Ngày tải lên: 02/08/2014, 15:20
đồ án các mô hình được sử dụng để mở rộng cơ sở dữ liệu quan hệ
Ngày tải lên: 06/10/2014, 14:38
phương pháp xây dựng một mô hình bảo mật bằng Firewall cho hệ thống mạng doanh nghiệp
... Bá Hiếu Bảo mật mạng bằng công nghệ firewall Tầng ứng dụng (Application Layer): Đóng vai trò là giao diện giữa môi trường OSI và người sử dụng, thu thập các yêu cầu của người sử dụng, xử lí và ... thường mô hình phân lớp trong các hệ thống TCP/IP được xem là mô hình giản lược của mô hình OSI gồm 4 lớp như sau: Lớp Điện Tử 7 - K48 15 Nguyễn Bá Hiếu Bảo mật mạng bằng công nghệ firewall Trong ... Firewall 100 KẾT LUẬN 103 TÀI LIÊỤ THAM KHẢO 105 DANH SÁCH HÌNH VẼ Hình 1.1. Mô hình tham chiếu OSI 15 Lớp Điện Tử 7 - K48 7 Nguyễn Bá Hiếu Bảo mật mạng bằng công nghệ firewall đặt cấu hình...
Ngày tải lên: 21/11/2012, 16:15
Dự báo tốc độ tăng trưởng kinh tế Việt Nam Sự vượt trội của mô hình Mạng thần kinh nhân tạo (ANN) so với mô hình Hồi quy tuyến tính truyền thống.pdf
... hoạt động dự báo của 2 mô hình: mô hình hồi quy tuyến tính và mô hình ANN, trong đó mô hình ANN sử dụng mạng truyền thẳng, một lớp ẩn và hàm Tanh làm hàm truyền. Sử dụng các chỉ tiêu như: ... sánh mô hình Mạng thần kinh nhân tạo với mô hình Hồi quy tuyến tính trên phương diện lý thuyết sẽ hỗ trợ cho quá trình xây dựng và kiểm định hiệu quả dự báo của mô hình Mạng thần kinh và mô hình ... tạo Các dạng mô hình Mạng thần kinh nhân tạo Huấn luyện Mạng thần kinh nhân tạo Các vấn đề của mô hình Mạng thần kinh nhân tạo Ƣu điểm và khuyết điểm của mô hình Mạng thần kinh nhân...
Ngày tải lên: 22/09/2012, 16:55
Trình bày về nội dung, chức năng công việc của mức phiên trong mô hình mạng OSI
... Tầng ứng dụng (Appilication layer): Tầng ứng dụng quy định giao diện giữa ngời sử dụng và môi trờng OSI nó cung cấp các phơng tiện cho ngời sử dụng truy cập và sử dụng các dịch vụ của mô hình OSI. - ... bộ phận của mô hình tham chiếu. Mô hình OSI ra đời sau khi các giao thức TCP/IP đà đợc sử dụng rộng rÃi, nhiều công ty đà đa ra các sản phẩm TCP/IP, vì vậy, mô hình OSI chỉ đợc sử dụng trong ... đổi với nhau sử dụng chung một giao thức. Mô hình OSI tách các mặt khác nhau của một mạng máy tính thành 7 tầng theo mô hình phân tầng. Mô hình OSI là một khung các tiêu chuẩn lập mạng khác nhau...
Ngày tải lên: 08/04/2013, 08:53
Nghiên cứu thiết bịDSLAM và xây dựng mô hình mạng truy cập DSL trong phòng thí nghiệm của BMVT
... hình cụ thể để hỗ trợ cho mạng ảo ATM Khi mạng ảo ATM được hỗ trợ sử dụng cho mạng truy cập sử dụng công nghệ ADSL, giao diện V hỗ trợ 2 kênh ATM: ATM-0 và ATM-1. ATM-0 luôn luôn được sử dụng, ... số lớn trong giao thức ứng dụng được s ử dụng trong lớp này như: FTP, HTTP, SMTP, SNMP Hình dưới chỉ ra các giao thức chủ yếu của TCP/IP được sử dụng trong mô hình TCP/IP. 8 Trên thế ... là ATM-1 được sử dụng, và cả hai kênh AS1 và LS1 được dùng làm kênh trễ. Hình 2.4 và 2.5 minh hoạ hai khối ATU-C và ATU-R khi dùng trong mạng riêng ả o ATM. Hình 2.4: Mô hình tham chiếu...
