick Gordon composed the music for the game, with additional music contributed by Ben F. Carney, Chris Hite, and Chad Mossholder.
Doom was well received by critics and players. The single-player campaign, graphics, and gameplay were praised, with reviewers crediting the game for recapturing the spirit of the classic Doom games and first-person shooters of the 1990s, whereas the multiplayer mode drew the most significant criticism. It was the second best-selling video game in North America and the UK a few weeks after its release, and sold over 500,000 copies for PCs within the same period.
certain affinity 在 Shiney Youtube 的精選貼文
shoot it unit it dies
Lazarus labs
Boss – Cyber Demon
Doom is a first-person shooter video game developed by id Software and published by Bethesda Softworks. A reboot of the Doom franchise, it is the fourth title in the main series and the first major installment since Doom 3 in 2004. It was released worldwide on Microsoft Windows, PlayStation 4, and Xbox One on May 13, 2016 and is powered by id Tech 6.
Players take the role of an unnamed marine as he battles demonic forces from Hell that have been unleashed by the Union Aerospace Corporation on a future-set colonized planet Mars. The gameplay returns to a faster pace with more open-ended levels, closer to the first two games than the slower survival horror approach of Doom 3. It also features environment traversal, character upgrades, and the ability to perform executions known as "glory kills". The game also supports an online multiplayer component and a level editor known as "SnapMap", co-developed with Certain Affinity[a] and Escalation Studios respectively.
Doom was announced as Doom 4 in 2008, but underwent an extensive development cycle with different builds and designs before being restarted in 2011, and revealed as simply Doom in 2014. It was tested by customers who pre-ordered the Bethesda game Wolfenstein: The New Order, and also by the general public. Mick Gordon composed the music for the game, with additional music contributed by Ben F. Carney, Chris Hite, and Chad Mossholder.
Doom was well received by critics and players. The single-player campaign, graphics, and gameplay were praised, with reviewers crediting the game for recapturing the spirit of the classic Doom games and first-person shooters of the 1990s, whereas the multiplayer mode drew the most significant criticism. It was the second best-selling video game in North America and the UK a few weeks after its release, and sold over 500,000 copies for PCs within the same period.
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