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检索条件"任意字段=17th International Conference on Distributed Computing and Intelligent Technology"

共 4256 条记录，以下是171-180 订阅

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Large Scale Global Optimization Algorithms for IoT Networks: A Comparative Study 17

Large Scale Global Optimization Algorithms for IoT Networks:...

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17th Annual IEEE international conference on distributed computing in Sensor Systems (IEEE DCOSS)

作者： Goudos, Sotirios K. Boursianis, Achilles D. Mohamed, Ali Wagdy Wan, Shaohua Sarigiannidis, Panagiotis Karagiannidis, George K. Suganthan, Ponnuthurai N. Aristotle Univ Thessaloniki Sch Phys ELEDIA AUTH Thessaloniki Greece Cairo Univ Fac Grad Studies Stat Res Operat Res Dept Giza Egypt Nile Univ Wireless Intelligent Networks Ctr WINC Sch Engn & Appl Sci Giza Egypt Zhongnan Univ Econ & Law Sch Informat & Safety Engn Wuhan Peoples R China Univ Western Macedonia Dept Informat & Telecommun Engn Kozani Greece Aristotle Univ Thessaloniki Sch Elect & Comp Engn Thessaloniki Greece Nanyang Technol Univ Sch Elect Elect Engn Singapore Singapore

ISBN: (纸本)9781665439299

the advent of Internet of things (IoT) has bring a new era in communication technology by expanding the current inter-networking services and enabling the machine-to-machine communication. IoT massive deployments will create the problem of optimal power allocation. the objective of the optimization problem is to obtain a feasible solution that minimizes the total power consumption of the WSN, when the error probability at the fusion center meets certain criteria. this work studies the optimization of a wireless sensor network (WNS) at higher dimensions by focusing to the power allocation of decentralized detection. More specifically, we apply and compare four algorithms designed to tackle Large scale global optimization (LSGO) problems. these are the memetic linear population size reduction and semi-parameter adaptation (MLSHADE-SPA), the contribution-based cooperative coevolution recursive differential grouping (CBCC-RDG3), the differential grouping with spectral clustering-differential evolution cooperative coevolution (DGSC-DECC), and the enhanced adaptive differential evolution (EADE). To the best of the authors knowledge, this is the first time that LSGO algorithms are applied to the optimal power allocation problem in IoT networks. We evaluate the algorithms performance in several different cases by applying them in cases with 300, 600 and 800 dimensions.

关键词： Internet of things optimal power allocation wireless sensor network large scale global optimization

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A study on document classification using multiple distributed representations 17

A study on document classification using multiple distribute...

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17th Joint World Congress of international Fuzzy Systems Association and 9th international conference on Soft computing and intelligent Systems, IFSA-SCIS 2017

作者： Takuwa, Koji Yoshikawa, Tomohiro Jimenez, Felix Furuhashi, Takeshi Nagoya University Japan

ISBN: (纸本)9781509049172

Document classification is an essential task in digital society. In document classification, it is important how to represent a document. Topical document classification methods represent a document as Bag-of-Words (BOW). It uses only the number of occurrences of each word, so it ignores the semantic meaning of words. Recent years, document classification methods using Word2Vec are proposed and got much attention. Word2Vec is a tool for learning semantic-syntactic relationship among words as word vectors. the word vectors are called distributed representation. the document classification methods using Word2Vec represent a document as the centroid of word vectors in a document. It uses only semantic meaning of each word, so it ignores the number of occurrences of words. In this paper, we propose a new document classification method combining BOW and multiple distributed representations. Different corpus has different words and phrases, so each distributed representation learned from each corpus is expected to have different semantic meaning. © 2017 IEEE.

关键词： Semantics

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Leveraging Cross-technology Broadcast Communication to build Gateway-Free Smart Homes 17

Leveraging Cross-Technology Broadcast Communication to build...

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17th Annual IEEE international conference on distributed computing in Sensor Systems (IEEE DCOSS)

作者： Brunner, Hannah Hofmann, Rainer Schuss, Markus Link, Jakob Hollick, Matthias Boano, Carlo Alberto Roemer, Kay Graz Univ Technol Inst Tech Informat Graz Austria Tech Univ Darmstadt Secure Mobile Networking Lab Darmstadt Germany

ISBN: (纸本)9781665439299

Despite the growing interest in cross-technology communication, its application to real-world systems is still limited, as existing schemes are mostly unidirectional and technology-specific. the lack of generic solutions as well as the complexity of their integration reduces the applicability in a broader scope. In this paper, we propose a solution to augment Wi-Fi, BLE, and ZigBee devices with the ability to transmit and receive cross-technology broadcast frames alongside their existing functionality. After experimentally evaluating the performance of our solution on a variety of hardware platforms, we leverage it to build a gateway-free smart home, where a smartphone can simultaneously control heterogeneous smart objects. the smart objects, which include an off-the-shelf ZigBee light bulb and a BLE-enabled door lock from different vendors, perform cross-technology communication while retaining their original functionality and can maintain duty-cycled operations.