Ngày tải lên: 26/04/2013, 11:15
Ứng dụng mô hình mạng thần kinh nhân tạo trường hợp TTCK VN
Ngày tải lên: 12/09/2013, 16:20
Ung dung mo hinh mang than kinh du bao lam phat viet nam (1)
Ngày tải lên: 12/09/2013, 16:20
Xây dựng mô hình mạng cho tổng công ty xây lắp dầu khí nghệ an luận văn tốt nghiệp đại học
Ngày tải lên: 19/12/2013, 11:16
Tài liệu TOÁN ỨNG DỤNG - CHƯƠNG 2 CÁC MÔ HÌNH MẠNG pdf
... các số liệu của bài toán mẫu (xem hình II.1). Chương II CÁC MÔ HÌNH MẠNG 1. Mô hình mạng vận tải 1.1. Phát biểu bài toán vận tải Bài toán vận tải được áp dụng rất rộng rãi trong lĩnh vực ... gọn tối ưu bằng phương pháp đơn hình Để tính thời gian rút gọn bằng phương pháp đơn hình (có thể sử dụng các phần mềm máy tính thích hợp), ta phải đưa ra được mô hình toán học, hay cách khác, ... II.5) có thể lựa chọn để đưa vào sử dụng trong phương án mới. Ta quyết định trong phương án mới sẽ chọn ô (3, 2) để đưa vào sử dụng, mỗi đơn vị hàng đưa vào sử dụng tại ô (3, 2) sẽ làm tổng chi...
Ngày tải lên: 21/12/2013, 01:17
LUẬN VĂN TỐT NGHIỆP: XÂY DỰNG MÔ HÌNH MẠNG KHÔNG DÂY ĐIỀU KHIỂN HỆ THỐNG ROBOT TỰ ĐỘNG VẬN CHUYỂN HÀNG HÓA
... ứng dụng vào luận văn này, em lựa chọn mạng RF sử dụng module eZ430-RF2500 của hãng Texas Instrument do tính dễ sử dụng và ổn định của sản phẩm này. Khi cần mở rộng hệ thống có thể chọn mạng ... dáng và kích thước, được sử dụng trong nhiều máy khác nhau, từ máy tiện điều khiển bằng máy tính cho đến các mô hình máy bay, xe hơi hay trong các robot. Hình 3.21 Mô hình một hệ thống servo ... được sử dụng cùng với 1 vi điều khiển và một vài linh kiện thụ động trong hệ thống. Hình 3.1 Module CC2500 27 CƠ SỞ LÝ THUYẾT Hình 3.20 Thẻ (Tag) 125 kHz Trong luận văn có sử dụng...
Ngày tải lên: 05/01/2014, 21:04
Mô hình mạng campus và ứng dụng thực tế
... Abstract. Kiến trúc mạng campus: Giới thiệu mạng Campus; Mạng Campus truyền thống; Các mô hình mạng Campus; Mô hình mạng ba lớp của Cisco; Mô hình Modular trong thiết kế mạng Campus; Mạng LAN ảo (Virtual ... mạng Campus: Mô hình mạng chia sẻ (Shared Network Model). Mô hình phân đoạn LAN (LAN Segmentation Model). Mô hình lưu lượng mạng (Network Traffic Model). Mô hình mạng dự đoán trước (Predictable ... cách sử dụng VLAN, bên trong mô hình mạng Campus, ta có thể điều khiển được lưu lượng và user truy cập dễ dàng hơn trong mạng Campus truyền thống. VLAN làm giảm miền broadcast bằng cách sử dụng...
Ngày tải lên: 10/02/2014, 15:25
Thiết kế mô hình mạng thông tin vệ tinh cho mạng chuyên dụng
... thường sử dụng khoảng lùi công suất. Hình 1.2: Mô hình thông tin hình lưới. 1.1.3 Mô hình thông tin sao lưới hỗn hợp Mô hình này là sự kết hợp của hai kiểu tổ chức thông tin trên. Mạng ... 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 CHƯƠNG 1 LỰA CHỌN MÔ HÌNH TỔ CHỨC VÀ CÔNG NGHỆ TRUY NHẬP MẠNG THÔNG TIN VỆ TINH. 1.1 Các mô hình tổ chức mạng TTVT 1.1.1 Mô hình thông tin hình sao Mô hình này gồm trạm trung tâm ... cao. Hình 1.1: Mô hình thông tin hình sao 1.1.2 Mô hình thông tin hình lưới Trong mô hình này, các trạm VSAT có thể liên lạc trực tiếp với nhau. Trạm Hub chỉ đóng vai trò quản lý mạng, cấp...
Ngày tải lên: 17/02/2014, 09:45