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Lee C.-H.,National Taipei University of Technology | Lai Y.H.,Smart Network System Institute
2016 IEEE International Conference on Consumer Electronics, ICCE 2016 | Year: 2016

Energy management has become one urgent research issue. Regarding the home environment, an energy management cloud can collect home consumption usage and then supports remote control and schedule the status of home appliances. In order to increase the interoperability, this paper proposes a universal smart energy management gateway based on an open-source Internet of Things (IoT) platform called Iotivity. Therefore, the energy management cloud can be extended to monitor and manage Iotivity-compatible devices. © 2016 IEEE.


Zhang W.Y.,Zhejiang University of Finance and Economics | Hong W.-C.,Oriental Institute of Technology | Dong Y.,University of Sichuan | Tsai G.,Smart Network System Institute | And 2 more authors.
Energy | Year: 2012

The electric load forecasting is complicated, and it sometimes reveals cyclic changes due to cyclic economic activities or climate seasonal nature, such as hourly peak in a working day, weekly peak in a business week, and monthly peak in a demand planned year. Hybridization of support vector regression (SVR) with chaotic sequence and evolutionary algorithms has successfully been applied to improve forecasting accuracy, and to effectively avoid trapping in a local optimum. However, it has not been widely explored to employ SVR-based model to deal with cyclic electric load forecasting. This paper will firstly investigate the potentiality of a novel hybrid algorithm, namely chaotic genetic algorithm-simulated annealing algorithm (CGASA), with an SVR model to improve load forecasting accurate performance. In which, the proposed CGASA employs internal randomness of chaotic iterations to overcome premature local optimum. Secondly, the seasonal mechanism will then be applied to well adjust the cyclic load tendency. Finally, a numerical example from an existed reference is employed to compare the forecasting performance of the proposed SSVRCGASA model. The forecasting results show that the SSVRCGASA model yields more accurate forecasting results than ARIMA and TF-ε-SVR-SA models. © 2012 Elsevier Ltd.


Wang M.-H.,National Taiwan University | Chi P.-W.,National Taiwan University | Guo J.-W.,Smart Network System Institute | Lei C.-L.,National Taiwan University
Proceedings - IEEE INFOCOM | Year: 2016

Software-defined networking (SDN) is well-known of its programmable and centralized management mechanism of networks. The controller unit in SDN enables users to determine network behaviors by defining flow rules on programmable switches in SDN. In this paper, we briefly propose a novel concept of network storage systems. Unlike most network storage systems store files on hosts and access files through networks, we leverage the programmable ability of SDN to assemble switching fabric queues as a storage system. Users upload files and our system keeps the files as packets alive by looping them in our defined routes. Every time users want to retrieve their files, our system duplicates the desired packets and redirects them to users. © 2016 IEEE.


Kao S.-H.,National Cheng Kung University | Yang C.-W.,Smart Network System Institute | Hwang T.,National Cheng Kung University
Quantum Information Processing | Year: 2016

This paper proposes two new fault-tolerant controlled deterministic secure quantum communication (CDSQC) protocols based only on Einstein–Podolsky–Rosen (EPR) entangled states. The proposed protocols are designed to be robust against the collective-dephasing noise and the collective-rotation noise, respectively. Compared to the existing fault-tolerant controlled quantum communication protocols, the proposed protocols not only can do without a quantum channel between the receiver and the controller as the state-of-the-art protocols do, but also have the advantage that the number of quantum particles required in the CDSQC protocols is reduced owing to the use of the simplest entangled states. © 2016 Springer Science+Business Media New York


Lai C.-H.,Smart Network System Institute
Proceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011 | Year: 2011

In recent years, the gesture control technique has become a new developmental trend for many human-based electronics products. This technique let people can control these products more naturally, intuitively and conveniently. In this paper, a fast gesture recognition scheme is proposed to be an interface for the human-machine interaction (HMI) of systems. This paper presents some low-complexity algorithms and gestures to reduce the gesture recognition complexity and be more suitable for controlling real-time computer systems. Besides, this paper also implements a HMI interface for a telematic service system to valid the performance of the proposed scheme and to confirm the proposed is suitable to be used to develop a HMI of telematic service systems for the in-vehicle environment. The experimental results show that the proposed scheme can work well in a real-time service system. © 2011 IEEE.


