| A REVIEW: Applications of Brain image (FMRI) |
| Pages: 130-137 (8) | [Full Text] PDF (255 KB) |
| S Asadianfam, SN Razavi |
| Department of Computer Engineering, Zanjan Branch, Islamic Azad University, Zanjan, IranAssistant Professor, Department Of Computer Engineering, Faculty Of Electrical & Computer Engineering, University Of Tabriz, Iran |
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Abstract - FMRI is one of the newest tools in neuroimaging. In recent decades there has been widespread use of fMRI images in various applications. fMRI is still in progress. fMRI is a diagnostic method of detecting how a healthy, ill, or damaged brain works neurology. In addition, it is useful for determine the amount of risk types of surgery and neurology. Doctors use fMRI to examine issues such as anatomy and to determine exactly which parts of the brain have critical positions, such as thinking, speaking, moving, and feeling via a procedure called brain mapping. fMRI can also help to determine the after-effects of stroke and brain injuries. Monitoring the growth of brain tumors, surgery schedule, etc. are other applications of the fMRI images. In this study, a number of articles on the fMRI images were reviewed, and some of the applications of these images were presented. Functional areas of fMRI images are the detection of brain activities and brain tumors, and brain mapping. Reviewing the valuable, albeit limited, papers undertaken on this subject in this field, has enabled to present some of the applications of this imaging tool in this study. |
| Index Terms - Machine learning, FMRI, Brain Tumors Detection, Application of fMRI, Brain Activity Prediction |
C itation - S Asadianfam, SN Razavi. "A REVIEW: Applications of Brain image (FMRI)." International Journal of Computer Networks and Communications Security 3, no. 4 (2015): 130-137. |
| A Decision Support Method for Finding Appropriate Information on the Web Documents |
| Pages: 138-150 (13) | [Full Text] PDF (365 KB) |
| RMB Abadi, H Rashidi |
| Department of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, IranDepartment of Mathematics and Computer Science, Allameh Tabatabai University, Tehran, Iran |
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Abstract - Today, the Web has been expanded dramatically and hence, looking up desired information in a vast ocean of available data is a difficult task for users. So, we need methods which using a targeted search, help users in making decisions for choosing the appropriate documents according the desired content. In presented information retrieval technique, web documents are introduced to the user as search results. To resolve this problem can be used semantic extraction. That conclusion is valid for extraction if related subject pages identified initially. Semantic extraction ontology is one of these methods. This paper puts to evaluation the extent of relationship between a Semi structured HTML and ontology using some statistical techniques. Then with calculate the density of the document and compared with the expected density ontology in an acceptable limitation, documents related with ontology predicted. Then with calculate the density of the document and compared with the expected density ontology in an acceptable limitation, documents related with ontology predicted. If calculations for the two cases of expected value with density and view value are within the required range, then ontology would be related. According to experimental Results within a 99% reliable range, shows that the recommended methods ability to achieve value recall 100% and precision 83% is able. |
| Index Terms - Application Ontology, Web Documents, Information Filtering, Statistical Analysis |
C itation - RMB Abadi, H Rashidi. "A Decision Support Method for Finding Appropriate Information on the Web Documents." International Journal of Computer Networks and Communications Security 3, no. 4 (2015): 138-150. |
| Application Intelligence and Vision in Internet of Things (IoT) |
| Pages: 151-155 (5) | [Full Text] PDF (269 KB) |
| MH Asghar |
| School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India |
