In recent decades, most internet-connected devices were personal computers. However, everything is connecting to the Internet over time. Today, the Internet of Things (IoT) is expanding rapidly, including everything f...
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In recent decades, most internet-connected devices were personal computers. However, everything is connecting to the Internet over time. Today, the Internet of Things (IoT) is expanding rapidly, including everything from clothing to agricultural equipment. The Internet of Everything (IoE) is very complex and heterogeneous due to the independent development of its various sections. Hence, the coordination and management of its different equipment are challenging, and the energy consumption efficiency is very low, which is the bottleneck of battery -operated IoT equipment. So far, various methods have been proposed to reduce energy consumption in IoT devices. However, these methods are used independently and individually on a single IoT node, and none of them consider all objects in the IoT hierarchy together. Whereas the IoT network arises when various objects interact with each other. Therefore, focusing on energy consumption in a single node should be transformed into energy management at the whole network administrative level. In this paper, considering the IoT network features and the data exchange all over the network, a data manipulation method is proposed to reduce energy consumption and network traffic by decreasing the amount of data exchanged. Furthermore, we take advantage of Software -Defined Networking (SDN) to enhance the efficiency of this method by adapting our energy management decisions to the environmental conditions' dynamicity. Simulation results using real data workloads demonstrate that the proposed method decreases energy consumption by up to 38.1% without an SDN. This reduction is significantly improved by up to 80.0% when utilizing SDN. We also experimentally evaluate the proposed method by its hardware implementation in the real environment and illustrate that a maximum of only 1.3% difference is observed between the simulation results and the experiments, which indicates the consistency of the results.
Rapid access to and analysis of information constitutes an important element in the health care quality of an ambulatory surgical unit. We have developed a database for application to ambulatory anesthesia, based on c...
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Rapid access to and analysis of information constitutes an important element in the health care quality of an ambulatory surgical unit. We have developed a database for application to ambulatory anesthesia, based on commercially available software (Claris File Maker Pro 3.0, allowing full compatibility between Apple Macintosh and PC systems). Three integrated bases are used (preanesthesia, anesthesia and postanesthesia), and the different fields are automatically introduced by order. The design is open and allows for subsequent modifications; reports may be presented, and direct telephone communication is facilitated, along with net-based operations.
Secondary structure prediction of proteins has increasingly been a central research area in bioinformatics. In order to know which data encoding approach is more effective whiling predicting secondary structure using ...
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ISBN:
(纸本)9781424421138
Secondary structure prediction of proteins has increasingly been a central research area in bioinformatics. In order to know which data encoding approach is more effective whiling predicting secondary structure using SVM, five approaches: ENCOrth, ENCFive, ENCCodBas, ENCCodExt and ENCProf are discussed in this paper. The results of data encoding are used as input of SVM. By performing ENCProf approach, the accuracy of Q3 can be improved 19.4%similar to 23.9% more than the other four approaches.
In 2019, at the World Economic Forum, DNA data storage was indicated as one of the breakthroughs expected to radically impact the global socio-economic order. Indeed, dry DNA is a relatively stable substance and an ex...
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In 2019, at the World Economic Forum, DNA data storage was indicated as one of the breakthroughs expected to radically impact the global socio-economic order. Indeed, dry DNA is a relatively stable substance and an extremely capacious information carrier. One gram of DNA can hold up to 455 exabytes, provided that one nucleotide encodes two bits of information. In this critical review, the main attention is paid to nucleinography, meaning the conversion of digital data into nucleotide sequences. The evolution and diversity of approaches intended for encodingdata with nucleotides are demonstrated. The most noticeable examples of storing minor as well as considerable quantities of non-biological information in DNA are given. Some issues of DNA data storage are also reported.
With the development of Internet technology, human information data grows by a huge amount. Traditional data storage media are no longer suitable for large amounts of data storage due to their inherent shortcomings, s...
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With the development of Internet technology, human information data grows by a huge amount. Traditional data storage media are no longer suitable for large amounts of data storage due to their inherent shortcomings, such as high power consumption, large physical size, and short storage life. DNA information storage, on the other hand, can overcome these shortcomings to a certain extent. This paper introduces the process and mechanism of DNA storage, such as the DNA synthesis method, DNA coding, DNA preservation and sequencing,the history of DNA storage, its defects, and shortcomings. This article introduces the principles and mechanisms of DNA storage, including DNA synthesis method, data storage, and DNA preservation, as well as the history of DNA storage and its shortcomings and prospects for improvement, using the comparison of traditional storage methods and DNA storage methods as an import cut.
