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Over 100,000 HQ DivX TV & Movies! All DVD Quality! 99.99% Active Links! The Fastest Streams! Updated Daily! And we love you too :).G, 3. G, or 4. G LTE networks that the 4. G LTE module can connect to, please refer to 4. G LTE Module Frequency Bands. Refer to Features for a summary of software and platform requirements by 4. G LTE model. Warning: Only trained and qualified personnel should be allowed to install, replace, or service this equipment. Statement 1. 03. 0Features. Listed below is a summary of key software and hardware features for the 4. G LTE module. Please also refer to the data sheet for Cisco Connected Grid 3. G and 4. G LTE Cellular Modules on Cisco. The Cisco Connected Grid 4. G LTE module allows utilities to communicate with substations (transmission and distribution) using 2. G, 3. G, or 4. G wireless technologies. The 4. G LTE module provides the following software and wireless features. For a description of hardware features, see Hardware Overview. Software Features. The cellular interface type distinguishes between the cellular WAN link and other asynchronous interfaces. By specifying different commands in the script, the user can connect to the different cellular services (technologies). The 4. G LTE module supports line timeouts as part of the dialer functionality. The dial- in feature is initiated using the incoming cellular voice call. The cellular modem initiates a data connection using the call back method. See Upgrading the Modem Firmware. This utility will allow activating the cellular account using IOS CLI. The alternative over the air methods, such as OTASP will be supported by the cellular modem hardware, which may not require the end user intervention. The SIM card can be installed in either of the two available sockets accessible on the front panel of the 4. G LTE module. Only one slot is active at any given time. The software can detect when a SIM card is inserted or removed, and through the software you can control which SIM is connected to the modem. See Applying a Modem Profile in a SIM Configuration. Application Interface Features. EAP- SIM is available through: –The API–AT commands–The PC / SC interface. Network Selection. The module connects to the host router board of the CGR 1. Series routers. This section covers the following topics. The LEDs provide a visual indication of the available services. Table 3 LED Definitions. Port or LED Name. Color. Description. WWANGreen. WWAN LED indicates the modem status: . Software controls SIM insertion/removal and the software setting of the SIM Socket Select bit. Internally to the CGM module, the modem mini- card antenna connector is a U. FL, 5. 0- ohm, with a short 5. QMA connector. Note: The antennas have either N or TNC connectors (not QMA connectors). This means that an adapter or cable is required. For more information about antennas, including installation procedures, see Connected Grid Antennas Installation Guide. There are several antenna options for the available combinations of cable and antennas. System integrators would need to consider cellular link margins at the local site prior to deploying long cables. CGR 1. 12. 0—Supported Antennas and Cables for Use With the 4. G LTE Module lists the Cisco antennas that are supported for use with the 4. G LTE module and the Cisco 1. Connected Grid Router. CGR 1. 24. 0—Supported Antennas and Cables for Use With the 4. G LTE Module lists the Cisco antennas that are supported for use with the 4. G LTE module and the Cisco 1. Connected Grid Router. Table 4 CGR 1. 12. Supported Antennas and Cables for Use With the 4. G LTE Module. Case Description. Indoor Cable. Lightning Arrestor. Outdoor Cable. Antenna. Case 1: 4. G LTE Module, 1. Stick Omni or Directional Flat Panel antenna, 2 QMA(f) on faceplate. RA- QMA(m) to N(m), LMR- 2. DB, 1. 0’, qty 2. Refer to CGR 1. 24. Supported Antennas and Cables for Use With the 4. G LTE Module for cable compatibility with Cisco Connected Grid routers, modules and antennas. Table 6 Cisco Extension Cable Assemblies for 4. G LTE Module. Cisco Product Number. Cable Length. Maximum Insertion Loss. Frequency (MHz)CAB- L2. Q- N1. 0 ft (3. 1 m)1. B max. The main antenna is mandatory; it both transmits and receives RF. The second AUX QMA connector is for RX Diversity and/or MIMO. Environmental Specifications. Module Environmental Specifications lists the environmental specifications for the 4. G LTE module. Table 7 Module Environmental Specifications. Environmental—Operational. Specifications. Temperature long term (external ambient)- 4. It has two 3. 