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Abstract - Internet of Things (IoT) is envisioned as billions of sensors connected to the internet through wireless and other communication technologies. Recently IoT received much attention from scientists, industries and governments all over the world for purpose of succeeding and achieving ubiquitous sensing wireless sensor network technology for changing the era of our modern day living. This offers the capability to measure and understand environmental indicators. Building or home automation, social smart communication for enhancement of quality of life that could be considered as one of the application of IoT where the sensors, actuators and controllers can be connected to internet. IoT can be represented as a main enabling factor of promising paradigm for integration and comprehension of several technologies for communication solution, Identification and integration for tracking of technologies as wireless sensor and actuators. The target of this paper introduces the concept of several applications for internet of things and with the discussion of IP for smart device that will arise as the future vision of internet of things. |
| Index Terms - Internet of Things (IoT), Radio Frequency Identification (RFID), Electronic Product Code (EPC), IP for Smart Device |
C itation - MH Asghar. "Application Intelligence and Vision in Internet of Things (IoT)." International Journal of Computer Networks and Communications Security 3, no. 4 (2015): 151-155. |
| Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm |
| Pages: 156-163 (8) | [Full Text] PDF (602 KB) |
| F Ahmadnezhad, AA Rezaee |
| Masters students, Department of Computer Engineering, Information Technology, PNU, AsalooyeAssistant Professor, Department of Computer Engineering and Information Technology, Payame Noor University, PO BOX 19395-3697 Tehran, IRAN |
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Abstract - Wireless sensor networks are composed of a large number of sensor nodes with limited energy resources. One critical issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is limited. The clustering algorithm is a technique used to reduce energy consumption the performance of Wireless Sensor Networks strongly depends on their lifetime. As a result, Dynamic Power Management approaches with the purpose of reduction of energy consumption in sensor nodes, after deployment and designing of the network. Recently, there have been a strong interest to use intelligent tools especially Neural Networks in energy efficient approaches of Wireless Sensor Networks, due to their simple parallel distributed computation, distributed storage, data robustness, auto-classification of sensor nodes and sensor reading. This paper presents a new centralized adaptive Energy Based Clustering protocol through the application of Self organizing map neural networks (called EBC-S) which can cluster sensor nodes, based on multi parameters; energy level and coordinates of sensor nodes. We applied some maximum energy nodes as weights of SOM map units; so that the nodes with higher energy attract the nearest nodes with lower energy levels. Therefore, formed clusters may not necessarily contain adjacent nodes. The new algorithm enables us to form energy balanced clusters and equally distribute energy consumption. Simulation results and comparison with previous protocols prove that our new algorithm is able to extend the lifetime of the network. |
| Index Terms - Wireless Sensor Networks (WSNs), Algorithm Self-Organizing, Energy Resources, Map (SOM) |
C itation - F Ahmadnezhad, AA Rezaee. "Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm." International Journal of Computer Networks and Communications Security 3, no. 4 (2015): 156-163. |
| Gossip-Based Energy Aware Routing Algorithm for Wireless Sensor Network |
| Pages: 164-172 (9) | [Full Text] PDF (729 KB) |
| S Pishyar, A Ghiasian, MR Khayyambashi |
| Faculty of Computer Engineering, Najafabad Branch, Islamic Azad University, Isfahan, IranAssistant Professor, Faculty of Engineering, Shahrekord University, ShahreKord, IranAssistant Professor, Department of Computer Architecture, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran |
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Abstract - Many advances have been made in wireless sensor networks (WSNs) which are as varied as the applications; and many more are in progress. There are some intrinsic limitations related to WSNs, including scarcity of energy supply, limited processing ability, and lack of processing memory. One of the important considerations of network designers is to devise protocols and algorithms in order to tackle with mentioned restrictions. Among different algorithm categories, routing protocols have direct impact on energy consumption and life time of the network. In this paper we propose three routing schemes based on the well-known Gossiping protocol. The proposed algorithms are evaluated in terms of different parameters by simulation tools. The achieved results of simulations show performance improvement of network operation in terms of network lifetime, delay and packet loss compared to Gossiping and FELGossiping algorithms. |
| Index Terms - Energy Consumption, Routing Algorithms, Network Lifetime, Wireless Sensor Network |
