The integrated data analysis and management system for pictorial applications

Integrated data analysis and management for the problem solving environment

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.

Interfacing Prolog and external data management systems causes problems as a result of the different semantics of Prolog and the data manipulation language, offered by the data management system. These problems arise especially when backtrackable predicates in Prolog for accessing externally stored data are provided. In this paper, the problems regarding these backtrackable predicates are identified. The predicates must be managed in coordination with updates and non-complete backtracking (occurrences of cut), by some interface between Prolog and the external data management system. The solution to the problems is given in terms of a communication module, which is able to handle the accesses to the external data management system, while preserving the semantic of the programming language Prolog.

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.

본 연구에서는 유역 수문자료를 효율적으로 관리할 수 있는 수문자료관리시스템(HDMS)을 개발하였으며 경기도 화성시에 위치한 발안시험유역을 대상으로 시스템의 적용성을 보여주었다. MySQL 5.0을 사용하여 관계형 데이테베이스를 설계하였으며, MS-Visual Basic 6.0을 이용하여 윈도우 기반의 시스템을 개발하였다. HDMS는 자료검색시스템, 자료관리시스템, 자료분석시스템으로 구성되었다. 자료검색시스템과 자료관리시스템은 자료검색, 자료저장, 자료갱신, 자료추출의 기능을 제공하며, 자료분석시스템은 저장된 자료로부터 다양한 수문통계정보를 제공하며, 자료의 정확성 및 품질을 분석하고 평가한다. In this paper, the Hydrologic Data Management System (HDMS) was developed for the efficient management of hydrologic data. The applicability of the system was demonstrated using the hydrologic data of study watershed located in the southwest from Suwon city MySQL 5.0, relational database management system, and MS Visual Basic 6.0 were used for the development of MS windows based HDMS. The primary components of the HDMS are data search system, data management system, and data analysis system. Data search and management systems provide basic functions for the efficient data search, storage, update and export. Data analysis system enables the users to get the further and diverse hydrologic statistical information from the stored data. Furthermore, the accuracy and quality of hydrologic data was analyzed and evaluated through data analysis system.

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

The paper describes the application of automatic program generation methodology in generating file conversion programs. The system, accepts as input descriptions of source and target files in a Data Description Language (DDL) and data manipulation specifications in a Data Manipulation Language (DML). It produces as an output a conversion program in PL/1 capable of converting the source file and producing the target file.

Clozapine, an antipsychotic used in the treatment of schizophrenia, is known for its serious side effects. In order to promote patient safety, drug-drug interaction (DDI) databases can be consulted by clinicians. In this study, the degree of consensus between five sources on DDIs with clozapine is determined. The summary of product characteristics of clozapine, Delphicare interaction database, Stockley's interaction checker, the Lexicomp interaction database, and the interaction database of Clinical Pharmacology are included. By comparing the original categories assigned to interactions with clozapine by the included DDI sources, a degree of consensus between sources is determined. Furthermore, based on the combined information, an evaluation on the severity of each potential interaction is made. One hundred eighty-three potential DDIs with clozapine are retrieved from the five included sources. A consensus between sources is found in 47.5% (n = 87) of DDIs. This study shows major discrepancies between five different sources on DDIs with clozapine. The potential impact of the use of one specific database on patient safety and prescribing behavior could prove to be problematic.

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.