The aim of this system is to overcome the lacking of the manual system. All branches of the Bank situated at District level provide the Banking services to customers and had to send report to the central branch manually, which sometimes create problem to get up-to-date information rapidly. But now through this system whenever any transaction will be taking place it will store in the central database and authorized person can get necessary information or report when they get into the system from any branches through Wide Area Network (WAN). Routers are generally known as intermediate systems, which operates at the network layer of the OSI reference model, routers are devices used to connect two or more networks (IP networks) or a LAN to the Internet. A router acts as a packet filter when it forwards or denies packets according to filtering rules. As a Layer 3 device, a packet-filtering router uses rules to determine whether to permit or deny traffic based on source and destination IP addresses, source port and destination port, and the protocol of the packet. These rules are defined using access control lists or ACLs. Bankingsystem in Bangladesh all banks has an IT department. IT department solution all type of IT problem and serve the core network. IT creates a core network diagram. This diagram involves all type of useable network mechanism (Switch, Router, Firewall, Server) etc. Simulation is the most important of any system. An accurate systemdesign, accurate performance and accurate Simulation give best performance of a system. Now we discuss and simulate the OSPF protocol. Open Shortest Path First (OSPF) is a routing protocol developed for Internet Protocol (IP) networks by the interior gateway protocol (IGP) working group of the Internet Engineering Task Force (IETF)
The DSTATCOM consists of a three-phase pulse width modulated (PWM) voltage-source converter (VSC) using six insulated-gate bipolar transistors (IGBTs), three interface inductors, and one dc capacitor. The DSTATCOM injects currents into the point of common coupling in such a way so as to maintain balancing and harmonic elimination in the source currents. The VSI operation is supported by the dc storage capacitor with voltage across it.
The CDTN is in a process of adopting ISO (International Organization for Standardization) standards in their laboratories to show reliability in the results . According to the ISO 9000 standard, an institution must meet certain requirements to be certified. These include: measuring and monitoring processes to ensure the quality of the product / service through performance indica- tors and deviations; implement and maintain adequate and necessary records to ensure process traceability and systematic reviews of processes and the quality system to ensure their effectiveness. A graphic simulator that uses virtual instruments (VI) is under development in the CDTN re- search institute. It will meet the demand of operators and graduation and post-graduation students in the operational understanding of a nuclear reactor. In this article the project of the Triga IPR-R1 reactor simulator will be presented.
Azadeh et al. forecasted electrical consumption by the integration of a neural network, a time series and ANOVA . They found that ANN had better estimated values for total electricity consumption. Azadeh et al. developed an integrated artificial neural networkand genetic algorithm framework to predict electrical energy consumption . Azadeh and Tarverdian proposed an integrated approach based on genetic algorithm, computer simulationanddesignof experiments for forecasting electrical energy consumption . Azadeh et al. presented an integrated fuzzy system, data mining and a time series framework to estimate and predict electricity demand for seasonal and monthly changes in electricity consumption in developing countries such as China and Iran . Azadeh et al. (2008b) employed an artificial neural network (ANN) approach for annual electricity consumption in high energy consumption industrial sectors . Azadeh et al. developed an integrated algorithm for forecasting monthly electrical energy consumption based on an artificial neural network (ANN), computer simulationand a designof experiments using stochastic procedures . Azadeh et al. (2009) proposed a new hybrid ANFIS computer simulation for improvement of electricity consumption estimation . Yoo et al. estimated households’ demand function for natural gas by applying a sample selection model using data from a survey of households in Seoul .
Daily discharge data for all of Canada are maintained and archived by the Water Survey of Canada. In this study, only stations with continuous daily discharge records were se- lected, and geographic range was constrained to stations on rivers originating in the Coast Mountains (Fig. 2). We re- stricted the station search to select only natural drainages, omitting rivers regulated by dams or other structures. We ad- ditionally screened for record completeness, requiring each station to have more than 80 % of the possible daily values. The longest daily record dates back to 1903, but the total number of stations in the database steadily increases with time over the 100+ years. Therefore, to maximize the num- ber of stations in the analysis, the period 2000–2009 was se- lected because it contained the highest number of active sta- tions. This choice involves a trade-off. A 10-year record is in- sufficient to analyze climatic effects. For example, El Niño– Southern Oscillation, the Pacific Decadal Oscillation, and the Arctic Oscillation impact the hydrology of the Coast Range in British Columbia (BC) and Yukon, and some of those ef- fects differ between regime types (Fleming et al., 2006, 2007; Whitfield et al., 2010). Likewise, longer-term climatic trends may affect different hydrologic regime types within the re- gion in different ways or, eventually, lead to regime transi- tions from one type to another (Whitfield et al., 2002; Flem- ing and Clarke, 2003; Stahl and Moore, 2006; Schnorbus et al., 2014). Thus, distinctions between the lower-frequency hydroclimatic dynamics of different stations seem unlikely to be fully captured by the present analysis. The reward gained in exchange for this sacrifice is maximization of the num- ber of stream gauges incorporated into the analysis. As the density of stream gauges is extremely sparse through much of our study area (e.g., Whitfield and Spence, 2011; Mor- rison et al., 2012), and analysis of climatic effects is merely one of the many uses of hydrologic monitoring networks (see Sect. 1), our choice is reasonable for our current purposes.