关键词： Cross-technology communication IoT Nexmon Smart door lock Smart light bulb BLE IEEE 802.15.4 Wi-Fi ZigBee X-Burst Broadcom bcm43 Raspberry Pi Nexus 6P

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Fault-Tolerant Architecture Design for Blockchain-Based Electronics Voting System 17

Fault-Tolerant Architecture Design for Blockchain-Based Elec...

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17th international Joint conference on Computer Science and Software Engineering (JCSSE)

作者： Chaisawat, Siriboon Vorakulpipat, Chalee Natl Elect & Comp Technol Ctr Pathum Thani Thailand

ISBN: (纸本)9781728161679

With an emergence of distributed ledger technology, decentralization and integrity in information storage offer an opportunity to preserve data in electronic voting systems. An inevitable challenge in e-voting system implementation is the tradeoff between system security and generality in design. Leveraging container technology along with blockchain technology, this paper proposes a system design architecture to deliver data security and agility in system integration. the design was further analyzed and assessed by measuring the utilization of computing resources and conducting performance test as to validate that the aforementioned requirements were met.

关键词： blockchain e-voting container technology

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Smart Tourism Scenic Spot Platform Based on 5G Internet of things Virtual Reality technology 17

Smart Tourism Scenic Spot Platform Based on 5G Internet of T...

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17th IEEE international Wireless Communications and Mobile computing conference (IEEE IWCMC)

作者： Chen, Peilin China Univ Lab Relat Beijing 100048 Peoples R China

ISBN: (纸本)9781728186160

the continuous development of tourism and the gradual improvement of information technology gave birth to the concept of smart tourism. More and more scenic spots have carried out the construction of smart tourism projects. this paper mainly studies the application of intelligent scenic spot platform based on 5G Internet of things virtual reality technology. Firstly, the grey correlation analysis is used to sort out the related factors, and then the grey correlation analysis is used to sort out the related factors. then the passenger flow is predicted according to the relevant factors. the B/S structure is adopted for the navigation system, which is installed and deployed to the tourist service center, exhibition hall and important scenic spots. the data shows that when the number of request users is 200, the system access performance gain can reach 4 times and 2 times respectively. the results show that 5g Internet of things and virtual reality technology greatly improve the personalized service level of smart tourism scenic spots.

关键词： 5G internet of things virtual reality technology smart tourist attraction platform data mining

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Evaluation of Mental Workload for a Newly-Appointed Pilot Using Salivary NO₃-Concentration and LF/HF Values, Compared with Port-Coordinators 17

Evaluation of Mental Workload for a Newly-Appointed Pilot Us...

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Joint 17th World Congress of international-Fuzzy-Systems-Association / 9th international conference on Soft computing and intelligent Systems (IFSA-SCIS)

作者： Kitamura, Kenichi Murai, Koji Wakida, Shin-ichi Kobe Univ Maritime Sci Kobe Hyogo Japan Natl Inst Adv Ind Sci & Technol Osaka Japan

ISBN: (纸本)9781509049172

this paper aims to acknowledge the trend of mental workload of a newly-appointed marine pilot compared with that of a veteran pilot, using the physiological index, salivary NO3- and LF/HF values, and confirm the effectiveness of salivary NO3-as a physiological index. this paper also aims to confirm that the pilots and port-coordinators' trends of mental workload respond risky situations including collision with other vessels in their duty. Pilots handle vessels for the captain in a specific port or harbor and pilots contribute the safety of the sea area. that is why to verify pilots' mental workload is essential for the purpose of preventing the risky situations. On the other hand, port-coordinators play a role of sea-safe controller at a port, and their advices by wireless radio support pilot's duty. To confirm and verify port-coordinators' mental workload is also essential. From this experiment we confirm the salivary NO3- and LF/HF values are useful to evaluation pilots' mental workload, and are also useful for a newly-appointed pilot's drill on board.

关键词： LF/HF value mental workload pilot port-coordinator physiological index salivary NO3-

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Management Decision by Combination Two-level DEA and Kernel-based Mechanism 17

Management Decision by Combination Two-level DEA and Kernel-...

