Journal of Computer Sciences and Applications

In this paper, we present an automatic recognition system of electronic components. The recognition system is based on digital image of Nyquist curves drawn by transfer functions of their equivalent impedances. In the first step, we construct a database of Nyquist diagram of 17 known circuits. In the second step, we apply shape analysis algorithms of curves such as: Fourier Descriptors (FD), Freeman Coding (FC) and Hu Moments (HM). In classification part, we use the Neural Networks (NN). The simulation results demonstrates that the proposed method give a good results.

Journal of Computer Sciences and Applications. 2015, 3(4), 100-104. DOI: 10.12691/jcsa-3-4-3
Pub. Date: November 05, 2015

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A Zigzag Approach to Cascading Menus

by Duane Yoder, Raihan Uddin Ahmed, Munsi Barkatullah and A. S. M Mahmudul Hasan

Original Research

The traditional cascading menu, commonly used in most desktop applications to traverse hierarchical menu systems, can be a time consuming and difficult task. In particular, the wider the submenu the more difficult it becomes to navigate the constraints of a menu item to reach the submenu. As a consequence, the submenu may disappear requiring additional attempts to attain the submenu. When a target menu items resides several layers deep, the required navigation can produce inefficient time and distance management. In this paper, we present an innovative cascading menu called the zigzag menu to address these issues. In the zigzag menu, submenus appear in alternating directions reducing the navigational distance to reach a submenu. A user study confirmed that a zigzag cascading menu effectively reduces the total mouse traversal required and decreases navigational time as familiarity with the system increases.

Journal of Computer Sciences and Applications. 2015, 3(4), 94-99. DOI: 10.12691/jcsa-3-4-2
Pub. Date: September 04, 2015

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Solution to Black Hole Attack in Ad Hoc on Demand Distance Vector Routing Protocol

by Samah Ahmed Senbel, Ahmed Ibrahim and Nagy E Zaki

Original Research

A Mobile Ad hoc Network is a collection of two or more devices connect with another nodes with flexibility and nodes can connect and leave the network easily. The unreliability of wireless networks lack on infrastructure and a lot of attacks can communicate with the wireless network. In the Black hole attack, the malicious node absorbs the data. MANET Disadvantages all packets and traffic in the network are dropped by Black hole node. Black hole node has the shortest path in the entire network by sending fake route reply. In this paper, propose the effect of the Black hole attack on the network performance using AODV protocol. The proposed process uses the AODV Encryption decryption to detect the Black hole attack. AODV Encryption decryption is modification of AODV protocol to reduce the effect of Black hole attack by adding Encrypt/Decrypt function in AODV protocol.

Journal of Computer Sciences and Applications. 2015, 3(4), 90-93. DOI: 10.12691/jcsa-3-4-1
Pub. Date: September 03, 2015

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