In order to study the capacity of the urban drainage network, a SWMM model was built (Figure 2). The network information includes the layout of the network, the location of the inlets, the location and depth of the manholes, the pipe length and the diameter and material of the pipes. The catchment has 46 hectares and was divided in sub-catchments considering the network inlets, the ground elevation and the rainwater discharge from buildings. Most of the surface is impervious and the average slope of the sub-catchments is between 0% and 22.5%. Wastewater has not been taken into account in this study, since during the periods of great rainfall intensities its contribution is insignificant. Thus, the hydraulic performance of the drainage network is related to the Intensity, Duration and Frequency of the rainfall events (IDF curves), and to the physiographic characteristics of each sub-catchments. The Alternate Blocks method was used to define the design hyetographs .
Figure 3 shows the fit results for each of the six experiments. For these datasets, we observed that parameter values generally converged within 1000 iterations (See Supporting Information S1). As can be seen, the simulation curves closely fit the experimental data, suggesting that the models accurately describe the PE remodeling system. As a control, we repeated the inference procedure on nonsense data generated by permuting labels on the PE species. For the label-permuted data, we saw that fits were systematically worse. Examples of fits for label-permuted data are shown in Figure 4 for the 18:3-18:3 and 14:0-14:0 precursor experiments. We also observed that the inferred parameters displayed much larger variation across iterations in these cases than for the real data (Supporting Information S1). More generally, for each experiment except the 18:0-18:1 precursor experiment we performed random label permuting of the data 100 times and compared the quality of the fit to that found for the real data. The 18:0-18:1 precursor experiment was not used because the original data contains only 2 lipid species. For three of the experiments (14:0-14:0, 14:1-14:1, 18:3-18:3) we observe that the real data is systematically better fit by our procedure than the permuted datasets, as shown in Figure 5 (left). The mean and standard deviation of the error function are shown across 100 permutations for each of the experimental sets. The fit error for the real data is also lower than the average error for the 18:0-22:6 and 18:1-18:1 experiments, though this effect is weaker than for the other experiments.
Home automation and control systems as basic elements of smart cities have played a key role in the development of our homes environments. They have a wide range of applications in many fields at home such as security and monitoring, healthcare, energy, and entertainment applications. The improvement of humans’ living standards make people keep trying to delegate many of their needs to a home automation system. Such a system has been built with capabilities of predicting what the user intends to do in smart home environment. However, there are many issues that need more investigation and solutions, such as: 1) many researches adopt a specific application without integrating different varieties of applications in one environment, 2) there is no study tries to show the real effect or even evaluates the implementation of predicted actions that have been established via homes intelligent gateway, 3) there is an interoperability issue due to using different kinds of home applications that have different protocols for message context. In this proposal, we will describe a new approach of an intelligent self-adaptive system that can precisely monitor a stakeholder behaviors and analyze his/her actions trying to anticipate a stakeholder behavior in the future. In addition, we will evaluate the real effect of a predicted actions after implementing them by an intelligent gateway in a simulated home environment. The principle behind a prediction process is presented by analyzing a sequence of user’s interaction events with heterogeneous, and distributed nodes in the environment using an intelligent gateway. Predicting next stakeholder action can be process using certain analytical algorithms. The main novelties in the proposed approach are threefold: I) Developing a learning technique which is embedded in an intelligent gateway to build a model of users’ behavior and interactions to balance the needs of multiple users within a smart home environment. II) Presents a novel visualization model for a home area network (HAN) based on a degree of centrality criteria, that helps an enterprise companies like Amazon, Google, Microsoft, and Xively to understand the most important services of their customers, III) The proposed system shows a high level concept of how we can design an intelligent self-adaptive system in home environment that has the capability to provide stakeholder with local services, and to support a use of IoT paradigm concurrently.
