The design and specification of post-processors for numerical control programming

The object of study is the technological process of machining the workpiece parts such as «Fork». The aim of the work is to analyze the efficiency of using machine tools with manual control and machine tools with numerical control for machining workpieces of the «Fork» type of parts based on a comparison of technical and economic indicators. Comparison of two variants of technological processes of mechanical processing of the workpiece parts such as «Fork». One of them was built using hand-operated machines, the second – machine tools with numerical control. In the first variant, adopted according to the basic (factory) technological process, the processing is carried out on six machines, in the second (advanced) – on two. Cutting conditions and time norms (main, piece-calculation) for the basic variant of the technological process are taken in accordance with the factory operating cards according to the standards for hand-operated machines. For an improved version of the process, cutting conditions are taken according to regulatory data for numerically controlled machine tools and they are higher in value (feed, cutting speed, rotational speed), which reduced the cutting time, as well as the piece-calculation processing time. The reduction in the number of operations, the time for their execution, respectively, affected the technological cost of machining, which led to its decrease. Reducing the time of processing the surface of the workpiece parts such as «Fork» on machine tools with numerical control, reducing the number of machines has reduced the cost of electricity in this variant of the process. The calculation of the productivity of processing workpieces of the «Fork» type parts for the considered variants of technological processes was carried out, which confirmed the expediency of using machine tools with numerical program control (a twofold increase). Reducing the number of machines in the proposed version of the process to two units reduces the number of main workers (machine operators). Taking into account the value of the piece-time for two operations when using machines with numerical control of one model, they can be serviced by one worker. Reducing the number of machines to two can significantly reduce the cost of wages for machine operators, production area, production costs. These technical and economic indicators confirm the effectiveness of the use of the proposed variant of the technological process, built on the principle of concentration of operations on machines with numerical program control. The materials of the research can be used in real conditions of production, as well as in the educational process in the study of the discipline «Engineering Technology» and in the implementation of course projects, final works.

IDAMS is a prototype of a general purpose system for interactive data manipulation. The paper analyzes the requirements for an interactive pictorial data base system and shows that the known requirements for pictorial application can best be met by a general purpose system such as IDAMS. Major features of IDAMS are: the powerful high level data manipulation language. the datatypes of APL plus extensions for interactive data analysis. the convenient extensibility of the system by functions written in FORTRAN, PL/I or ASSEMBLY language. the interactive extensibility via APL, both within and in addition to the data manipulation language. the convenient access to special purpose hardware including image processing devices. The ease, with which the general purpose system can be adapted to a pictorial application, is contrasted with the problems and risks introduced by the development of a special purpose data base system for pictorial applications.KeywordsHigh Level LanguageAssembly LanguageCentral InterfaceData Base SystemIntegrate Data AnalysisThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

In the field of computer algebra, joining separate computer algebra systems with individual strengths into problem solving environments is an important recent research direction. In this paper we describe how we wrapped a specialized computer algebra system, which uses shared-memory parallelism to speed up Grobner basis computations, into a Web component that can be used by other systems. By this component also a new algorithmic development in Grobner basis computations – the use of the Fractal Grobner Walk – was made available to various general purpose computer algebra systems in the form of a single optimized implementation. Previously, all of the important algorithmic improvements to an algorithm had to be reimplemented in the general purpose systems. Our implementation allows access to the Grobner basis computations via ‘intelligent’ graphical user interfaces and via scripting from existing general purpose algebra systems. © 1998 John Wiley & Sons, Ltd.

Reconfigurable manufacture system is to list as one of key technologies which will first solve in the future manufacturing, this article will mainly solve research on theory of reconfigurable for NC machine tool. Reconfigurable machine tool has many merits that include modularization, integration, custom-made, convertibility and so on. That is the traditional machine tool cannot compare.This article has carried on the analysis from the deep hole components classification and the formed movement craft two aspects to the deep hole components race. The reconfigurable deep hole machine tool was to carry on the modular design based two aspects for the module partition and reconstructable analyze, solved the key technologies the machine tool modulation design. From the machine tool bed module, the head of machine tool module, the cutting tool auxiliary system and the numerical control system four aspects, to design and research on reconfigurable machine tool, solved the difficult design problem which the part reconfigurable designed. Finally uses the ultrasonic wave examination technology, has realized numerical control machine tool element level restructuring. (5 pages)

