In communication network design, Fiol and Llad´o  identified several factors which should be considered. Some of these factors seem fundamental, for instance, there must always exist a path from any processing element to another. Also, the data communication delay during processing must be as short as possible. The complexity of thenetwork will also increase dramatically if the number of elements (or computer) that are involved inthenetwork increases, especially if the number of connections that are connected to a vertex is also getting larger, then the design of a network which admits a modularity, a good fault tolerance, a diameter vulnerability and a vertex-symmetric interconnection network properties will always be a major concern innetwork topology. One of the important efforts that can be done is to do labeling to the models of thenetwork.
Network public opinion analysis is an important way of information analysis processing. This paper based on the research of the related technologies, designs and realizes a new network public opinion analysis system. System mainly includes network data fetching part, fetching the data processing part, analyzes the processed data part and display part of the public opinion analysis results. Inthe document extraction part, used the web crawler technology, Larbin web crawler to realize the collection of web content; In public opinion information analysis part, the implementation of the new topic adopts an improved Single - Pass clustering algorithm. This algorithm is using of multi-center, using the title and body of the vector to compared two-way, that is better reflect the dynamics of public opinion topics. Finally, inthenetwork environment of a university, we have the tests repeatedly. The results show that the new public opinion analysis system running is stable and has good efficiency. The thesis has certain value for the development of other information analysis systems inthe Internet.
the amount of its initial energy, CH means the header of the cluster, and c indicates the proportion of the number of the CH to the number of all nodes inthenetwork. In addition, (c) is used as the constant to decide the tolerance limit for the CH as well. The proportion of the CHs plays an important role. The assumption uses c = 0.5 for the proportion. When a newly*calculated energy (E) is greater than the value of the current CH energy (E'), the node with the energy (E) becomes a new CH. The new CH assumes the right to collect the data from the member nodes and announces that it has become the CH to them. Since every node inthenetwork sends data to the BS, and the BS broadcasts the information of CH to all nodes while selecting the CHs, it is better not to initiate the CH selection algorithm too often. It is very likely that the node with the second*greatest remaining amount of energy becomes the header for the next round since each node of the cluster does not generally spend too much energy comparing with the amount of the initially given energy.
Network Monitoring Tool eases the work of every network administrator. Nagios is a real time network tool used to analyze interpret and display network traffic. The workstation and client can monitor some the traffic flow inthenetwork without disturbing thenetwork at the same time. It also provides tools for technical control and performance of the system. The whole system can be viewed as combined structure with important process. Nagios application also presents thenetwork bandwidth usage and also can notify thenetwork admin via email if thenetwork down or the bandwidth hits a certain threshold. Integrated MRTG also enable thenetwork admin to view the bandwidth congestion during the peak hours. We propose the new services in Nagios which capable of monitoring network, bandwidth, alert via email and generate graph. Network monitoring is a part of thenetwork. Real-time network analysis helps detect network faults and performance quickly thus preventing thenetwork to down.
First, the visual analysis performed showed that, inthe more formal relationships, the core nodes or central firms with high numbers of tie connections are largely the focal firms and the first-tier firms. On the other hand, the optical analysis of the sociogram for the informal information sharing ties shows that thenetwork structure differed. The differences again centred on the type of firms that received the most ties or connectivity. Inthe informal information-sharing tie network structure, there is a mix of firms from distinctive tiers that are central inthenetwork. The researcher argues that this distinct network structural formation relates to the type of resources offered by the different kind connectivity. This is rightly so, as the distinctive type of ties may offer the connected organizations with distinct social capital (Cousins et al., 2006; Gordon, Kogut and Shan, 1997) of competitive advantage (Porter, 1985; 1998). Our finding is similar to Oh et al. (2004). They documented that the configuration of group members’ social relationships is related to the construct of the group social capital that is inherent inthe structure or pattern of relations between actors (Burt,1995; 1995; Coleman, 1988; Nahapiet and Ghoshal, 1998). This pattern of connection creates a network of interdependent social exchanges. Consequently, organizations with the right connections occupy a position inthenetwork of social exchanges that allows them to bring their resources to bear on problems in a more timely and effective manner (Burt, 2004).
