OS kernels and other systemsoftware often use bi- nary search tree (BST) based data structures such as AVL trees, red-black trees, or splay trees. Choos- ing the right tree and node representation can impact the performance of code that uses these data struc- tures. Surprisingly, there has been little empirical study of the relationship between the algorithms used for managing BST-based data structures and perfor- mance characteristics in real systems [1, 2, 3]. This paper attempts to fill this gap by thoroughly analyz- ing the performance of 20 different variants of binary search trees under real and artificial workloads.
With embedded processor technology moving towards faster and smaller processors and systems on a chip, it becomes increasingly difficult to accurately evaluate real time performance. This research describes an evaluation method using an embedded architecture software emulator that models the Motorola M-CORE processor architecture. This emulator is used to evaluate and compare the real-time performance of a public- domain experimental Real-Time Operating System (RTOS) against a bare-bones multi-rate task scheduler. The results of the experiment, as shown in arrival time JITTER, response-time DELAY, and CPU BREAKDOWN figures, show the trade-offs between job load, job frequency, and kernel overhead. This research suggests full- systemsoftware emulation to be a valid method of evaluating embedded systems’ behavior and real-time performance.
The Contractor shall only tender for acceptance those items that conform to the requirements of this contract. The ordering activity reserves the right to inspect or test any software that has been tendered for acceptance. The ordering activity may require repair or replacement of nonconforming software at no increase in contract price. The ordering activity must exercise its postacceptance rights (1) within a reasonable time after the defect was discovered or should have been discovered; and (2) before any substantial change occurs in the condition of the software, unless the change is due to the defect in the software.
Abstract — Now-a-days auto billing system is widely used throughout the world. Its use is growing up day by day. There are different sectors which use auto billing system. Software on auto billing system of telephone exchange is the project work of this paper. It provides multi dimensional functions such as individual paper invoice for the subscriber, details paper invoice of all subscriber’s for office record, option of showing detail bill information such as charging rate, calling time, call duration etc. in printed form upon the subscriber’s query and more options. All the record will be stored on that software. So after long time anyone can check his billing status. Telephone bill was made depending on different calling rate, calling time, time duration using this software and all these had made in automatic way. We just need to give the required collected raw data. And this database would be connected with this software and an invoice will be made in automatic way. This software is user friendly & protected. It can be implemented to any kind of billing system after simple modification.
generated on one host and recognized anywhere on our network in about a millisecond, and thus satisfy most speed requirements for NSTX, although some real time operations, such as our Plasma Control System, require smaller latency. Event rates for this system were tested by generating them from one and from two different computers simultaneously (both connecting to a remote MDSip server). The system can process an event in ~5 ms. The performance of this system was largely independent of NSTX shot-processing activity. When events were generated at 5/s, none were missed by this system. At 10/s from one computer, none were missed, but at 10/s from two computers (5/s from each), ~0.1% of the events were missed about half of the time. As the frequency of event declaration increased, the percentage of missed events increased. At 10/s, ~0.2% were missed. At 1000/s ~1.5% were missed. These misses are not inherent in MDSplus events, because 6000 can be generated, from one or two servers, with no waiting between them (which takes 8.5 s and 12.75 s, respectively), and no events are missed by a simple program. Further work will be done to eliminate these misses (see below) .
From the outset, our goal with System 1 software has been to deliver a unified platform and user interface, providing you with a single window into the condition of every asset in your enterprise, regardless of whether online or offline data sources are used. To accomplish that, the software has grown from its initial support for manual route-based data collection instruments to include our online machinery protection systems such as 3500, 3300, and 1701; our Trendmaster* “sensor- bus” architecture for online intermittent condition monitoring on essential assets; various interfaces to process control and automation systems for importation/exportation of key parameters and statuses; manual data entry of notes, and links to
Now the inventory technologies on the base of LIDAR-devices (Light Detection and Ranging) are actively developed and implemented in the forestry branch. The laser scanning devices installed on the flying vehicles allow to determine with a high accuracy such characteristics of the forests as the height of trees, number and coordinates of trees, crown density, volume of biomass (Andersen et al., 2005). The range finders of high accuracy (up to 15 cm) are installed on the aircrafts flying around the sampling units. According to the obtained data (usually time is measured during which a laser impulse issued by the transmitter returns to the receiving device), the three-dimension model of the forest plot is built by means of the digital processing methods and then using the specialized software the above mentioned parameters are determined.
The problems that arise with large, complex software sys- tems include those of producing the code, managing a multi- person enterprise, testing the system, and assuring its in- tegrity with respect to various specifications and other de- sign documents. In many ways the most difficult problem involves maintenance, which includes fixing explicit bugs and, more importantly, upgrading the system to add new features or adapting the system for slightly different pur- poses. Some software systems, including those that control the space shuttle, nuclear power plants, and communication networks, have become so large and complex that no one person, or even a small set of people, understand them. This lack of a reliable knowledge source is exacerbated by people moving within an organization or leaving it altogether.
We presented an online reliability monitoring approach that takes advantage of static modeling and dynamic analysis to give continuous estimation of the system reliability. A proto- type implementation was experimented and preliminary results show the benefits brought by the combination of modeling and operational data usage. Experiments also highlighted the issues that need to be addressed in the future. In particular, we need to explore new solutions to reduce the number of false positives, hence to improve the accuracy, and to provide the system with the ability to automatically learn the violations that did not result in a failure, in order to differently evaluate them when they re-appear. Moreover, we plan to explore other architecture-based modeling approaches, such as Stochastic Petri Nets (SPN), to also consider concurrent systems. Finally, the effectiveness of the monitoring system would improve if the choice of the threshold value were done adaptively. The monitoring system should learn by itself and then adapt the threshold value based on the acquired experience. We aim to do this in the future, by combining the proposed approach with other online diagnosis mechanisms (e.g. ).
ABSTRACT: Biomedical Engineering is one of the main areas where in the image processing plays a wide role. Medical imaging and its processing is a topic of interest which helps for easier diagnosis and analysis of the medical issues. Detection of the areas affected is the basic step in the processing. In this work, Prewitt edge detection and Sobel edge detection of a Computed Tomography image of brain with tumour is considered. The process is carried out on Software and Hardware system for different sizes of the image and the time taken are analysed.
We evaluated the accuracy of the preprocessing steps and the task extraction algorithm using a benchmark of sentences and their corresponding task. We compared the relevance of the task-based auto-complete suggestions to the relevance of auto-complete. To evaluate whether the extracted tasks are meaningful to developers, we conducted an evaluation of the tasks extracted from the documentation of two projects with 10 professional software developers.