Developing a Universal Numeric Control Based-on Linux Real-Time Software

In the movie Matrix, our hero Neo must choose between taking the Blue Pill and continuing to live in an online, synthesized fantasy world, or taking the Red Pill and joining the real world. The fantasy world appears to those living in it to be full of flowers and trees and big steak dinners, but unknown to them contains malicious Agents who can alter any portion of the world to suit their needs. The real world, in turn, while real, has no visible sun, and the people have only gray mush for food.Authorization and authentication of online transactions across a network requires a trusted path between the user and the server. We posit that those who attempt to solve this problem by creating the trusted path on the general-purpose operating system have taken the Blue Pill and are living in a fantasy world. One simply cannot properly secure a general-purpose operating system.Solving the problem by taking the Red Pill and completely replacing currently used operating systems with ones that we can properly secure does not seem palatable. We suggest a solution that involves taking both the Blue Pill and the Red Pill: providing the trusted path by means of a separate device with a secure operating system, used in tandem with the existing general purpose operating system. Most user interaction occurs on the un-trusted system, with the secure device only being used to finalise transactions.We believe that the technology required for such a device is readily available. Obviously our idea is not a completely novel idea; prior work in the area has had a similar goal. However, most of those attempts have not properly addressed the requirements for the trusted system, generally preferring to use existing general-purpose systems even when on a dedicated [Balfanz 1999] [Kingpin 2001] Others have a very limited scope of use. [Blakely 2004].We identify a minimum set of requirements for the trusted device. This paper does not provide a working solution (it is a position paper after all); we simply define how one should approach that working solution. Because we advocate a hybrid system it is possible to simplify the trusted system to a point where it would not be usable as a general purpose system, which should make the trusted system rather easier to build and have confidence in.

The work is devoted to the issue of ensuring the accuracy of processing on machine tools with numerical control due to the correction of the temperature error. The construction of a system for correcting the temperature error of a tool using the automatic part measurement of device is considered.
 Analysis of various sources shows the method for correcting machining errors, caused by static and dynamic factors and based on the technology of automatic measurement of the part on the machine is considered in the literature. However, the issues of correction the temperature error using the technology of automatic measurement of tool parts in the open press are presented insufficiently for practical implementation. Therefore, this paper presents the developed methodology for the practical implementation of control algorithms for machine tool working elements that compensate its temperature error using automatic part measurement technology. The methodology contains seven main stages, covering four areas of work: experimental; mathematical program; measurement and preparation of control programs for machine tools with numerical program control. It is proved that the presented method allows developing an individual automated system for correcting the resulting temperature error for any machine. The most important areas for increasing the efficiency of such a system are to ensure the completeness of the experimental base and the accuracy of setting algorithms for correcting the temperature error of the machine.

When planning the design and operation of a manufacturing system in which numerically controlled (NC) machine tools are used to produce a variety of parts, a number of important factors must be taken into consideration. This paper addresses certain of these design and operational planning problems and develops a supporting optimization framework. A methodology is proposed for machining batches of parts on groups of machines in a way that accounts for machine loads and tool assignments. The models we develop consider the effects of variability and correlation of the demands among the parts. This is done so that the manufacturing system could accommodate wide fluctuations in demand without the machines suffering from significant over- and under-capacity utilization during the system's dynamic operation. The proposed approach is an integrative one, which recognizes the decisions that have to be made, the sequence in which they must be made, the computational complexity of the problem, and various operational constraints.

The standard procedures for the extraction of gravitational wave signals coming from coalescing binaries provided by the output signal of an interferometric antenna may require computing powers generally not available in a single computing center or laboratory. A way to overcome this problem consists in using the computing power available in different places as a single geographically distributed computing system. This solution is now effective within the GRID environment, that allows distributing the required computing effort for specific data analysis procedure among different sites according to the available computing power. Within this environment we developed a system prototype with application software for the experimental tests of a geographically distributed computing system for the analysis of gravitational wave signal from coalescing binary systems. The facility has been developed as a general purpose system that uses only standard hardware and software components, so that it can be easily upgraded and configured. In fact, it can be partially or totally configured as a GRID farm, as MOSIX farm or as MPI farm. All these three configurations may coexist since the facility can be split into configuration subsets. A full description of this farm is reported, together with the results of the performance tests and planned developments