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Joint 17th World Congress of international-Fuzzy-Systems-Association / 9th international conference on Soft computing and intelligent Systems (IFSA-SCIS)

作者： Chen, Fu-Hsiang Zeng, Jhih-Hong Hsu, Ming-Fu Lin, Sin-Jin Chinese Culture Univ Dept Accounting 55 Hwa Kang Rd Taipei 11114 Taiwan Natl Sun Yat Sen Univ Dept Finance 70 Lienhai Rd Kaohsiung 80424 Taiwan Chinese Culture Univ English Program Global Business 55 Hwa Kang Rd Taipei Taiwan

ISBN: (纸本)9781509049172

this study proposed a novel hybrid mechanism for corporate operating assessment and then establishes a fusion architecture that integrates two-level data envelopment analysis (two-level DEA), incremental filter wrapper feature selection technique (IFWFS), and fuzzy support vector machine (FSVM) for performance forecasting. the two-level DEA is executed to deal with the problem encountered by one-level DEA (i.e., original DEA) and further enhances its discriminant ability. Sequentially, the IFWFS is applied to determine the most essential feature subsets as well as decreases the calculation complexities and storage requirements. the selected important features were fed into FSVM (one of the kernel-based mechanisms) to construct the forecasting model. the proposed model has been examined by real-life cases and is a promising alternative for corporate risk management. the decision makers can take this mechanism as a decision support tool to modify their investment portfolios as well as increase their profit margin under this fluctuating business atmosphere.

关键词： Decision making Risk management Forecasting Data envelopment analysis

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IVOVO: A new Interval-Valued One-Vs-One approach for multi-class classification problems 17

IVOVO: A new Interval-Valued One-Vs-One approach for multi-c...

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Joint 17th World Congress of international-Fuzzy-Systems-Association / 9th international conference on Soft computing and intelligent Systems (IFSA-SCIS)

作者： Elkano, Mikel Galar, Mikel Sanz, Jose Lucca, Giancarlo Bustince, Humberto Univ Publ Navarra Dept Automat & Computat Campus Arrosadia S-N Pamplona 31006 Spain Univ Publ Navarra Inst Smart Cities Campus Arrosadia S-N Pamplona 31006 Spain

ISBN: (纸本)9781509049172

Decomposition strategies have been shown to be a successful methodology to tackle multi-class classification problems. Among them, One-vs-One approach is a commonly used technique that consists in dividing the original multi-class problem into easier-to-solve binary sub-problems considering each possible pair of classes. However, this methodology is limited to those classifiers returning a single real value for each prediction. In this work, we present a new One-vs-One approach that is able to deal with interval-valued outputs. In order to achieve this goal, we propose applying a normalization method for intervals along with the corresponding extension of three different aggregation strategies: voting, weighted voting, and WinWV. the experimental results show the suitability of the normalization method and the improvement obtained by Onevs- One with respect to a state-of-the-art interval-valued Fuzzy Rule-Based Classification System (IVTURS).

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks Signal processing algorithms

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From Desktop to Cloud: Collaborative Authoring for intelligent Tutoring 9th

From Desktop to Cloud: Collaborative Authoring for Intellige...

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9th international conference on Augmented Cognition (AC) Held as Part of 17th international conference on Human-Computer Interaction (HCI international)

作者： Ragusa, Charlie Dignitas Technol LLC Orlando FL 32817 USA

ISBN: (纸本)9783319208169;9783319208152

Authoring of computer-based instruction employing intelligent tutoring (IT) presents many challenges. Chief among them is that for non-trivial domains, the knowledge and skills required to author maximally effective instruction often do not reside in a single individual. More often the best outcome is achieved by collaboration among some combination of instructional designers, subject matter experts, psychologists, traditional educators, and in some cases, software engineers. To meet this challenge, well designed collaborative authoring systems are needed. Cloud computing technologies, such as Platform as a Service (PaaS) and Infrastructure as a Service (IaaS), offer new possibilities for the construction of distributed authoring systems. In this paper we discuss several high-level design considerations for developing collaborative IT authoring systems, focusing on extending the capabilities of the existing Generalized intelligent Framework for Tutoring (GIFT).

关键词： Collaborative authoring intelligent Tutoring Systems Cloud computing

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Dynamically reconfigurable architecture for high-throughput hash function in key-value store 21

Dynamically reconfigurable architecture for high-throughput ...

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21st IEEE international conference on High Performance computing and Communications, 17th IEEE international conference on Smart City and 5th IEEE international conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Liu, Ke Zhao, Mengying Ju, Lei Jia, Zhiping School of Computer Science and Technology Shandong University China School of Software Shandong University China

ISBN: (纸本)9781728120584

distributed in-memory key-value stores (KVSs), such as Redis and Memcached, are widely deployed in modern data centers. In Redis, the throughput of Murmurhash2 is important to the performance of the whole KVS, and further affects the whole server. In this paper, we propose a high-performance scalable architecture for Murmurhash2 to improve data locality and reduce the latency, and deploy partial reconfiguration scheme to maximize the ratio of performance/area. Experiment results on Xilinx SOC platform demonstrate that the proposed architecture can improve the throughput by approximate 1.4x and achieve up to 5.3x performance/watt gain compared with the typical Intel platform. © 2019 IEEE.

关键词： Hash functions

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