over electronic systems such as the Internet or television, www, or other computer networks. E-commerce can involve electronic funds transfer, electronic data interchange, automated inventory management systems, and automated data collection systems. Information technology industry saw e-commerce activities as the application and implementation of e-business (e-business) relating to commercial transactions, such as electronic funds transfer, SCM (supply chain management), e-marketing (e-marketing) , or online marketing (online marketing), online transaction processing (online transaction processing), electronic data interchange (electronic data interchange / EDI), etc. e-commerce is part of e-business, in which the scope of e-business more broadly, not just commercial but also include business partners, customer service, etc. jobs. In addition to network technology www, e- commerce also requires a database or database technology (databases), e-mail or electronic mail (e-mail), and the form of non-computer technology as well as delivery systems, and the means of payment for e This trade. But the presence of this online shop in facebook over time makes people become restless, because along with its development, developing also electronic crime. Start amount of fraud in online transactions which made the people feel uncomfortable and do not believe anymore. Many cases of such goods have been paid for are not delivered by the seller or the goods delivered are not in accordance with the order. Even some who deliver goods that have been damaged to the buyer. In addition there are also cases of crimes against the account number of the seller hack the account number of the buyer to take some money or misusing the money belongs to the buyer. This makes people be afraid to take risks with online shopping. According EnyPrihtiyani explained that internet
This paper has presented a framework for achieving higher throughput by careful adaptation of packet (payload) length and data rate with varying channel conditions. We studied the WLAN data configurations, and have proposed a reliable data transmission model for efficient network deployment. A mathematical model under fading and non fading channels that improves the system’s throughput for optimal performance in generic WLAN systems is also presented. The proposed model has been evaluated through extensive computer simulation subject to both Rayleigh and Non-Rayleigh fading channels. The simulation results were analyzed and relationships between the model parameters established.
Faced with stagnation in lending, with the increase in provisioning requirements and increasing funding costs, banks have tried to mitigate the reduction of profits by scaling networks, expanded aggressively in recent years, doing the closure of units and personnel restructuring (in 2009 banks have closed 128 units and 3724 employees were fired). Although faced with these difficulties, the bankingsystem was able to conclude 2009 with a profit of 680 million, an aggregate profit that fell more than 5 times the previous year, mainly due to unprecedented growth in provision expenses (from 7,593.9 mln lei to 14,972.7 mln. lei), due to the high level of nonperforming loans. In this context, the profitability indicators have recorded modest, but positive values: 0.25 percent for ROA (1.56 percent the previous year) and 2.89 percent for ROE (17.04 percent in 2008). The first half of 2010 marked the entry of profitability in negative territory, especially on fund raising necessary to provision expenses. Banks have initiated measures to control costs by scaling both the branch networkand by delaying or reducing investment programs. The increase in interest margins on domestic and foreign currency, sale of fixed assets and purchase of government securities have been among the most common strategies implemented by banks for short-term improvement of their financial positions. It is anticipated that the profitability of the bankingsystem will remain under pressure during 2010, mainly due to the growing needs for provisioning, expression of possible further deterioration of asset quality, under the conditions of reducing the banks' risk appetite and amid continuing economic adjustments based on persistent recession.
This proposed system implementation involves a methodology which begins with the process of understanding the client Server Architecture and Connection establishment between the Client-Server models. The business logic for the requirements is implemented using C# .Net and MySQL Database. The project is implemented as three different modules and integrated together to make an application. The waterfall model has been followed to develop the system.
Abstract—This paper presents an experimental study for evaluating the decision support value of queueing network (QN) based simulation models for information systemdesign performance. For illustration, queueing networksimulation models have been extracted corressponding to three annotated design alternatives of a selected case study. The design alternatives are produced using logical requirements of the selected system. The performance of each alternative is then predicted using quantifiable parameters considering the dynamics of the system such as service time, waiting time and number of entities waiting in the system. In particular, results have shown that the first alternative performs better than the other two in terms of the selected parameters. In general, the case study revealed that QN-based simulation models are capable to distinguish the performance ofdesign alternatives in terms of selected parameters and under given assumptions. This also means that the use ofsimulation may lead to better designed information systems.