3. V DC- DC converters on the 1. V power rail: one for the module and the other for the modem. You can configure a power margin for the converters with CLI commands. The modem on the 4. G LTE module is powered by the 1. DC- DC converter with 3 Amp maximum current output. The enable pin is driven by a general- purpose input/output (GPIO) and controlled by software. The input is the 1. V rail from the host. The output is a regulated 3. V supply for the wireless modem. It must be able to supply current at an average of 0. A with spikes up to 2. A. The duty cycle of the absolute worst case load (during some periods of GSM transmit) is 2. A @ 2. 5% of the time and 0. A @ 7. 5%. Note: Power cables are self- shielded; no additional shielding is required. Table 8 Power Specifications Power Source. Description. 12. V power rail. Max 1. A (based on current draw from 2 DC- DC converters below)3. V modem. Peak current 3. A, average power: 3. W (based on average current of ~0. A)3. 3. V module. Peak current 5. 00m. A typical: 2. 00m. A (for LEDs and integrated circuitry)3. V standby. Peak current 5. A (for temperature sensor)Modem. The MC7. 3xx series modems support a PCI- e connection as well as USB 2. The host router communicates to the modem module and manages traffic via USB. The modem provides these features. You can install the SIM card in either of the two available sockets accessible on the front panel. Only one slot is active at any given time—if both slots SIM0 and SIM1 are occupied by a card, then the system activates SIM0. This behavior cannot be reconfigured. Only one SIM can be connected to the modem at any time. The SIM switching circuit also provides the option of disconnecting both SIMs from the modem. The 4. G Debug and SIM Control register controls the SIM connections. By setting the SIM Socket Enable and the SIM Socket Select bit through Cisco IOS commands, you can control the signal and power connections from the modem to the SIM card. Options to Connect to the SIM Sockets shows the options used to connect to SIM0 and SIM1 cards: Table 1. Options to Connect to the SIM Sockets SIM Socket Enable. SIM Socket Select. State. 0—No SIM connected. SIM0 connected. 11. SIM1 connected. For information on installing and removing the SIM card, see Installing and Removing the SIM Card. For SIM configuration, see Configuring a SIM for Data Calls. Voltage Monitoring State Machine. A state machine in the 4. G LTE module monitors the VCC supply and the voltage conditions that trigger state changes. Temperature Monitoring State Machine. The state machine in the 4. G LTE module monitors the embedded module temperature. Data Rates. Data Rates shows the theoretical rates for each listed technology. The actual throughput rates depend on many factors. Table 1. 1 Data Rates. Technology. Maximum Downlink Speed. Typical data throughput 1. Up to 1. 9. 2 Mbps. Current networks and chipsets support 3. Up to 1. 4. 4 Mbps. Current networks and chipsets support up to 1. Mbps. 1. 00. Mbps (2. MHz band). 5. 0Mbps (1. MHz band). Maximum Uplink Speed. Typical data throughput 1. Up to 3. 84 Kbps. Up to 3. 84 Kbps. Mbps (2. 0MHz band). Mbps (1. 0MHz band). Memory Specifications. The memory specifications of the module are listed in Memory Specifications for the 4. G LTE Module. Table 1. Memory Specifications for the 4.
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Dealing with Uncertainties and Scenario Modeling. A mathematical optimization model consists of an objective function and a set of constraints in the form of a system of equations or inequalities. Optimization models are used extensively in almost all areas of decision- making, such as engineering design and financial portfolio selection. This site presents a focused and structured process for optimization problem formulation, design of optimal strategy, and quality- control tools that include validation, verification, and post- solution activities. Global optimization is a branch of applied mathematics and numerical analysis that deals with the global optimization of a function or a set of functions according to. ![]() Title obtained from PUC-Rio University located at Rio de Janeiro (RJ), Brazil, with the thesis titled “ANT COLONY OPTIMIZATION APPLIED TO SWITCH ENGINE OPERATIONS.
