Abstract—The design of dependable software systems invari- ably comprises two main activities: (i) the design of depend- ability mechanisms, and (ii) the location of dependability mech- anisms. It has been shown that these activities are intrinsically difficult. In this paper we propose an automated wrapper-based methodology to circumvent the problems associated with the design and location of dependability mechanisms. To achieve this we replicate important variables so that they can be used as part of standard, efficient dependability mechanisms. These well-understood mechanisms are then deployed in all relevant locations. To validate the proposed methodology we apply it to three complex software systems, evaluating the dependability enhancement and execution overhead in each case. The results generated demonstrate that the system failure rate of a wrapped softwaresystem can be several orders of magnitude lower than that of an unwrapped equivalent.
Test shaft is coupled between the two motors with torque-meter (which measures both speed and torque) sensors on each side of the shaft, which correspondingly give the drive speed/torque and load speed/torque. The real time data like speed/torque of drive and load, status of emergency stops etc, are recorded using FPGA. Figure 1 shows the block diagram of system and it depicts an in-expensive PC basedAutomated Test System (ATS)  design.
The intervention is an electronic software tool installed in practice clinical systems. The tool identifies patients with AF who are eligible for anticoagulants based on re- cent guidelines (NICE TA249) , and are not cur- rently prescribed therapy. We have designed the tool to operate in the EMIS Web clinical system. The tool will identify eligibility by interrogating data held in patient medical records. The NICE TA249 eligibility criteria are operationalised using the relevant clinical codes (see Additional file 1). Given that some criteria defining eligi- bility (see below) may be poorly coded, the tool high- lights (through screen messages) patients with suspected relevant diagnoses (diabetes, heart failure, or hyperten- sion), based on other aspects of their medical record (detailed decision rules available from the authors). These must be addressed by the clinician, with the diag- nosis either confirmed or rejected, before proceeding. For instance, in current practice, most patients with known, symptomatic heart failure will be on the QOF Heart Failure register, a register that requires echocar- diographic evidence of reduced left ventricular ejection fraction or a diagnosis of heart failure by a cardiologist.
The State-based logging: in this logging type the start and the end time of each event that uniquely define a state are stored in the log file .This file type contains a set of interval records each one of them is characterized as ‘begin interval’, ‘end interval’, ‘continuation interval’ and ‘complete interval’. The enabled actions of consecutive states are compared and new GUI actions are preferred over the ones that were available in the previous state. That way after opening a drop-down menu it is probable that one of the actions of that menu is selected. If there are many evenly preferable actions, one is selected randomly.
This feature makes it more advantageous for instrument control over other programming languages. In order to enhance notification on fire emergencies to the corresponding personnel’s including fire departments and the owner of the premise, mobile phone connected to GSM network can be interfaced to the computer to send short text messages to them. In this paper, we report the design and fabrication of an automated computer based firefighting system. The system smoke or/and temperature beyond some set threshold levels thus switching on the respective sprinklers and sending 9 preset short text messages to target mobile phone(s).The controlling software for the system was designed using Labview which is the leading graphical tool for science engineering and development . Block diagram of the whole system is shown in figure1. It is compost of two main parts namely the software and hardware.
the areas except one field where there is still lack of technology. It is the agricultural practices and so far there is not that improvement of technology in this area. In this project we have proposed the idea of AGRIBOT. Agri-bot is an open source and scalable automated precision farming machine and software package designed from the ground up with today’s technologies. The entire system is numerically controlled and thus fully automated from the sowing of seeds to fertilizing. AgriBot takes a new approach at precision agriculture, tearing down everything from the past and starting from the ground up. . By simply placing the tooling equipment on a set of tracks, rather than a free driving tractor, the system has the ability to be extremely precise and reposition tooling in exact locations repeatedly over time. This is done with similar technology that has been around for decades in printers, manufacturing equipment, and more recently 3D printers and CNC milling machines.This system is user-friendly, improves efficiency and operator accuracy for agricultural practices by saving time and reduces human labour.
vi. Sixth Step: The resulting patterns were assessed and construed to attain the ultimate knowledge, which was applied to applications. The algorithm used is Content Based Image Retrieval (CBIR). The main objective of this algorithm is to put together the difference between the two images characterized in the form of two matrixes to produce the resultant matrix. Between the two input images, one image is the grey scale of the original image and the second one is the image gotten from the computation of the standard deviation of the input image. Segmentation and abstraction were then performed on the resultant image by the procedure of thresholding. It is a two-step procedure where image features are
A web-based application that is used for tracking sales, services, reports, leads, accounts maintenance online for automobile dealers. Better analysis of dealership profitability through retail sales, service and parts analysis. The features included E-mail, SMS alerts, reports, sales, purchase details, transactions, leads and products and parts ordering through E- mail. DMS Solution is designed for automotive industry and it fully supports all business processes of product dealers, workshops and service companies, used card traders, product importers, and spare part traders. It is a completely web-based solution so it does not require software to be installed on different branches. The scope of the project includes that what all future enhancements can be done in this system to make it more feasible to use: Databases for different products range and storage can be provided, multilingual support can be provided so that it can be understandable by the person of any language, More graphics can be added to make it more user- friendly and understandable, manage and backup versions of documents online.
