![]() Commutes average 30 minutes in the region, with key corridors being I-95 and Florida's Turnpike. While the Tri-Rail commuter rail line offers service to both cities, many residents prefer to drive. Nearby, a landscaped pedestrian Riverwalk extends along New River, connecting to Las Olas Boulevard, a tree-lined street full of outdoor cafes and shops.Ĭommuting from Fort Lauderdale to jobs in Miami to the south, or in Boca Raton to the north, is easy. Festivals, restaurants, shopping and the Broward Center for the Performing Arts are all found downtown. Going to a beach and relaxing by a pool are year-round activities. The Fort Lauderdale lifestyle is oriented around the outdoors and the sun. Fort Lauderdale offers year-around sunshine, miles of public beach, great dining and shopping, plus waterways filled with paddle boarders, kayakers and boaters. Area Informationįort Lauderdale is a large city located in the center of Broward County, Florida, north of Miami-Dade County and south of Palm Beach County. When new apartment listings come on-market, our recommended searches will notify you in real-time, giving you an advantage to contact landlords and property managers as fast as possible. We surface the largest marketplace of apartment rentals to search through, so you can feel confident you'll find the best available rental in Fort Lauderdale. HotPads amenity filters and keyword searches allow you to target exactly what you're looking for in the Fort Lauderdale, FL area. How does HotPads make it easier to find an apartment in Fort Lauderdale, FL? There are currently 2,295 apartments for rent on the Zillow platform in Fort Lauderdale, which fluctuated 1.07% over the past 30-days. How many Apartments are available now in Fort Lauderdale, FL? Check with your local Fort Lauderdale utilities for estimates. In addition to the rent cost, you need to also account for costs of basic utilities consisting of water, garbage, electric and natural gas. The median Fort Lauderdale, FL rent is $3,199 which is above the national median rent of $1,469. Explore Fort Lauderdale How expensive is it to rent an apartment in Fort Lauderdale, FL? ![]()
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![]() ![]() Another challenge in grey-box DBMS fuzzing is the semantics filling of SQL statements. Hence, scheduling seeds by speed and size, the seed scheduling strategy in the existing grey-box DBMS fuzzer, is inefficient. In DBMS fuzzing, different seeds have different correctness, and seeds with different correctness contribute differently to fuzzing. However, less attention has been paid to the seed scheduling strategy in the DBMS fuzzing area. An important one is improving the seed scheduling strategy. In recent years, many new solutions have been proposed for grey-box fuzzer to improve fuzzing efficiency. After mutation, it fills inputs with new semantics to improve the syntactic and semantic correctness. It introduces the structure-aware mutator for SQL statements into AFL. Squirrel, a recent work focusing on DBMS fuzzing, has solved this problem to some extent, making it the state-of-art grey-box DBMS fuzzer. ![]() However, since fuzzer, like AFL, was not initially designed for DBMS fuzzing, the SQL statements generated by AFL often have syntactic or semantic errors, making it hard to trigger the deep logic of DBMSs (such as the optimizer). For example, SQLite used AFL as a standard part of the testing strategy until it was superseded by better fuzzers. The well-known AFL collects the code coverage of the program during fuzzing by instrumentation, and DBMS vendors have applied it to DBMS testing. Therefore, compared with black-box fuzzer, grey-box fuzzer can explore the deep states of the program gradually. With an initial seed queue, the grey-box fuzzer performs a series of mutations on seeds to generate new inputs and saves the inputs that trigger a new state (or crash) of the program for future mutation. The main difference between grey-box fuzzing and black-box fuzzing is that the former leverages instrumentation to glean information about the program, such as code coverage. Researchers have studied grey-box fuzzing actively in recent years. Since black-box fuzzing does not require the source code of the DBMS, it can test some commercial DBMSs that are not open source. Despite inefficiency, this technique still has a wide range of uses. Since the generation of SQL statements is entirely random, considering the complexity of the DBMS, most of the inputs generated by the black-box fuzzer will be difficult to trigger the deep program logic, in which bugs often hide. The disadvantage of black-box fuzzing has been thoroughly discussed by the academic circle, which is inefficiency. The current input is saved for subsequent analysis when unexpected behavior occurs, such as a crash. It randomly generates a large number of SQL statements and executes them in the DBMS. A black-box fuzzer treats the program as a black box and is unaware of internal program structure. Security researchers have found a considerable number of bugs using this technique. The results show that Squill outperforms the previous fuzzer in terms of both code coverage and bug discovery.īlack-box fuzzing, or generation-based fuzzing, has been extensively used in finding DBMS bugs, such as SQLsmith and SQLancer. Overall, 19 of the bugs are fixed with 9 CVEs assigned. ![]() In total, Squill detected 30 bugs in MySQL, 27 in MariaDB, and 6 in OceanBase. In our experiment, Squill explored 29% more paths and found 3.4× more bugs than the existing tool. We implemented Squill based on Squirrel and evaluated it on three popular DBMSs: MySQL, MariaDB, and OceanBase. Second, Squill embeds semantics-aware instantiation to correctly fill semantics to SQL statements with nested structures by collecting the context information of AST nodes. First, we propose correctness-guided mutation to utilize the correctness of seeds as feedback to guide fuzzing. This paper proposes a fuzzing solution named Squill to address these challenges. Moreover, current tools cannot correctly generate SQL statements with nested structures, which limits their effectiveness. However, the seed scheduling strategy of existing fuzzing techniques does not consider the seeds’ correctness, which is inefficient in finding vulnerabilities in DBMSs. In recent years, grey-box fuzzing has been adopted to detect DBMS bugs for its high effectiveness. Thus, detecting security bugs or vulnerabilities of DBMSs is an essential task. Database Management Systems (DBMSs) are the core of management information systems. ![]() ![]() ![]() Most transfer tools allow you to share files between nearby devices while Send AnyWhere is able to send files anywhere in the world. It’s one powerful file transfer tool that is a little different from others. Send AnyWhere (Windows, Mac, Android, iOS) ![]() Download the app on device, install it, and open it, the devices will be connected with a few clicks.