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Japanese Fire Control Developments During the Pacific War

Friday, January 15, 2016 9:53:07 PM America/New_York

 

With the decision to stop building capital ship immediately before the beginning of the Pacific War, the development of a new type of fire control system suffered the same fate.[1] Fundamental revisions of the applied systems were considered unnecessary in view of the belief of individual superiority, which would decide the outcome of the multi-phased decisive fleet battle.

After the loss of the battleships Hiei and Kirishima in the Third Solomon Seabattle (12–15 October 1942) it was rumoured that the enemy used a new system capable of “seeing at night” and the loss of the destroyers Murasame and Minegumo in the night battle in the Kula Gulf (6 March 1943) transformed this supposition into certainty – the USN applied radar-controlled firing; the IJN had also lost this superiority despite its extensive pre-war night battle training. 

Basing upon studies of the Navy Gunnery School in 1943 #22 radar was reconstructed for fire control and mounted on the capital ships in 1944, partly under very unfavourable conditions.[2] The properties were no match for the advanced systems of the Allied forces, which utilised radar-controlled firing since 1942. Teaching about radar for range measurement and fire control (densoku shageki) was only taken up in the curriculum of the Navy Gunnery School at Yokosuka in February 1945.

Aircraft had already proven itself to be a true enemy of capital ships in the European War and this experience was repeated at the beginning of the Pacific War. The lack of effective AA weapons even required the use of the main guns of the capital ships. The introduction of the particularly designed Type 3 incendiary shrapnel shell (shōsandan), besides of the use of the Type 0 common shell, required the addition of components to the low-angle fire control system of the battleships – solely designed for ship vs. ship gun battles – to enable AA firing. However, it was only an emergency measure of limited value and the destruction of the remaining capital ships in naval ports by carrier-based aircraft, suffering very small losses, in March and July 1945 proved the inability of defense against air attacks and repeated the examples of Musashi and Yamato from October 1944 and April 1945, respectively. 

The limited value of an emergency measure in combination with other defects was also shown in the first practical application of radar for fire control by the Kurita force in the Battle of Samar (one of the four sequences of the Battle for Leyte Gulf) on 25 October 1944. The fight against the escort aircraft carriers (CVEs), running away evasively, defended by their own aircraft and escort ships (destroyers and destroyer escorts) and covered by smoke screens and squalls, ended with a disappointing result. Of course, tactical blunder was one cause, but the hitting rate was very small (about 2.8%) despite “excellently grouped salvos”[3] and may be considered almost unavoidable in view of the considerable technical backwardness and lack of practical training.[4]



[1] In the Japanese sources no hint could be found indicating the design of a new system or components. This also appears unlikely in view of the just developed and produced Type 98 fire control system for the battleships of the Yamato class. 

[2] Technicians had to advance to Tawi Tawi to install the equipment and give instructions. Applied research and firing practice of the fleet were almost non-existent and the real practical value of radar-controlled firing was sometimes doubted. Time was lacking for the training of operators and radar officers and everything had an emergency and tentative character.     

[3] The US Naval Technical Mission to Japan, Report O-31 “Japanese Surface and General Fire Control”, p. 1. However, this feature was not caused by the radar-controlled firing but was the result of the Type 98 firing time retarding device (98 shiki happō chien sōchi), for minimising dispersion (viz. enclosure). 

[4] Firing over smoke screens on ships hiding behind it had been experimented by the Navy Gunnery School in 1931. Two years later experimental firing with the main guns of the capital ships over smoke screens was executed but it was seldom trained after that and may have been almost forgotten by the “Hashirajima fleet”.  

Posted By Fred Zimmerman

the mysterious Polish human torpedoes of WWII

Friday, January 8, 2016 8:43:03 PM America/New_York

From COVERT SHORES:

The smaller countries in Europe had a lot to fear from German expansion. Austria and Czechoslovakia fell like dominos. Poland correctly suspected that it was next, but unlike the others it was determined not to go down without a fight. In May 1939 a special unit was formed by the Polish Navy to operate as “living torpedoes” (Żywe torpedy). The Polish Army also formed such units, using the same terms although their missions were clearly land-based sabotage. Emotional appeals were published in newspapers encouraging Poles to join up, although they did not known what they were signing up for. From the start it was literally a suicide unit where the volunteers would lay down their life to protect Poland from the Germans. Due to the course of the war virtually no records of any actual human torpedo craft remain, and it is open to question whether any such craft actually existed, although witnesses who volunteered describe being shown films of some sort of torpedo devise ridden by a crewperson. The arrangement was something like a one-man Mignatta, but presumably with an impact fuse. Post-war illustrations of it tend to show very large wings in the middle of the torpedo and the crewperson is shown wearing breathing apparatus for underwater operation although these details are open to question. Whatever the reality of these units and their equipment, they were not ready in time to make a material difference in the outcome of the German invasion of Poland. On 1st September 1939 the German military unleashed its Blitzkrieg on Poland, and within weeks the country had fallen. Britain and France had signed a defense pact with Poland and declared war on Germany so World War 2 had begun.