The refurbishment and replacement of existing assets will naturally focus on components of thenetwork. It is expected that a component of thenetwork will be de"ned in terms of the component type, its location inthenetwork, and its state, and that these will need to be identi"able within a net- work information system (e.g. see Fig. 1). A compon- ent type we de"ne as a physical item whose description is unique when considered outside the context of thenetwork; thus we think of component types as items prior to their setting inthenetwork, e.g. a coil of 100 mm plastic ` gas main a . The loca- tion of a component will be characterized by the environmental conditions in which it is installed; and its logical and geographical location. The state of a component will be de"ned by its operating intensity, and its current age and/or condition. This information for all components will thus form an evaluation of the `statea of thenetwork. Compon- ent identi"cation will be carried out once only during the life of the component, while component evaluation may be updated on as as-required basis.
With the development of wireless communication, wireless spectrum has become increasingly scarce, but some of the frequency spectrum utilization is not filling urn. For more effective to improve spectrum utilization, need to further improve the traditional spectrum management method, therefore, which used in cognitive radio spectrum analysis strategy has become a hot research topic . Cognitive radio spectrum can be detected and can be adjusted according to the use of the corresponding and new technique is an effective use of spectrum. Automatic spectrum detection the basis of a variety of cognitive wireless sensor network coexistence, but how to make the spectrum detection is more reliable is still a research hot spot. In fading channel, the multipath effect, shadow effect and local interference will cause the signal to noise ratio range is lower than the threshold, tests are not complete so a single wireless sensing technology is unreliable. But due to different position signal intensity inthenetwork, if collaboration for distributed detection, through thenetwork can avoid detection could not be completed. Support vector machine is a kind of based on statistical learning model and structure risk minimum principle of machine learning method, is widely used in statistical classification, applicable to linear separable and linear inseparable with under the small training samples can obtain the characteristics of the good classification effect. The SVM classifier can be used to training the time-domain signal spectrum. At the same time after using compression perception spectrum detection problem can be treated as linear inseparable case classification problem . Inthe spectrum sensing algorithm based on compression perception and energy test, the computational complexity of system are mainly concentrated inthe reconstruction of the signal, so we try to avoid the compressed signal reconstruction and direct use observation sequence test spectrum. Inthe formula one, we define the objective function.
At the same time the demand of computation, information and communication technology was incredibly increasing. Besides, the status of Gadjah Mada University (UGM) was changing from State University to State- Owned Legal Body University (BHMN). This changing status implied to the university management which demanded a fully integrated information system in order to increase the efficiency in management. Responding to these demands, in 2002 the University started a development project for facilities, which ICT was included. In early 2003, the whole university including The Faculty of Forestry was connected to the internet which uses fiber optics with capacity up to 100 Mbps. The actual bandwidth inthe whole university is 56 Mbps whose 680 Kbps is allocated to the Faculty of Forestry. The University was fully supporting the application of ICT in learning processes. This support was officially stated inthe strategic plans of the UGM. Since then a substantial transformation in ICT utilization for education happened. The alteration has been happening in three main businesses of the faculty, namely education, research, and public services.
An improvement neural network adaptive control strategy is put forward for X-Y position platform with uncertainty by the paper. Firstly, dynamics model of X-Y position platform is established. Then, RBF neural network with good learning ability is used to approach non-linear system. The early period control accuracy of the problem is considered by the paper, because good precision inthe early period is difficult to be obtained by neural network controller, so PID controller is designed to compensate control. An improvement dynamic optimization adjustment algorithm of network weights is designed to speed up the learning speed. Simulation results show that the control method is more effective to improve the control precision and real-time and has a good application value.
On February 1, 2002, the Company and Indosat announced the cancellation of the KSO IV Transaction. As a result, the Company settled this portion of the cross-ownership transaction in cash. At the time of the transaction, the Government was the majority and controlling shareholder of both the Company and Indosat. Accordingly, the Telkomsel, Satelindo and Lintasarta Transactions have been accounted for as a restructuring of entities under common control. The Company’s acquisition of a controlling interest in Telkomsel was accounted for in a manner similar to that of pooling of interests accounting (carryover basis). Accordingly, for reporting purposes, the financial statements of the Company and those of Telkomsel have been combined, as if they had been combined from the beginning of the earliest period presented. The effects of the transactions between the Company and Telkomsel before the combination were eliminated in preparing the combined financial statements. On the consummation dates of the transactions, the difference between the consideration paid or received and the historical amount of the net assets of the investee acquired or carrying amount of the investment sold was included as “Difference in value of restructuring transactions between entities under common control” inthe stockholders’ equity section.