The Gatekeeper implements an agent-based version of a credentials-based access control system . On receiving an ACL.REQUEST message from the Negotiation Host containing information on participant identity and credentials, it evaluates the admission rules to decide whether the participant should be admitted to negotiation. The Proposal Validator (Fig. 3) receives proposals (ACL.PROPOSE) from the Nego- tiation Host. It validates them against the negotiation template. If a proposal is valid, it forwards it to the Protocol Enforcer. Otherwise, it informs the submitter with an ACL.REJECT_PROPOSAL message. When the Protocol Enforcer receives a pro- posal from the Proposal Validator, it checks that the proposal satisfies the posting and improvement rules. It does this by invoking the Jess engine and accessing associated proposal data on the blackboard. If this succeeds, it declares the proposal valid and asserts it on the blackboard. The submitter is informed through an ACL.CONFIRM message with a proposal id. Otherwise it sends an ACL.REJECT_PROPOSAL mes- sage to the submitter. The Protocol Enforcer also processes withdrawal requests (ACL.REQUEST, where the payload is a proposal withdrawal referring to a valid proposal id), provided they satisfy the conditions of the withdrawal rules. The Nego- tiation Terminator regularly checks the termination rule to determine whether the negotiation should end. The termination rule is a Jess rule stating the conditions under which termination should occur (e.g. a time-out or following agreement formation). On negotiation termination, it notifies the Negotiation Host. At regular intervals or when a new proposal is posted on the locale, the Information Updater updates infor- mation on the blackboard appropriately. It may forward proposals to those partici- pants eligible to see them (according to the visibility rules) and/or send a digest of the current state of the negotiation (according to the display rules).
This paper presents a dynamic module identifier for testing of web application. A prototype of the system architecture along with the communicating signals has been described here. This multiple test controller based architecture is perfectly suitable for testing of web applications. The dynamic nature of the controller constantly monitors the changes within the web applications and tests its implications on the overall services of the web portal. Sometimes the changes in the tiers may require new test cases and test strategies. The dynamic master controller is well adaptive to those changes. It can quickly generate a new type of thin client or sub controller to adapt the change. The versatile nature of web application requires dynamic test suites and strategies. Different sub controllers can manage different types of information and code patterns. The concept is powerful and extendible. The controllers can be distributed among different tiers to reduce the message traffic. Although the master controller performs the major operations related to testing, the module/ unit testing overheads are mostly reduced due to the incorporation of sub controllers in pro functions.
Software inspection is an essential means of software quality assurance. This paper briefly presented the results of building a software inspection system from a re-make of the Fagan inspection process suitable for small to medium-sized software projects. The GUI-based visual inspection tool assisted in monitoring the development process through a systematic detection of any deviation from its pre-defined specifications when used for projects of its intended size. Overall responses from the evaluation showed that tool support significantly shortened the testing time, promoted team spirits in students and young entrepreneurs and completely eliminated corrective maintenance in addition to improving the developers’ skills as a result of the technical review and software inspection participation.
The low-cost technology of the forestry developed in the Syktyvkar State University named after Pitirim Sorokin is based upon the use of the unmanned aerial vehicles (UAVs) of a small size and the load bearing capacity up to 2 kg that does not allow to use the standard LIDAR-equipment for this purpose and therefore the flying vehicles are equipped with the high resolution cameras only. To increase the accuracy of the technology the ground LIDAR-device was created that can replace the applied traditional measurement devices such as ultrasound scanners, altimeters and calipers (Chufyrev, & Ustyugov, 2015). The device consists of a laser range finder, a GPS module to determine the absolute coordinates, a digital compass, a photo camera and a microcomputer to coordinate the device actions.