Zywe Torpedy.

Posted By Fred Zimmerman

China-Japan Naval Arms Race: 140 years ago

Thursday, January 7, 2016 11:24:09 AM America/New_York

From the forthcoming volume I of CAPITAL SHIPS OF THE IMPERIAL JAPANESE NAVY 1868-1945 by Hans Lengerer and Lars Ahlberg, ARMORCLAD FUSŌ TO KONGŌ CLASS BATTLE CRUISERS, this interesting look at an earlier naval arms race in the South China Sea.

In the middle of the 1870s the Chinese Ch’ing (nowadays written Qing) dynasty established a sea defense fund by using 20% of the 40% “remissions from the maritime customs receipts” because Peking (Beijing) had become worried about the Japanese Taiwan (Formosa) expedition and the expansion tendency of this neighbour. The larger part of this money was given to the energetic Li Hung-chang (Li Hongzhang), who was concurrently Peiyang (Beiyang) commissioner and Viceroy of the Chili (Zhili) province and in these capacities responsible for the defense of North China (geographically nearest to Kyūshū and judged as the most probable area for the landing of Japanese forces) and the Northern Fleet was in fact under his command. He intended to unite and concentrate all the local fleets and planned an expansion with three to four capital ships at its centre and many more belonging to other smaller types. After the order of (in total) eleven Rendel gunboats (the “Greek alphabetic”) and two Rendel cruisers (Chao Yung [Chaoyong] and Yang Wei [Yangwei]) Britain, fearing diplomatic troubles with Russia, did not want to sell much larger warships to China and Li Hung-chang turned his ear to the German custom commissioner at Tientsin (Tianjin), Gustav Detring. On 8 January 1881 the official contract of the construction of an armorclad of improved Sachsen class was concluded between the representatives of Li Hung-chang and Vulcan yard Stettin. One year later the contract for the sister and some smaller ships followed. Of course, Japan was well aware of the truly tremendous reinforcement of the Chinese navy. At the time of the “Insurrection in the Year of the Horse” (Jingo Gunran) in July 1882 the large armorclad Ting Yuen (Dingyuan) had already been launched and Chen Yuen (Zhenyuan) was on the slips. This meant that the Chinese Navy could expect to have these formidable ships in hands in the next two years while the IJN’s expansion planning of 1881 had been rejected.

 In short and somewhat simplified we may conclude that the Japanese Expedition to Taiwan in 1874 (and the Korean adventure in 1875–76) set in motion a naval armament race between China and Japan whose intensity was seriously intensified by the Jingo Gunran on the side of the Japanese, while the Chinese ambitious programme broke down due to the irresponsible acts of the Empress Dowager.

Sachsen class armorclad (Wikipedia)

Posted By Fred Zimmerman

Introducing COVERT SHORES

Saturday, January 2, 2016 12:29:11 PM America/New_York

Coming from Nimble Books in Feburary 2017: COVERT SHORES: THE STORY OF NAVAL SPECIAL FORCES MISSIONS AND MINISUBS  by H.I. Sutton.  Here is the first in a series of mini-excerpts.

A young man gazed blankly at the display of maritime artifacts arranged on the wall. There was only one item in the entire museum that held any hope of capturing the imagination of this particular teenager: Juxtaposed among the myriad of local maritime artifacts was a Swimmer Delivery Vehicle (SDV) which had once been used by Special Forces divers. At the time he did not appreciate how rare and misunderstood the contraption gathering dust in front of him was. It was not a vehicle you can find out about on the internet or in books. It is as if it were forgotten by history. That young man was me.

The needs of the world’s Special Forces have produced a vast array of SDVs and other “sneak craft” to provide a means to conduct infiltration, reconnaissance and sabotage missions. It is an unfortunate byproduct of the secrecy surrounding these ingenious contraptions that so little is shared about them, even years after their service. This book aims to tell that story and record their legacy.

To be notified when it is available for purchase, "like" the Nimble Books facebook page.