To search the site, try Edit . Enter a word or phrase in the dialogue box, e. In deterministic models good decisions bring about good outcomes. The problem may be one of reducing the cost of operation while maintaining an acceptable level of service, and profit of current operations, or providing a higher level of service without increasing cost, maintaining a profitable operation while meeting imposed government regulations, or . To identify methods for improvement of system operation, one must construct a synthetic representation or model of the physical system, which could be used to describe the effect of a variety of proposed solutions. A photograph is a model of the reality portrayed in the picture. Blood pressure may be used as a model of the health of an individual. A pilot sales campaign may be used to model the response of individuals to a new product. Temperature is a model of climatic conditions, but may be inappropriate if one is interested in barometric pressure. A photograph of a person is a model of that individual, but provides little information regarding his or her academic achievement. An equation that predicts annual sales of a particular product is a model of that product, but is of little value if we are interested in the cost of production per unit. Thus, the usefulness of the model is dependent upon the aspect of reality it represents. A thermometer that reads too high or too low would be of little use in medical diagnosis. A useful model is one that captures the proper elements of reality with acceptable accuracy. Such problems arise in all areas of business, physical, chemical and biological sciences, engineering, architecture, economics, and management. Optimization models are used extensively in almost all areas of decision- making such as engineering design, and financial portfolio selection. The effectiveness of the results of the application of any optimization technique, is largely a function of the degree to which the model represents the system studied. This criterion is often referred to as the measure of the system performance or the measure of effectiveness. In business applications, the measure of effectiveness is often either cost or profit, while government applications more often in terms of a benefit- to- cost ratio. If the objective function is to describe the behavior of the measure of effectiveness, it must capture the relationship between that measure and those variables that cause it to change. System variables can be categorized as decision variables and parameters. This mathematical relationship is the objective function that is used to evaluate the performance of the system being studied. Attempts to develop the objective function may fail. Failure could result because the analyst chose the wrong set of variables for inclusion in the model, because he fails to identify the proper relationship between these variables and the measure of effectiveness. Returning to the drawing board, the analyst attempts to discover additional variables that may improve his model while discarding those which seem to have little or no bearing. However, whether or not these factors do in fact improve the model, can only be determined after formulation and testing of new models that include the additional variables. The entire process of variable selection, rejection, and model formulation may require multiple reiteration before a satisfactory objective function is developed. The analyst hopes to achieve some improvement in the model at each iteration, although it is not usually the case. Ultimate success is more often preceded by a string of failures and small successes. Two criteria are frequently employed in this determination. The first involves the experimentation of the model: subjecting the model to a variety of conditions and recording the associated values of the measure of effectiveness given by the model in each case. For example, suppose a model is developed to estimate the market value of single- family homes. The model will express market value in dollars as a function of square feet of living area, number of bedrooms, number of bathrooms, and lot size. After developing the model, the analyst applies the model to the valuation of several homes, each having different values for the characteristics mentioned above. Since this result is at variance with reality, the analyst would question the validity of the model. On the other hand, suppose the model is such that home value is an increasing function of each of the four characteristics cited, as we should generally expect. Although this result is encouraging, it does not imply that the model is a valid representation of reality, since the rate of increase with each variable may be inappropriately high or low. For example, suppose that a mathematical model has been developed to predict annual sales as a function of unit selling price. If the production cost per unit is known, total annual profit for any given selling price can easily be calculated. However, to determine the selling price to yield the maximum total profit, various values for the selling price can be introduced into the model one at a time. By trial and error, the analyst may determine the selling price that will maximize total annual profit. The analyst is to assist the decision- maker in his/her decision- making process. Therefore, the analyst must be equipped with more than a set of analytical methods. The specialist may feel that the manager is too ignorant and unsophisticated to appreciate the model, while the manager may feel that the specialist lives in a dream world of unrealistic assumptions and irrelevant mathematical language. Moreover the bootstrapping approach simplifies otherwise the difficult task of model validating and verification processes. Subsequent sections consider the most