C itation - S Pishyar, A Ghiasian, MR Khayyambashi. "Gossip-Based Energy Aware Routing Algorithm for Wireless Sensor Network." International Journal of Computer Networks and Communications Security 3, no. 4 (2015): 164-172. |
| Performance Evaluation of MANET Routing Protocols under Different Traffic Loads for Varying Maximum Congestion Window Size |
| Pages: 173-181 (9) | [Full Text] PDF (540 KB) |
| NI Abbas, E Ozen, M Ilkan |
| Department of Computer Engineering, Eastern Mediterranean University, North CyprusAsst. Prof., School of Computing and Technology, Eastern Mediterranean University, North CyprusAssoc. Prof., School of Computing and Technology, Eastern Mediterranean University, North Cyprus |
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Abstract - A Mobile ad hoc network is a collection of wireless mobile nodes connected to form a temporary wireless network without using any communication infrastructure. Due to limited network resources and in order to exchange data packets within the network, wireless multiple hops route scheme adopted for mobile nodes connection. Researchers, with the increasing importance of applications in nonmilitary areas proposed several routing protocols for mobile ad hoc networks. This work investigates and compares the performance of MANET routing protocols, namely AODV, DSR and DSDV under different traffic loads with different maximum TCP congestion window size. The Metrics used to compare routing protocol performance are addressed as a packet delivery ratio, the average end-to-end delay, average routing load, and average network throughput. |
| Index Terms - MANET, Routing Protocols, DSR, AODV, DSDV, Congestion Window Size, NS2 |
C itation - NI Abbas, E Ozen, M Ilkan. "Performance Evaluation of MANET Routing Protocols under Different Traffic Loads for Varying Maximum Congestion Window Size." International Journal of Computer Networks and Communications Security 3, no. 4 (2015): 173-181. |
| Maintaining Water Surface Coverage by Mobile Sensor Nodes with Energy Harvesting |
| Pages: 182-190 (9) | [Full Text] PDF (464 KB) |
| R Katsuma, H Ueno |
| Graduate School of Science, Osaka Prefecture University, Japan |
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Abstract - Wireless sensor networks (WSNs) require long network lifetime and adequate field coverage, which can be problematic under certain conditions. Several studies have addressed these problems using energy harvesting or mobile sensor nodes. However, it is difficult to maintain field coverage on the surface of water for extended periods because of sensor node movement by water current. Therefore, a dynamic method to adjust the positions of sensor nodes is required. We propose a distributed algorithm to move sensor nodes dynamically and schedule node condition (active or sleeping) to maintain water surface field coverage for extended periods. Simulation results confirm that the features of proposed method can improve the duration of field coverage by 32%. |
| Index Terms - Sensor Network, Mobile Sensor Node, Energy Harvesting, Coverage, Moving Schedule |
C itation - R Katsuma, H Ueno. "Maintaining Water Surface Coverage by Mobile Sensor Nodes with Energy Harvesting." International Journal of Computer Networks and Communications Security 3, no. 4 (2015): 182-190. |
| Web Spam Detection Inspired by the Immune System |
| Pages: 191-199 (13) | [Full Text] PDF (914 KB) |
| MD OSKOUEI, SN RAZAVI |
| Department of Computer, Shabestar Branch, Islamic Azad University, Shabestar, IranDepartment of Electrical and Computer Engineering, University of Tabriz, Iran |
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Abstract - Internet is a global information system, and search engines are currently the most common tools used to find information in web receiving query from the user, and present a list of the results related to user query. Web spam is an illegal way to increase web pages rank, and it tries to increase the rank of some web pages in the list of results by manipulating ranking algorithm of search engines. In this paper, a novel method is presented to detect spam content on the web. It is based on classification and employs an idea from biology, namely, danger theory, to guide the use of different classifiers. The evaluation of content features of WEBSPAM-UK2007 data set using 10-fold cross-validation demonstrates that this method provides high evaluation criteria in detecting web spam. |
| Index Terms - Artificial immune system, Web spam, Danger theory, Machine learning, Classification |
C itation - MD OSKOUEI, SN RAZAVI. "Web Spam Detection Inspired by the Immune System." International Journal of Computer Networks and Communications Security 3, no. 4 (2015): 191-199. |