Discrete event simulation, as one of the many types and kinds ofsimulation, presents numerous successful cases published on various application areas as general systemdesignand facility lay- outs, material handling systems designs, cellular manufacturing systems design, flexible manufac- turing systems design, manufacturing operations planning and scheduling, maintenance operation planning and scheduling, real time control and operating policies. In each and every scientific contribution, the benefits which comes from experimenting with a model of a real system stayed fully reflected. Understanding the interdependent relationships naturally occurring in the complex manufacturing environment and quickly and accurately model modification without the necessity of making costly guesses have indeed showed its tremendous potential. [61, 66, 68]
3-2 P HOTOLUMINESCENCE SPECTRA OF A -G A A S :S E FILMS The dependence of PLspectra of a-GaAs:Se films on annealing temperature was shown in figure (2). The PL peak located at(832.215),(829.87) and(827.538) for (RT,100 and 200)oCwhich corresponding to an energy (1.49),(1.494) and(1.498) eV respectively. This may be associated to the electron in bottom of Ecrecombine with hole in the Ev This behavior can beinteroperate in term the improvement the
Abstract: This paper proposes a systematic method for the simultaneous determination of adjusted ranks of sample observations and their sums and products adjusted for possible presence of tied observations in the sampled populations for use in further analyses. When computations involving paired data sets, as in the computation of the Spearman Rank Correlation Coefficient, this procedure intrinsically obtained the sums of ranks, products of ranks and sums of squares of ranks, automatically adjusting these sums for more accurate results. The proposed method is illustrated with some data and used to estimate ties adjusted Spearman Rank Correlation Coefficient and the bias that would have arisen if there were no adjustments for ties in the sampled populations.
Cast alloys used for high-duty parts operating in automotive industry and aviation should, besides excellent mechanical properties, offer also stable and failure-free performance. A good measure of the reliability of a selected examined property, e.g. the tensile strength Rm, is estimation of the value of Weibull modulus, closely related with the, so called, part’s survival probability .
generator to generate a signal at a street crosswalk. Both signal heads consist of respective number of 20 cm 2 signal faces (lanterns), standard type double insulation 230/12 V 50 VA transformers, 12 V 50 Hz 50 W 820 lumens 2,000 hrs life expectancy halogen bulbs, polished anodic electrolytic casing 99.9 % pure aluminium reflectors and polished glass lenses. It is installed in a manner that prevents it from overheating by the halogen bulb, which enables constant reflection of light upon the entire lens surface. In special cases, an arrow with the colour of the lens is created on a black background, only on the green lens. The vehicle signal head in particular is installed on a 2.5 m steel pole with the aid of bolts and nuts. This pole is mounted on a pole pedestal buried about 0.5 m into the ground. Proper alignment of vehicle signal heads and poles are ensured for proper vision to all road users. The pedestrian push button assembly has a rigid frame having a piezoelectric material of a solid state switch positioned across a central aperture, and an elastic sealing ring positioned in a groove surrounding the piezoelectric material. A button is secured to the rigid frame such that a seal contact portion of the button sealable rests against the elastic sealing ring. The pedestrians push button is installed about 1.2 m from the surface of the ground on a traffic light pole with the help of bolts and nuts.
With the integration of Romanian banks in the European bankingsystem, in the context of participation in the European single market, and other operational changes be made to promote development and diversification of modern banking products and services at European standards. “Moreover, even in the medium term development strategy of the bankingsystem, developed under the National Strategy for Romania's economic development over the medium term, one of the objectives pursued diversification and increase quality bankingand financial services”. ( Iordache & Şeitan, 2001) . Mainly aims at “integrating [banking], to those of [financial] market operators and also creating conditions for development of products and services, according to market requirements and to implement modern products and services” (Nenciu, 2009) such as hybrid financing instruments, tools and derivatives such as e- banking services).
In Figure 47 it can be seen how the MAVlink packet is built. Firstly we get the Packet start sign which dictates the start of a new packet and has the value of 0xFE (in version 1.0). The following five fields can have values between 0 and 255 with the exception of the System ID which has a minimum value of 1. Starting with the payload length which indicates the length of the payload. The packet sequence lets the protocol know how the sequence of the messages between it and the UAV are and if they are in order or if there is a packet loss. For the System ID it allows to choose which UAV it is sending the message. With the component ID it lets the sender choose which components to target in the UAV which is really useful for flight modes. The message ID defines what the payload means and how to decode it. The payload contains the data of the message with a value between 0 and 255 bytes. Lastly the checksum which has two bytes and is calculated based on the information that came before it, except the message ID and the data, and secures the integrity of the message. The minimum packet length is 8 bytes which corresponds to only an acknowledge while the maximum is 263 bytes with a full payload.