appropriate methods for dealing with linear optimization, with emphasis placed on the formulation, solution algorithm, and the managerial implication of the optimal solution, with sensitivity analysis. Bender E., An Introduction to Mathematical Modeling, Dover Pubns, 2. Fdida S., and G. Pujolle, Modeling Techniques and Performance Evaluation, Elsevier Science, 1. Gershenfeld N., The Nature of Mathematical Modeling, Cambridge Univ. Optimization- Modeling Process. Optimization problems are ubiquitous in the mathematical modeling of real world systems and cover a very broad range of applications. These applications arise in all branches of Economics, Finance, Chemistry, Materials Science, Astronomy, Physics, Structural and Molecular Biology, Engineering, Computer Science, and Medicine. The general procedure that can be used in the process cycle of modeling is to: (1) describe the problem, (2) prescribe a solution, and (3) control the problem by assessing/updating the optimal solution continuously, while changing the parameters and structure of the problem. Clearly, there are always feedback loops among these general steps. Develop a mathematical model or framework to re- present reality in order to devise/use an optimization solution algorithm. The problem formulation must be validated before it is offered a solution. Next, the solution will be presented to the decision- maker in the same style and language used by the decision- maker. 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Automate and simulate your business processes using professional ARIS Platform tools. The Business Process Modeling Notation version 2 (BPMN 2) is a process modeling notation maintained by OMG, a public standardization organization. Business Process Diagrams solution extends the ConceptDraw PRO BPM software with RapidDraw interface, templates, samples and numerous libraries based on the BPMN 1.2. ![]() BPMN 2 is used to document business processes and workflow processes alike. It supports modeling of activities, events, gateways, swimlanes, etc. ARIS supports BPMN since first release of BPMN. ARIS provides cutting edge BPMN 2 process modeling for beginners and advanced modelers. For beginners, BPMN 2 modeling is available in the free modeling tool. ARIS Express. BPMN process modeling support is available in ARIS Express and ARIS Platform tools. The products of ARIS platform support BPMN 2 as follows: BPMN conversation diagram. BPMN process diagram. EPC to BPMN transformation. 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Sports journalists and bloggers covering NFL, MLB, NBA, NHL, MMA, college football and basketball, NASCAR, fantasy sports and more. News, photos, mock drafts, game. ![]() ![]() Losing My Son : When my son, Ralph, was a boy, I took him to Toys-R-Us, and he got detached from me. Ralph being my first child, my fatherly instincts caused me to panic.Find the latest sports news and articles on the NFL, MLB, NBA, NHL, NCAA college football, NCAA college basketball and more at ABC News. ![]() How to Hack Facebook Password Account . Actually why this topics was very interesting? Facebook was the number one social media today in the world. There's so many ways and possibilities to hack facebook password account, from the easy and simple one until the hard and very complicated. The basic hack facebook password account method actually almost the same, but with different type, kind, and ways. Here's some ways how to hack facebook password account : 1. Facebook Phishing 2. Remote Update Facebook Status (Social Engineering) 3. Man in the Middle Attack 4. Keylogging This method has a great success rate possibility, because there's so many people not understand too much about how to surf the internet safely. Phishing This is the most used and commonly attack to hack facebook password account. Usually attacker will create a fake log in page that looks like the real Facebook log in page. This type of attack will replicate the original facebook page and modified to fit the attacker needs for their attack. For this type of attack, you need to know basic web programming such as PHP, ASP, etc. You can just download the file needed to create a fake facebook page and if you understand how to upload and host the file in a web hosting, you also can host the file so it can be accessed worldwide. FYI : you can use 0. To understand the logic, let see the topology below Users was accessing facebook page and they are still active and interacting using facebook, on the same time, they also open another website let say it is vishnuvalentino. When users opened vishnuvalentino. Users didn't know that in attacker website already put a malicious script that will update users/victim facebook status silently. A password cracker software, which is often referred to as a password recovery tool, can be used to crack or recover the password either by removing the original. Click on the Facebook search bar and, yup, there are your recent searches. So helpful, Facebook! Luckily, as InformationWeek points out, you can clear your. Let us see the script below : That script can make users posted something in their facebook status and in that script above I can put some links to fake facebook page(phishing page) . More people open that link, more people will infected. It's in Indonesian language that mean . In recent weeks I have written a lot about how to make online accounts recoverable. A typical security option is setting up a security question. Tabtight professional, free when you need it, VPN service. It’s been a tough year in the news. White supremacists are committing acts of domestic terrorism. North Korea is threatening nuclear war. Trump is president. ![]() Estimating how long it takes to crack any password in a brute force attack. |
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