ĪirDrop for Windows 11, 10, 8, 7 - Zapya Free Download: You can transfer photos, videos, songs and more of any size. Then you can select the files you want to transfer and they will appear on your other connected device.ĪirDrop for Windows 11, 10, 8, 7 - Filedrop Free Download: Ĭlaims to be "the fastest file transfer tool", Zapya is able to transfer your files at speeds up to 10 megabytes per second through Wi-Fi or hotspot. Simply open Filedrop website on PC and open the app on your iPhone, the two should pair. It’s a good choice if you just want to transfer small files because the transfer speed using Filedrop is relatively slow although there’s no limit on file size. ![]() There is no limitation on how big of a file you can transfer and it has a good speed while transferring large files. You can think of it as an AirDrop download on PC Windows 10 replacement.īesides data transferring, it also provides lots of additional features, for example, you can control Powerpoint presentations on your PC from your iPhone, remotely view PC files on your device, backup photos and more.ĪirDrop for Windows 11, 10, 8, 7 - SHAREit Free Download: įiledrop lets you transfer files on the same network. SHAREit is also one easy-to-use transfer app that lets you transfer files through a Wi-Fi connection. You can open a browser to go to the Xender web on PC, then you can choose to activate the link that Xender provides or scan the QR code in the web app to connect your iPhone with your PC.ĪirDrop for Windows 11, 10, 8, 7 - Free Download Xender: It provides web app and mobile app for your iPhone. It supports transferring many types of files including photos, music, video, and apps, and more. Xender is one popular file-sharing app because of its intuitive and user-friendly interface. Xender (Windows phone, Web, Android, iOS) If you are looking for AirDrop download for Windows PC, go through this part to learn 5 most recommended AirDrop-like apps that can help you transfer files between your iPhone and computer wirelessly. An Easy Way to Transfer Data between iPhone and Windows PC AirDrop for Windows 11, 10, 8, 7 Free Download Read on to discover and download the one that suits you best. However, there is no AirDrop for Windows 10 free download.ĪirDrop cannot help you transfer data from iPhone to your Windows PC because it’s one built-in utility of Apple products and can only be used on iPhone, iPad, and Mac computers. Then you wonder: there might be an AirDrop-like app that can run on Windows PC. Fortunately, there are quite a few alternatives to AirDrop for Windows 11, 10, 8, 7 that can help you AirDrop from iPhone to PC. Indeed AirDrop is one convenient way that lets you transfer files from one iDevice to another wirelessly. As an iPhone user, you may often take advantage of AirDrop to share files between your iPhone and iPad, or share pictures from your iPhone to your friend’s iPhone. ![]() ![]() ![]() You can even keep the doppler for personal use or gift it to a friend!įree doppler not available with sale items, partner items, or with any other discount. Plus, we offer the PlexDisc media in a variety of surfaces, including shiny silver top, logo top, white thermal printable, white & silver inkjet printable, and the exclusive Liquid Defense Plus line of glossy water resistant white inkjet printable versions.
![]() For security purposes, and to ensure that the public service remains available to users, this government computer system employs programs to monitor network traffic to identify unauthorized attempts to upload or change information or to otherwise cause damage, including attempts to deny service to users. More Information Internet Security Policyīy using this site, you are agreeing to security monitoring and auditing. For more information, contact more information, please see the SEC’s Web Site Privacy and Security Policy. You can also sign up for email updates on the SEC open data program, including best practices that make it more efficient to download data, and SEC.gov enhancements that may impact scripted downloading processes. Please declare your traffic by updating your user agent to include company specific information.įor best practices on efficiently downloading information from SEC.gov, including the latest EDGAR filings, visit sec.gov/developer. Your request has been identified as part of a network of automated tools outside of the acceptable policy and will be managed until action is taken to declare your traffic. To allow for equitable access to all users, SEC reserves the right to limit requests originating from undeclared automated tools. ![]() ![]() ![]() Your Request Originates from an Undeclared Automated Tool ![]() ![]() ![]() USDA Forest Service, Rocky Mountain Research Station, research paper RMRS-RP-55, Fort CollinsĬruz MG, Alexander ME (2010) Assessing crown fire potential in coniferous forest of western North America: a critique of current approaches and recent simulation studies. untreated stands of New Mexico and Arizona. Int J Therm Sci 47:1148–1157Ĭram DS, Baker TT, Boren J (2006) Wildland fire effects in silviculturally treated vs. 67, MelbourneĬhetehouna K, Sero-Guillaume O, Sochet I, Degiovanni A (2008) On the experimental determination of flame front positions and of propagation parameters for a fire. Department of Sustainability and Environment, Fire Management Branch, research report no. McGraw-Hill, New York, pp 61–89Ĭhatto K, Tolhurst KG (2004) A review of the relationship between fireline intensity and the ecological and economic effects of fire, and methods currently used to collect data. In: Davis KP (ed) Forest fire: control and use, 2nd edn. īyram GM (1959) Combustion of forest fuel. USDA Forest Service, Intermountain Forest Range Experiment Station, general technical report INT-131, Ogdenīurrows N (2015) Introduction to McArthur and Cheney’s article. USDA Forest Service, Intermountain Forest and Range Experiment Station, research paper INT-69, OgdenĪndrews PL, Rothermel RC (1982) Charts for interpreting wildland fire behaviour characteristics. Īnderson HE (1969) Heat transfer and fire spread. Alexander ME (1982) Calculating and interpreting forest fire intensities. ![]() |
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