Expert system is an application of artificial intelligence that gathers the expertise of the experts and makes it available for the non-expert user. In this paper, an expert system is designed to diagnose the network connection problems in the computer. The database is built with Prolog and Java is used to build the user interface, and JIProlog is used to connect them both. A case study performed in AlNahrain University campus to test the system performance and the efficiency of the user interface. The results show an efficiency of 82.5% and ease of the Java interface for the users. The non-compatible operating system, Java failure, and the language difficulties for the users were behind the 17.5% efficiency failure.

As new ideas and perspectives continue to be shared by various authors, many different aspects of WSN technology have been generated according to the pivotal role of WSN for many fields in our lives. This technology contains different components, the most basic one is the sensor nodes that communicate with each other and deliver the data. Routing protocols make the sensors' communication and delivering of data thoughtfully planned to be more reliable. Routing protocols are a wide field given the importance of their presence in the network to route the data to the best path or shortest path as much as possible among sensor nodes. This paper focus on cluster-based routing protocols that have hierarchal architecture, this class of protocols has gone through a lot of developments and improvements because of the great benefits that offer to WSN. Part of these Improvements that applied to IEEPB protocol (Improved Energy-Efficient PEGASIS-Based protocol) is enhancing the protocol work mechanism using the Ant colony optimization technique (ACO) to conserve wasted energy and thus increase the network lifetime. Therefore, this paper proposes a SIEEPB-ACO protocol that is an improved protocol over IEEPB protocol using ACO.

Global warming due to greenhouse gases has become a serious global issue. Extensive efforts are being made to fighting this phenomenon through carbon capture as carbon dioxide (CO2) is its major contributor. This study focused on CO2 capture in packed bed column reactor using Poly-(D) glucosamine under the various process parameters such as temperature, feed flow rate and mass of the adsorbent. Statistical design of experiments was carried out in order to analysis the effect process parameters on the capacity of CO2 capture in packed bed column. The obtained results show that feed flow rate has the significant affect compared to others. The maximum of 956 mg of CO2 is captured under the following operating conditions; temperature of 40oC, feed flow rate of 30 ml/min and 0.25 g of the Poly-(D) glucosamine. The ability of Poly-(D) glucosamine to capture the CO2 in packed bed column is confirmed.