Posted By Fred Zimmerman

PageKicker is "Amazeballs"

Sunday, August 9, 2015 11:56:56 PM America/New_York

Happy PageKicker customer: "This was the first time I took PageKicker for a whirl. I didn't feed it much info at all but I like what Fast Heinz made for me. I'm still trying to process the implications of what you've built. It feels like amazeballs!"

Posted By Fred Zimmerman

Founder Fred Zimmerman on Cybersecurity

Sunday, August 9, 2015 8:46:06 PM America/New_York

Founder Fred Zimmerman recently published a white paper on applying digital cartography to the precursors of cybercrime drawing on work done prior to going to full time on PageKicker.  

Posted By Fred Zimmerman

Applying Cartography to Cybercrime

Sunday, August 9, 2015 7:58:43 PM America/New_York

[This is a paper I wrote last year about cybersecurity.  I've been wanting to scratch this itch, and that's part of why I signed up Michael Tanji for 

Computer Security Is Dead

. --Fred]

Cybercartography” – Applying Global Mapping Techniques to Understanding Cybercrime

Cybercrime in all its dimensions, including its relationship with nation-states, enterprises, transnational organized crime, and privacy rights, has become an increasingly serious problem in recent years. The high priority of responding effectively to cybercrime has been reaffirmed by numerous governmental, business, and citizen statements. (Obama, 2015)

Many sound techniques to prevent and mitigate harm from cybercrime have been recommended by responsible organizations such as the Open Web Application Security Project (OWASP) and the US Computer Emergency Response Team (US-CERT), as well as software companies and open source organizations, and efforts to improve cybersecurity are ongoing through the world. Yet gaps and vulnerabilities persist. Concern is high: Admiral Michael Rogers, commander of the U.S. Cyber Command and National Security Agency director, told the House Permanent Select Committee on Intelligence on Nov. 202014 that the failure to respond would lead to infrastructure attacks that are "truly destructive." (Permanent House Select Committee on Intelligence, 2014)This has resulted in demand for novel methods (Intelligence Advanced Research Projects Agency, 2015)

Cybercartography

This paper presents suggestions for an exploratory approach to understanding cybercrime that we call “cybercartography” using a set of tools that have not been frequently applied to this domain. We refer to 1) fifty-plus years of experience by scientists and governments in integrating socioeconomic and political data organized by administrative boundaries with satellite raster and global gridded global data sets 2) gridded global models 3) global event data sets 4) centuries of experience with the art and science of cartography. To make this less abstract, consider the broad generalization that most current generation cyberthreat maps involve lots of blinking dots and network graphs superimposed over an outline or “blue marble” view of the world. Then compare some of the cartographic techniques that are often used to map other knowledge domains—for example, National Geographic-style cartography, high-resolution administrative boundary maps produced using the US census, and gridded global data sets. A deeper level of insight into the world of cybercrime can be gained in combining the standard cyberthreat network analyses with place-specific variables which can lead to greater insights into who the cybercriminals are, what makes a particular region fertile ground for these activities, why some regions are less susceptible to developing cybercriminals, and where new criminal activities are likely to spring-up and flourish. These different approaches are not superior to one another, but they can be complementary.

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

Posted in About PageKicker By Fred Zimmerman

Like Game of Thrones but with Trained Poodles

Thursday, August 6, 2015 2:32:09 PM America/New_York

 

This great quip from Bloom County sums up a lot of what's been going on with the 2016 GOP Presidential campaign.  

 

A quick example of what PageKicker can do.   The first Presidential debate is tonight so I want to know more about this motley crew.

I fed the Add to Catalog form the names of the 17 Republican and 15 Democratic declared or potential candidates for President.  The system parsed those names, searched permissioned content, fetched it, analyzed it, assembled it, added the books to the PageKicker catalog, and made them ready for distribution -- all in a matter of seconds at a cost of pennies.

GOP Presidential Candidates 2016

Democratic Candidates 2016 book

Democratic Presidential Candidates 2016

2016 GOP Candidates

 

The ToC of the book on the Republican candidates illustrates the strengths and weaknesses of PageKicker as it currently stands. Note first that this is a properly formatted book with all the parts of a book. Note next that it covers a wide range of topics and is 96,000 words (approximately 240 printed pages by one rule of thumb).

GOP Candidate Book Cover

There is no single book on any online bookstore, or single article anywhere on the web, pulls together so much disparate information about such a wide field of candidates.    To match this assemblage of information, you'd have to search and click on hundreds of web pages, or spend a hell of a lot of money on Kindle purchases of THE BOBBY JINDAL STORY or whatever.  Is the book perfect? No.  But is it useful and fully competitive with the alternatives? Hell yes.  Try it out.

