Iraqi Journal for Computers and Informatics

Presenting uncouth proposal for the design of investigating ways to use extraction feature from biometric user,
rather than memorable password or passphrase as an attempt to produce a new and randomly cipher keys. Human users find it difficult to remember long cipher keys. Therefore, the proposed work takes the eye and ear as a multi-biometrics feature extraction for generating the cryptography keys. Meerkat Clan Key Generation Algorithm (MCKGA) is used in this work for key generation, firstly we generate keys with 128-bits, then we enhance our method by generating 256-bits, and finally we mix the keys produced from (eye and ear) and get robust key with 512-bits length, these keys are tested by NIST statically test to generate random keys used in encryption process. Our approach generates unique keys used in cryptographic system by using Advanced Encryption Standard (AES) algorithm.

Collision avoidance techniques tend to derive the robot away of the obstacles in minimal total travel distance. Most of
the collision avoidance algorithms have trouble get stuck in a local minimum. A new technique is to avoid local minimum in convex optimization-based path planning. Obstacle avoidance problem is considered as a convex optimization problem under system state and control constraints. The idea is by considering the obstacles as a
convex set of points which represents the obstacle that encloses in minimum volume ellipsoid, also the addition of the necessary offset distance and the modified motion path is presented. In the analysis, the results demonstrated the effectiveness of the suggested motion planning by using the convex optimization technique.

The cloud computing has acquired a great deal of attraction, the possibility for minimizing over and under provisioning
through enabling a flexible sharing resource and allocation is still large. In this article, a complete analysis towards development of migration method from on premise to cloud will be presented. First we define cloud computing that includes three service models; platform, infrastructure, and software as a service over a network connection. This work demonstrates the issues which the decision makers are facing in the case of evaluating the feasibility of the
migration legacy system in organization into cloud computing. Furthermore, describes our technology toolkit, which has developed to support this process. The efficiency of the proposed technology toolkit has being evaluated under testing as a case study that is exploring options to choosing deployment and cloud service models.

Fifth−generation (5G) and millimeter−waves (MM−W) hold tremendous promise to provide opportunities to
revolutionize education, healthcare, business, and agriculture. Nevertheless, the generation of MM−W in the electrical−domain is infeasible due to the bandwidth limitation of electronic components and radio frequency (RF) interference. The capability to generate MM−W in the optical−domain can provide transportation of MM−W with low loss from switching center to remote base stations. The present paper is focusing on electro−optical
up−conversion (EOU) techniques for optical generation and transmission of 60−GHz MM−W signal. A comparative study is carried out between three different EOU techniques: frequency−quadrupling, frequency sextupling and
frequency−octotupling. The comparative study aims at showing the strengths and weaknesses of three EOU techniques and evaluating each technique in terms of electrical spurious suppression ratio (ESSR), as well as in terms of the influence of non−ideal phase shifting. The performance of the three EOU techniques after
transmission over optical fiber is evaluated by eye pattern test. The results of the simulation confirm that the frequency−quadrupling outperforms frequency− sextupling and frequency− octotupling techniques.