Main memory (DRAM) consumes as much as half of the total system power in a computer today, due to the increasing demand for memory capacity and bandwidth. There is a growing need to understand and analyze DRAM power c...
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ISBN:
(纸本)9781450358460
Main memory (DRAM) consumes as much as half of the total system power in a computer today, due to the increasing demand for memory capacity and bandwidth. There is a growing need to understand and analyze DRAM power consumption, which can be used to research new DRAM architectures and systems that consume less power. A major obstacle against such research is the lack of detailed and accurate information on the power consumption behavior of modern DRAM devices. Researchers have long relied on DRAM power models that are predominantly based off of a set of standardized current measurements provided by DRAM vendors, called IDD values. Unfortunately, we find that state-of-the-art DRAM power models are often highly inaccurate when compared with the real power consumed by DRAM. This is because existing DRAM power models (1) are based off of the worst-case power consumption of devices, as vendor specifications list the current consumed by the most power-hungry device sold; (2) do not capture variations in DRAM power consumption due to different data value patterns; and (3) do not account for any variation across different devices or within a device.
As a large amount of users are now using the short message service(SMS) for communication,the demand for security is growing much stronger than ever *** notification encrypted with traditional encrypt mechanism can be...
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ISBN:
(纸本)9781510805750
As a large amount of users are now using the short message service(SMS) for communication,the demand for security is growing much stronger than ever *** notification encrypted with traditional encrypt mechanism can be transported via SMS only if the encrypted message is encoded into text *** are still many defects on existing data encoding mechanism in terms of *** paper provides a lightweight encoding mechanism for encrypted short message based on UCS-2 Chinese character set which has a lower data extension rate than commonly used encoding *** for functionality and efficiency proves the new mechanism improves the performance for user notification transmission via SMS on mobile device in power grid system.
For the real-time information communication of fuze and fire control system, a wire link setting technology is adopted to realize the dual-direction quick transmission of information between setting system and fuz...
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ISBN:
(纸本)9781424470815;9780769540474
For the real-time information communication of fuze and fire control system, a wire link setting technology is adopted to realize the dual-direction quick transmission of information between setting system and fuze circuit. In order to reduce energy consumption of the fuze circuit during the information feedback process, a setting system loop is designed based on the load modulation technology with the function of information feedback through the analysis of setting system equivalent circuit. The data encoding format and the form of a frame data .etc are also discussed here. Finally, experiments are carried on to verify the feasibility and the reliability of the program.
Secondary structure prediction of proteins has increasingly been a central research area in bioinformatics. In order to know which data encoding approach is more effective whiling predicting secondary structure using ...
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Secondary structure prediction of proteins has increasingly been a central research area in bioinformatics. In order to know which data encoding approach is more effective whiling predicting secondary structure using SVM, five approaches: ENCOrth, ENCFive, ENCCodBas, ENCCodExt and ENCProf are discussed in this paper. The results of data encoding are used as input of SVM. By performing ENCProf approach, the accuracy of Q3 can be improved 19.4%~23.9% more than the other four approaches.
Cloud and distributed storage applications require processing of large fragments of data. This poses memory, delay, and processing speed challenges for systems using erasure codes to reduce the cost of storage and/or ...
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ISBN:
(纸本)9783800749485
Cloud and distributed storage applications require processing of large fragments of data. This poses memory, delay, and processing speed challenges for systems using erasure codes to reduce the cost of storage and/or increase the reliability of the system. To address these, this paper proposes and deploys designs that exploit current multi-threading capabilities of micro-processors to accelerate the encoding and decoding process of erasure codes, focusing on the case of Random Linear Network Coding (RLNC). More specifically, we propose a strategy for parallel computation based on splitting symbols into significantly smaller fragments and reordering data to speed up computation and decreasing the potential for thread blocking. We implement the strategy in C++ and carry out benchmark experiments and compare them with the single threaded state-of-the-art block RLNC encoders. We show a reduction of processing time by a factor of three by using our strategies for files of 32 MB or more as well as reducing memory usage drastically in the system. We also show that our approach provides a better scaling than the single-threaded option when increasing the number of fragments that a file is broken into. In other words, distributed storage systems can split files or data into a larger number of fragments without experiencing a speed penalty.
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