CYPHER MACHINES MAINTENANCE AND RESTORATION SPANNING SIXTY YEARS

We describe the life and times of a servicing mechanic for cypher equipment for the Royal Air Force during World War II and an opportunity to serve again as a cypher machine restorer for Bletchley Park Museum.     

EARLY WORK ON COMPUTERS AT BLETCHLEY

The head of the American contingent at Britain's Government Code and Cypher School (GC&;CS) at Bletchley during World War II tells how he got into cryptology and about his social and administrative experiences as commanding officer of the 6813 ^th Detachment.     

Captured Kriegsmarine Enigma Documents at Bletchley Park

Abstract

The discovery of intercepts in the Japanese “Orange Translations” regarding the sinking of merchant ships (marus) bearing allied POWs led to the conclusion that the Joint Intelligence Center Pacific Ocean Area (JICPOA) gave latitudes and longitudes of these vessels to the Commander, Submarine Force, Pacific (ComSubPac) knowing that POWs would be killed. An examination of the “Orange Translations” reveals that most of the intercepts are from the Japanese Water Transport Code (2468) system, not the “Maru Code” (JN-11). The author concludes that while JICPOA provided ComSubPac with convoy coordinates, they were unaware of the presence of POWs on the marus.     

KGDB:统一模型和语言的知识图谱数据库管理系统

知识图谱是人工智能的重要基石,其目前主要有RDF图和属性图两种数据模型,在这两种数据模型之上有数种查询语言,RDF图上的查询语言为SPARQL,属性图上的查询语言主要为Cypher.十年来,各个社区开发了分别针对RDF图和属性图的不同数据管理方法,不统一的数据模型和查询语言限制了知识图谱的更广应用.KGDB （Knowledge Graph Database）是统一模型和语言的知识图谱数据库管理系统：（1）以关系模型为基础,提出统一的存储方案,支持RDF图和属性图的高效存储,满足知识图谱数据存储和查询负载的需求;（2）使用基于特征集的聚类方法解决无类型三元组的存储问题;（3）实现了SPARQL和Cypher两种不同知识图谱查询语言的互操作性,使其能够操作同一个知识图谱.在真实数据集和合成数据集上进行的大量实验表明,KGDB与已有知识图谱数据库管理系统相比,不仅能够提供更加高效的存储管理,而且具有更高的查询效率.KGDB平均比gStore和Neo4j节省了30%的存储空间,基本图模式查询上的实验表明,在真实数据集上的查询速度普遍高于gStore和Neo4j,最快可提高2个数量级.     

基于Cypher 7108的嵌入式网络摄像机设计

提出了一种基于SoC的网络摄像机解决方案，给出了其软硬件设计方案，并使用WIS公司推出的Cypher7108SoC芯片实现了系统设计。重点介绍了软件设计，并给出了测试结果。     

NAVAL ENIGMA: SEAHORSE AND OTHER KRIEGSMARINE CIPHER BLUNDERS

Describes major weaknesses in a naval Enigma cipher codenamed Seahorse, and how it and similar naval Enigma ciphers were solved by US Navy codebreakers during WWII.     

KGDB: Knowledge Graph Database System with Unified Model and Query Language

Knowledge graph is an important cornerstone of artificial intelligence, which currently has two main data models: RDF graphs and property graphs. There are several query languages on these two data models, including SPARQL on RDF graphs and Cypher on property graphs. Over the last decade, various communities have developed different data management methods for RDF graphs and property graphs. Inconsistent data models and query languages hinder the wider application of knowledge graphs. In this paper, we propose a knowledge graphy database (KGDB) system with unified data model and query language. (1) We work out a unified storage scheme based on the relational model that supports the efficient storage of RDF graphs and property graphs, catering to the smooth storage and query of knowledge graph data. (2) The characteristic set-based clustering is used in KGDB for the storage of typeless entities. (3) It realizes the interoperability of SPARQL and Cypher by enabling them to operate on the same knowledge graph. Extensive experiments on real-world datasets and synthetic datasets reveal that KGDB is more efficient than existing knowledge graph database management systems in storage management and query efficiency. KGDB saves 30% of the storage space on average compared with gStore and Neo4j. In addition, KDGB is two orders of magnitude faster than gStore and Neo4j in the query of the real-world datasets, seen from experiments on the query of basic graph pattern matching.     

REVIEWS AND THINGS CRYPTOLOGIC

Abstract

This paper analyses the organization of the Government Code and Cypher School (GC &; CS) at Bletchley Park during the Second World War. The complexities and peculiarities of the organization are overviewed and a periodization provided. The main focus is on the pivotal 1942 reorganization, which is explained in terms of the changing scale of GC &; CS following the successful attack on the Enigma machine cipher, and in terms of organizational politics. The more minor 1944 reorganization is also described.     

ALAN TURING'S VISIT TO DAYTON

Recently declassified documents from the “Crane Collection” at the National Archives (USA) reveal much of the purpose of Alan Turing's visit to the United States during the Winter of 1942–1943. The “Bombe Correspondence” file contains Turing's “Visit To National Cash Register Corporation of Dayton, Ohio” and additional material which places this report and his earlier “Treatise on the Enigma” in the context of his role as consultant to the U. S. Navy Cryptanalytic Section (Op-20-G) on the design of the Navy Bombe and other related matters. The documents in this collection reveal a productive and decisive relationship between Turing and Op-20-G dating from the visit of the Sinkov mission to Bletchley Park in February 1941.     

云环境下图数据库建模技术及其应用研究

针对云环境下传统关系型数据库在大数据库建模方面存在的诸多问题,描述了一种全新的能适应云计算环境建模的图数据库,定义了图数据库模型的基本概念,给出了图数据库建模元素及组织形式,在关系型数据库概念模型建模理论及方法的基础上提出了图数据库建模的若干规则和方法。以图数据库Neo4j为例,详细描述了现代物料入库管理图数据库的建模过程,并应用Cypher语言实现该系统模型的增加、删除、更改、查询及统计功能。实践结果表明：利用图数据库建模技术构造的模型具有语义表达更丰富、更具简易性和可扩展性等优点,对开发基于图模型的智能管理信息系统能够提供一定的参考依据。