Nodes in mobile ad hoc network communicate with each other through wireless multi-hop links. When a node wants to send data to another node, it uses some routing protocol to find the path. In on-demand routing protoco...
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Data Grid is one of key factors to build up large-scale dataset storage system and providing high performance computing capacity, by connecting distributed resources in the Grid. One major challenge in data grids is h...
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ISBN:
(纸本)9780769526744
Data Grid is one of key factors to build up large-scale dataset storage system and providing high performance computing capacity, by connecting distributed resources in the Grid. One major challenge in data grids is how to provide good and timely access to huge amount of data in distributed locations, given the high latency of interconnection networks. Parallel downloading methods can improve download efficiency and performance, but the download process should have started from appropriate locations for such achievement. In this paper, we present the design of Location Selection System (LSS) for data grid environments, aiming at the problem of downloading locations. The proposed Location Selection System (LSS) not only provides users for setting their own priority strategies, but also provides two downloading modes, manual and automatic. The proposed techniques included as middleware over data grid platforms optimize Me downloads, by improving its efficiency and performance.
E-commerce and M-commerce can extend the marketing of a company or enterprise to unlimited region. Through Internet and WWW, the limitation of distance and region are broken for business behaviors. Agent technique is ...
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E-commerce and M-commerce can extend the marketing of a company or enterprise to unlimited region. Through Internet and WWW, the limitation of distance and region are broken for business behaviors. Agent technique is one of the important technologies developed to support the Internet applications. Especially, the Internet and WWW technologies broken the limitation of space, and the agent techniques solve the problems of temporality. Even if the users are off-line, the agents are still active in the world of computer network and play the roles that their users assigned. In this paper, a mechanism is proposed for E-marketplace based on agents and mobile agents. Some issues of research are discussed. They include the platform of mobile agents, the types and classifications of agents and mobile agents, behaviors of commerce transactions and processing models, negotiation mechanisms, etc. Moreover, they include the techniques of information retrieval, data mining, and knowledge base, etc. Based on the proposed mechanism of E-marketplace, the applications of E-commerce will be more effective, easier to develop, and more creating the marketing of business.
The study proposes a new simple output feedback adaptive tracking control scheme using neural network for a class of complicated modern agricultural mechanical systems that only the system output variables can be meas...
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Suicide is a serious issue around the world and is a leading cause of death in US. In the past 20 years, the suicide rate has seen a significant increase of 35%. With the rapid development of information technology, m...
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With the new era of the Internet of Things(IoT)technology,many devices with limited resources are *** devices are susceptible to a signicant number of new malware and other risks emerging *** of the most appropriate m...
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With the new era of the Internet of Things(IoT)technology,many devices with limited resources are *** devices are susceptible to a signicant number of new malware and other risks emerging *** of the most appropriate methods for securing those IoT applications is cryptographic algorithms,as cryptography masks information by eliminating the risk of collecting any meaningful information *** ensures that all data communications are private,accurate,authenticated,authorized,or *** conventional cryptographic algorithms have been developed specically for devices with limited resources;however,it turns out that such algorithms are not ideal for IoT restricted devices with their current ***,lightweight block ciphers are gaining popularity to meet the requirements of low-power and constrained devices.A new ultra-lightweight secret-key block-enciphering algorithm named“LBC-IoT”is proposed in this *** proposed block length is 32-bit supporting key lengths of 80-bit,and it is mainly based on the Feistel ***-efcient cryptographic features in“LBC-IoT”include the use of simple functions(shift,XOR)and small rigid substitution boxes(4-bit-S-boxes).Besides,it is immune to different types of attacks such as linear,differential,and side-channel as well as exible in terms of ***,LBC-IoT achieves reasonable performance in both hardware and software compared to other recent ***-IoT’s hardware implementation results are very promising(smallest ever area“548”GE)and competitive with today’s leading lightweight ***-IoT is also ideally suited for ultra-restricted devices such as RFID tags.
The medical community has more concern on lung cancer *** experts’physical segmentation of lung cancers is time-consuming and needs to be *** research study’s objective is to diagnose lung tumors at an early stage t...
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The medical community has more concern on lung cancer *** experts’physical segmentation of lung cancers is time-consuming and needs to be *** research study’s objective is to diagnose lung tumors at an early stage to extend the life of humans using deep learning ***-Aided Diagnostic(CAD)system aids in the diagnosis and shortens the time necessary to detect the tumor *** application of Deep Neural Networks(DNN)has also been exhibited as an excellent and effective method in classification and segmentation *** research aims to separate lung cancers from images of Magnetic Resonance Imaging(MRI)with threshold *** Honey hook process categorizes lung cancer based on characteristics retrieved using several *** this principle,the work presents a solution for image compression utilizing a Deep Wave Auto-Encoder(DWAE).The combination of the two approaches significantly reduces the overall size of the feature set required for any future classification process performed using *** proposed DWAE-DNN image classifier is applied to a lung imaging dataset with Radial Basis Function(RBF)*** study reported promising results with an accuracy of 97.34%,whereas using the Decision Tree(DT)classifier has an accuracy of 94.24%.The proposed approach(DWAE-DNN)is found to classify the images with an accuracy of 98.67%,either as malignant or normal *** contrast to the accuracy requirements,the work also uses the benchmark standards like specificity,sensitivity,and precision to evaluate the efficiency of the *** is found from an investigation that the DT classifier provides the maximum performance in the DWAE-DNN depending on the network’s performance on image testing,as shown by the data acquired by the categorizers themselves.
The right partner and high innovation speed are crucial for a successful research and development (R&D) alliance in the high-tech industry. Does homogeneity or heterogeneity between partners benefit innovation spe...
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Mobile phone is one of the most widely used today in mobile communications. This technology is very useful for communication but this raises several problems in a situation where silence is required such as in librari...
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Machine learning can extract desired knowledge and ease the development bottleneck in building expert systems. Among the proposed approaches, deriving classification rules from training examples is the most common. Gi...
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