Ma C.,Smart Network System Institute
Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012 | Year: 2012

A matrix algebra is presented for the linear complexity of periodic sequences over finite fields. An algorithm is developed to compute the rank of the circulant matrices and it can be viewed as a matrix formulation of Blackburn's algorithm. The rank-nullity property is shown precisely between the pseudocirculant matrices and the Hasse matrices. © 2012 IEEE.


Tang C.-J.,Tatung University | Dai M.-R.,Tatung University | Chuang C.-C.,Smart Network System Institute | Chiu Y.-S.,Smart Network System Institute | Lin W.S.,Smart Network System Institute
Future Generation Computer Systems | Year: 2014

This paper presents a load control method for small data centers, which are rarely studied although they account for more than 50% of all data centers. The method utilizes the data network and the electrical network to control power usage for participation in demand response (DR) programs, which are regarded as the killer applications of the emerging smart grid (SG). Traditional data center power management often directly manipulates energy usage, which may be ineffective or impractical for small data centers due to their limited resources. Both the SG and the data centers are considered to be the cyber-physical systems (CPSs). This article proposes an approach that performs the data center DR load management through the cyberspaces of the SG and the targeted data center. The proposed method instructs the workload dispatcher to select the best-suited algorithm when a DR event is issued. Additionally, this method also adjusts the temperature set-points of the air conditioners. The simulation result shows that this approach can achieve a 30% power reduction for DR.©2013 Published by Elsevier Ltd. All rights reserved.


Lin J.,National Cheng Kung University | Yang C.-W.,National Cheng Kung University | Tsai C.-W.,Smart Network System Institute | Hwang T.,National Cheng Kung University
International Journal of Theoretical Physics | Year: 2013

Recently, Li et al. [Phys. Rev. A 82(2):022303, 2010] presented two semi-quantum secret sharing (SQSS) protocols using Greenberger-Horne-Zeilinger-like states. The proposed schemes are quite practical because only the secret dealer needs to be equipped with advanced quantum devices such as quantum memory, whereas the other agents can merely perform classical operations to complete the secret sharing. However, the present study demonstrates the existence of a security pitfall in the eavesdropping check phase of both the schemes, which can lead to an intercept-resend attack and a Trojan horse attack on the two schemes by a dishonest agent, to determine the other agent's shadow and consequently derive the master key of the SQSS. This contradicts the security requirement of QSS. Fortunately, two possible solutions are proposed herein to eliminate this security pitfall. © 2012 Springer Science+Business Media, LLC.


Tsai C.-W.,Smart Network System Institute | Lin J.,Texas A&M University
International Journal of Theoretical Physics | Year: 2016

This work presents a strategy for constructing long-distance quantum communications among a number of remote users through collective-noise channel. With the assistance of semi-honest quantum certificate authorities (QCAs), the remote users can share a secret key through fault-tolerant entanglement swapping. The proposed protocol is feasible for large-scale distributed quantum networks with numerous users. Each pair of communicating parties only needs to establish the quantum channels and the classical authenticated channels with his/her local QCA. Thus, it enables any user to communicate freely without point-to-point pre-establishing any communication channels, which is efficient and feasible for practical environments. © 2016, Springer Science+Business Media New York.


Lai C.-H.,Smart Network System Institute
Imaging Science Journal | Year: 2013

This paper proposes a new colour image retrieval scheme using Z-scanning technique for content-based image retrieval (CBIR). In recent years, the CBIR is a popular research topic for image retrieval. This paper proposes a scheme which employs the Z-scanning technique to extract directional intensity features for measuring the similarity between query and database images. In the multiple channel images, each colour channel can be processed individually or combined into a grey channel Y. In order to extract the features by Z-scanning technique from all images, each channel of all images must be divided into several N6N blocks. In each block, F pairs of pixels are scanned by a 'Z' direction to obtain the texture features. Each colour channel can be obtained an M6M Z-scanning co-occurrence matrix (ZSCM) for storing the probability of each relationship of all closest blocks. At the similarity measure stage, the ZSCMs of query image and database images are compared to measure their similarity. The experimental results show that the proposed scheme is beneficial for image retrieval when the images include the same texture or object. On the other hand, the proposed scheme also can get better retrieval results and more efficiency than colour correlogram (CC) technique for colour texture images. Another technique uses motif co-occurrence matrix (MCM) as the feature in similarity measurement. The experimental results show the proposed ZSCM can get better retrieval results and higher recall and precision values than the CC and MCM techniques for public image databases. © RPS 2013.

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