This paper integrates wavelet theory and artificial neural network (ANN), replaces the excitation function inthe neural network with wavelet function and applies the advantages of multi-resolution analysis into the neural network so as to obtain a more flexible network design and better network performance. It has the advantages such as large-scale parallel processing and distributed information storage as well as excellent adaptivity, self-organization, fault tolerance, learning function and associative memory function. This paper firstly introduces the basic principle of image compression. Then it elaborates and integrates wavelet analysis and ANN. Inthe wavelet neural network, training is only needed inthe weight of the output layer while that of the input layer can be determined according to the relationship between the interval of the sampling points and the interval of the wavelet compactly-supported interval. Once determined, no training is necessary; thus, it greatly accelerates the training speed of wavelet neural network and solves the problem that it is difficult to determine the nodes inthe hidden layer of the traditional neural network. The final part is the experimental simulation and analysis.
Telephone used to receive and deliver written message or data through the fax machine which is set up to the telephone. A sophisticated machine which can copy distance file, and the copied file is totally equal with the original data, document and information.
Abstract - Malware is become an epidemic in computer net- work nowadays. Malware attacks are a significant threat to networks. A conducted survey shows malware attacks may result a huge financial impact. This scenario has become worse when users are migrating to a new environment which is Internet Protocol Version 6. In this paper, a real Nimda worm was released on to further understand the worm beha- vior in real network traffic. A controlled environment of both IPv4 and IPv6 network were deployed as a testbed for this study. The result between these two scenarios will be analyzed and discussed further in term of the worm behavior. The ex- periment result shows that even IPv4 malware still can infect the IPv6 network environment without any modification. New detection techniques need to be proposed to remedy this prob- lem swiftly.
IPv6 is a new network protocols which is meant to over- come IPv4 problems. Many advantages offered by this new protocol including 1) A large number of address flexible addressing scheme 2) Offers packet forwarding more effi- cient 3) Support for secure communication 4) Better sup- port for mobility and many more . Although IPv6 offers a lot of benefits, people are still reluctant to totally migrate from IPv4 to IPv6 network. This is because even IPv6 have been deployed for many years, this protocol is still consi- dered in its infancy . Many researchers have spent ample of time to enhance the IPv6 services to become at least at par with IPv4 addresses. Since IPv4 addresses are facing depletion, migrating to IPv6 is inevitable eventually [3-5]. Some studies claimed that IPv6 cause many security issues [6-9]. Unfortunately, researchers pay little attention on IPv6 security issues. Thus, some culprits are really eager to fully utilities all the vulnerabilities occur during this transition period. Producing malware is one of the most popular techniques to be used. Studies show that new age malwares can survive in new network environment [11, 12]. Hence, researchers agree that further studies have to be conducted to remedy the malware infection issues [13-16].
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The Parks and Recreation Department (now NParks) first proposed the Park Connector Network (PCN) in 1992 for alternative recreation options for Singaporeans. Three hundred km of Park Connector (PC) were targeted to be developed in 30 years time. The Park Connectors were initially planned abutting the drainage reserves, water bodies connecting the national, regional and local parks. The PCN were easily implemented because of the land availability. The Coastal areas were utilised later because good connectivity. Common activities held within the PC and the coastal parks comprised of cycling, jogging, walking, and other recreational activities for Singaporean. 8
pressure releasing structure can be alternative utilized. Due to the excessive water supply at ground reservoir of Gondosuli, there is a large amount of water during the existing condition. To have an efficient function of the reservoir, water supply from Semaren should be opened only based on the existing need. Mostly, water velocity at existing condition is still 0,1 m/sec because the pipe diameter is wider than the size needed. However, this condition is still allowable since the flow is turbulence. There are no significant changes between the pipe condition inthe year 2015 and the existing condition, in which water demand can still be fulfilled although the demand rises. Based on the simulation of the existing condition, the alternative model for the existing pipe which have technical advantages are thenetwork pipes with smaller diameter adjusted to water demand, and smaller volume of Gondosuli ground reservoir. These may result in more efficient and economical cost of Rp 416.818.750,00. The allocation of this cost can then be utilized for the development of a wider network.
Using the trained building detection network model, we performed building detection on four test satellite remote sensing images. Figure.2 shows building detection results of four test images with the building detection networkin proposed model, in which the true positives (TP), false positives (FP), and false negatives (FN) are denoted by red, green, and blue rectangle. Besides visual illustration, the numerical results of the proposed method are listed in Table.2. As shown in Table.2, the proposed building detection network has successfully detected and located most of the buildings. The average precision of the four images reached 98.3%. In addition, to further validate the performance of the proposed building detection network, we compute the