AUTOMATED CONFIGURATION OF BACKPLANE-BASED MICROCOMPUTERS

It is well known that application specific computing systems, optimally designed and configured for a given workload, offer much higher energy-efficiency and throughput than general purpose systems. In modern computing systems, heterogeneous computing systems have emerged that exploit the energy and performance benefits of combining various different domain-specific processor architectures. Application domains such as high-performance computing and machine learning now process terabyte-sized data sets, requiring enormous processing and memory resources. These applications have very high-power consumption due to bottlenecks in the electrical interconnection between processing units. This project aims to reduce both communication energy and latency by integrating universally available accelerators with silicon photonics. It also aims to increase system throughput by exploiting emerging technologies in silicon photonic reconfigurable interconnects; this will allow the system to balance itself in real time to accommodate changes in workloads and data flows.

Numerous attacks on Internet of Things (IoT) devices have shown that security cannot be neglected, even when building devices with just a few kB of memory. While it is common sense to run regular software updates and use state-of-the-art security on embedded or general purpose systems, this is often not possible with IoT devices. While many of those devices have the facilities to perform over-the-air updates, their memory and processing capabilities limit the use of state-of-the-art cryptography. Additionally, these devices often lack the capabilities to secure the cryptographic keys, the foundation on which the device's security is built, which makes them even more vulnerable to attacks. In this work, we present a pattern that allows even constrained devices to utilize state-of-the-art cryptographic functions, providing the foundation for a secure Internet of Things. The identified pattern presents the following characteristics: (i) confidentiality, by offloading the cryptographic functions and key storage; (ii) authenticity, by signing messages with the securely stored key using hash as well as signature functions, often too complex for such constrained devices on their own; (iii) integrity, a key requirement for connected sensors. As an added benefit, a faster detection of corrupted or tampered updates can also increase the availability of the system. This pattern is primarily targeted at IoT device vendors, who wish to keep their devices secure, by implementing security in hardware.

McLeod : This tutorial surveys recent research in data abstraction and conceptual modelling in the database area. In particular, I will present recent results in the area of higher level data models, sometimes called semantic data models. The principal focus of database research has been on database management systems (DBMS's). A DBMS is a general purpose system which provides tools for logical structuring of formatted data, access interfaces, data control (protection and integrity) and efficient storage of and access to data. I would like to emphasize that results in database research, while applicable to tailored systems, e.g., an airline reservation system, are really of a general purpose nature.

In this paper we present our state-of-the-art automatic speech recognition system for Dutch that we made available on the web. The free, online disclosure of our software aims at allowing non-specialists to adopt ASR technology effortlessly. Access is possible via a standard web browser or as a web service in automated tools. We discuss the way the web application was built and focus on usability criteria - especially interoperability. To overcome user differences we provide input conversion and basic parameter selection. Extensions of the current system and a path to robust, general purpose ASR are suggested.

In modern computing platforms, power monitors (PwrMons) are employed to deliver online power estimates to support different runtime power-performance optimization methodologies. However, the possibility of setting up a successful side-channel attack by analyzing the power estimates imposes the use of a suitable and systematic approach in the design of such PwrMons. This article proposes a design methodology to automatically identify and implement side-channel-resistant PwrMons at the hardware level, for generic computing platforms. The methodology works by designing a PwrMon for which the switching activity of the signals used to compute the power estimates is not a function of both the secret key and the plaintext/ciphertext values processed by the computing platform. According to the most recent standardized methodologies to assess the side-channel security, our experimental validation leverages both correlation power analysis and <inline-formula> <tex-math notation="LaTeX">$t$ </tex-math></inline-formula>-test analysis considering a general purpose System on Chip executing different cryptographic primitives and an application-specific accelerator implementing the AES-128 algorithm. Our results confirm the impossibility of retrieving the secret key from the power estimates provided by our side-channel-resistant PwrMon. Considering several temporal resolutions, we highlight an accuracy error of the power estimates limited to less than 2.7&#x0025;, as well as an average area and power overheads for the protected PwrMons lower than 6&#x0025; and 5&#x0025;, respectively. To this end, the proposed methodology is able to deliver a side-channel-resistant PwrMon within state-of-the-art accuracy error and overheads.