As a response, and inspired by well-established Artificial Intelligence techniques for problem solving, knowledge representation and knowledge acquisition [van Lamsweerde et al., 1991; Mylopoulos et al., 1992], new approaches were proposed around the concept of goals. A goal is a declarative statement of intent to be achieved by the system under consideration, formulated in terms of prescriptive assertions, covering different types of concerns — functional (representing services) or non-functional (representing qualities) — and different levels of abstraction — strategic (e.g., “optimize the use of resources”) or technical/tactical (e.g., “send e-mail notifications to meeting participants”). Goals can refer to the current system in operation or to a system-to-be under development. They can also help indicate what parts of a system are or should be automated when respon- sibility for their satisfaction is assigned to a software agent (creating a requirement for automation), a human agent (a requirement for manual performance) or the environment itself (a domain assumption) [van Lamsweerde, 2001; van Lamsweerde and Letier, 2002]. Goals provide several advantages when compared to previously used concepts, for in- stance: precise criteria for sufficient completeness of a requirements specification (with respect to stakeholder goals); the rationale of each single requirement, thus justifying their pertinence; increased readability when structuring complex requirements documents; as- sistance in exploring alternative system proposals and in conflict detection and resolution; etc. [van Lamsweerde, 2001]. Furthermore, they are characteristically more stable than the processes, organizational structures and operations of a system which continuously evolve (although goals may also evolve when needed) [Ant´ on, 1996]
Software requirements engineering is concerned with understanding and specifying the services and constraints of a given softwaresystem. It involves software requirements elicitation and specification . Elicitation of software requirements from stakeholders typically results in user requirements, which are natural language statements that describe the high-level goals of a given softwaresystem . Analysis of natural language user requirements is an important activity since imprecision in this stage causes errors in later stages. Imprecision  results not only due to syntax errors, but also due to the ambiguity of natural languages used to express the user requirements and the lack of consistency and/or completeness in the software requirements. Requirements imprecision is at least an order of magnitude more expensive to correct when undetected until late software engineering stages . Thus, focusing on improving the precision of the elicited user requirements in the first cycle is one of the ambitious aims of software engineering .
The most of the people having ration cards to buy the materials from the ration shops. The customers has to go the ration shop and ask employee to give the commodities and the amount he needs and the employee manually measure it and give to the customers . The existing method has two drawbacks, first one is weight of the material is weighed with the help of humans .and secondly, if not buy the materials at the end of the month, they will sale to others without any intimation to the government and customers. This leads to the corruption, selling the materials in black market and theft and the processing speed is low. This system is completely manual and hence the probability of misplacing the document is more and delay in notification . It is less secured and consumes more time .Because
Abstract:-The decision-making process was always conducted in all daily activities, both in the household or the company. In decision-making process, many criteria of assessment required as the basis. As the decision support systems progressed, the criterias and basics for assessing a performance are growing as well. The number of criteria and limited resources sometimes makes the decision- making process takes a long time. Therefore a solution is created by creating a Decision Support System to assist decision makers in doing their work. Currently there are many studies that raise cases about the system. The research aims to make Taxonomy on Decision Support Systembased on a collection of Decision Support System’s cases and classify it based on the tools used, the type of implementation and the methods that are used often. Keywords: - Taxonomy, Decision Support Systems, Technology, IT.
older technology that use barcode in ASRS was increased the productivity however by upgrading to RFID which make ASRS become greater efficiency and more facilitate. Groover (2007) acknowledged ASRS is a storage system that performs storage and retrieval operation with speed and accuracy under a defined degree of automation. ASRS consists of rack structure for storing loads and a storage/retrieval mechanism whose motions are linear (x-y-z motions). It also consists of one or more aisle that is each serviced by a storage/retrieval (S/R) machine (the S/R machines are sometimes referred to as cranes). The aisles have storage racks for holding the stored materials. The S/R machines are used to deliver materials to the storage racks and to retrieve materials from the racks. Each ASRS aisle has one or more input/output stations where materials are delivered into the storage system or moved out the system. The input/output stations are called pickup-and-deposit (P&D) stations in ASRS terminology.
In 1929, Dr. William F. Gericke of the University of California succeeded in growing tomato vines of 7.5 m height in nutrient solutions. He named this new production system “hydroponics” a word derived from Greek to reflect the importance of ‘Hydros’ (water) and ‘Ponos’ (working). Thus, hydroponics broke the laboratory bounds and entered the world of practical horticulture. The term hydroponics originally meant nutrient solution culture. However, crop growing in inert solid media using nutrient solution is also included in hydroponics in broad sense.
The majority of 3D printing for mandibular recon- struction is done with third party software [8, 9]. The cost of commercial software from KLS Martin Group or Synthes can range from $4000 - $15,000 per case compared to $100 - $200 per case using this in house software. In addition to cost, the workflow of commercial software is often not ideal. It may take several interactions and face-to-face meetings the com- pany to finalize a preoperative plan, making additional changes difficult and time consuming. Dupre-Bories et al. have also made an effort to create the own in house technology to overcome this inefficient. The group has shown a reduction of cutting guide delivery time from 21 to 5 days . In contrast, the technol- ogy described in this paper delivers a cutting guide in 2–3 days. The time gain stems from improved work- flow as well as increased automation in the guide creation process. This automation removes multiple steps in which the user has to interact with the software or a designer. In the future, this automation can allow for intraoperative changes to be made if unexpected changes, such as tumour progression, are encountered.
5 CONCLUSIONS AND OUTLOOK The results that were generated with the pre- sented software package show the close analogy of the simulation environment with the actual rotating multi-nozzle cleaning tool. The first optimisation ef- forts proved the strong potential for improving the overall homogeneity of the water-jet loading by rotat- ing heads, by correction of the geometric nozzle ar- rangement, and by superposing additional movements of the head itself.