Posted in About PageKicker By Fred Zimmerman

The PDF White Paper Must Die

Wednesday, July 29, 2015 3:47:38 PM America/New_York

I must have downloaded a hundred PDF white papers in the last year. I love tech and I love to read. But just about everyone of those white papers has been in PDF, and that's just the wrong format: wrong, wrong, wrong. I want those documents on my Kindle, or my Nexus 7, or my iPhone, and I just can't get them there. PDFs don't display in 100% size on all but the largest desktop monitors, to say nothing of tablets and smart phones. Even at full size display, fonts are often small, chosen for display on glossy, heavy weight bound brochure paper rather than screen or standard printer paper. Font display issues are common, especially with documents from different languages.

On desktop or mobile screens, the user is reduced to reading page slices and awkwardly tabbing back and forth between partial pages.  As a result, user research by PDF-oriented professional publishing companies has repeatedly observed that customers often deal with PDFs in a "download and print" cycle.  Unfortunately, the download and print cycle uses bandwidth, kills trees, is prone to moments of intense frustration caused by "paper out", "ink low" and "paper jam" errors, and breaks down entirely over 15-20 pages, where printouts simply become too unwieldy to manage and produce thick sheafs of poorly collated printer paper that are too thick for a standard stapler and page flips are a pain with a binder clip attached. 

By definition, PDF is a fixed final expression of the page layout of a document. Because PDF is fixed and final, the document is static. It cannot be updated without the document being replaced (although there are advanced Adobe features that allow some interactivity, they are not generally relevant in the context of white papers). PDFs are also unaware of customer intent and profile. They are the same for everyone who views them. That is a good thing for printing presses, but it can be a bad thing for knowledge workers. Because the spec is about page layout, PDF is more about the geometric properties of vectors and images rather than about the semantic structure of the document (which is reverse engineered into PDFs by what are usually sparsely populated metadata fields). And, for the cherry on the cake, PDF is a primary vector for "phishing", which remains one of the most popular and effective hacking techniques. It's hassles all the way down.

A Google search on ["white papers"|"white paper"] filetype:pdf] found 24,600,000 documents, and when ["research brief"|"research report"] were added, the total soared to 507,000,000. The true number of marketing collateral documents in PDF must be in the hundreds of millions. These documents play a critical role in the enterprise sales cycle, framing the context and explaining the issues to key influencers. If we take Google Cost Per Action (CPA) data as a guide, each download of a document probably has an imputed value to the provider of $1 - $40 (Wordstream). So why are enterprises relying so heavily on an inherently compromised tool for this vital mission?

PDF does have some important strengths. It is easy and free to use, and many Readers are available both integrated with the leading browsers and as standalone programs. It looks good, and can display the most advanced typography and graphic design. It is convenient for most knowledge workers: almost all office productivity tools can generate PDF outputs. And it is convenient for print publication because it is a print layout format.  If the most important destination for a document is print, it's easy and low cost to spin off a PDF for digital delivery. But these days, it's rare that the most important destination for a document is print. In fact, most enterprises would kill to get their marketing collateral onto mobile devices that are in the hands of key influencers. There are now more mobile devices than desktop PCs and people spend more time interacting with their mobile devices than with the desktop (KPCB Internet Report 2015).

The right answer is to deliver white papers to customers in an inherently mobile-friendly, customized way. Ideally, white papers should be modular, easily updated, interactive, and highly customized to implicit and explicit cues about customer intent and situation.  It should be possible to order them from anywhere (not just the corporate website) and for them to be updated on either pull or push demand. And they should look good, in whatever format is most convenient for the reader.  None of this applies to the current state of affairs.

Eventually, the PDF white paper is going to diminish significantly in importance. It will never go away, it is too ingrained and has too many real advantages, but it is also clearly flawed. As those of us old enough to remember the Cold War or the Confederate flag flying over state capitals know in our bones, if something looks wrong and unsustainable, it is wrong and unsustainable, and it's not going to be around forever.   It's time for the PDF white paper to die.

The good news? PageKicker has a solution.  Drop me a note at fred at PageKicker doht com if you would like to arrange a demo.

Posted By Fred Zimmerman

Our Team

Monday, June 1, 2015 5:51:41 PM America/New_York

Fred Zimmerman is founder and CEO.  He has decades of experience in professional and science publishing, information technology, and the intelligence community.

  • LinkedIn: https://www.linkedin.com/in/wfzimmerman
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Posted in About PageKicker By Fred Zimmerman

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