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Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014)

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A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (15 March 2014) | Viewed by 68996

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Prof. Dr. Hsiung-Cheng Lin

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Guest Editor

Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung, Taiwan
Interests: Internet of Things and microprocessor system integration; artificial intelligence and image integration applications; mechatronic and system integration applications; sensing and automatic measurement
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Prof. Dr. Wen-Yuan Chen

E-Mail Website
Guest Editor

Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung, Taiwan
Interests: image processing; multi-media compressed technique; multi-media communication; computer programming; and computer game design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

IS3C 2014 is the International Symposium on Computer, Consumer and Control sponsored by IEEE and National Chin-Yi University of Technology. This conference offers a great opportunity for scientists, engineers, and practitioners to present the latest research results, ideas, developments, and applications, as well as to facilitate interactions between scholars and practitioners. We cordially invite you to attend the IS3C 2014, which will be held in Taichung City, Taiwan on June 10-12, 2014. As suggested by the name of the conference, the theme of this conference covers advanced multimedia, computer, telecommunication, semiconductor, consumer electronics, renewable energy, systems and control, and digital signal processing. Original high-quality papers related to this theme are especially solicited, including theories, methodologies, and applications in Computing, Consumer and Control. All accepted papers will be included in IS3C 2014 Proceedings, published IEEE Xplore with CD-ROM , and will be applied for EI Compendex/ISTP index.

Original papers describing current research in the following themes are invited in

TRACK 1 - COMPUTER

Computer Networks, Mobile Computing, and Web Technologies
Digital Content, Information Security, and Web Service
Software Engineering, SOA, and Databases
Artificial Intelligence, Knowledge Discovery, and Fuzzy Systems
Digital Right and Watermarking

TRACK 2 - MULTIMEDIA

Hardware and Software for Multimedia Systems
Virtual Reality, AR, MR, 3D Processing and Application
Signal, Audio, Speech Analysis and Processing
Image Processing and Applications
Computer Vision, Motion, Tracking Algorithms and Applications

TRACK 3 - TELECOMMUNICATION

Wireless and Mobile Communication
High Frequency and Microwave Circuits
RFID Technology and Applications
Internet Applications
Radio & Microwave Engineering

TRACK 4 - SEMICONDUCTOR

Systems on Chip
Application of Microelectronics
Device Modeling, Simulation and Design
Material and New Fabrication Facilities Technologies
Nano Technology

TRACK 5 - CONSUMER ELECTRONICS

Human-Machine Interfaces
Robots
Computer and Microprocessor-Based Control
Automotive Electronics
Display System Design and Implementation

TRACK 6 - RENEWABLE ENERGY

Renewable Energy Technologies
Photovoltaic and Wind Energy Technologies
Power Conversions
Applications of Power Electronics in Power Systems
Smart Grid Systems

TRACK 7 - SYSTEMS AND CONTROL

System Modeling and Simulation, Dynamics and Control
Intelligent and Learning Control
Robotics and Mechatronics
Robust and Nonlinear Control
Biomedical Systems and Control

TRACK 8 - DIGITAL SIGNAL PROCESSING

Digital Signal Processing Theory and Methods
Statistical Signal Processing and Applications
Biomedical and Biological Signal Processing
Neural Networks, Fuzzy Systems, Expert Systems, Genetic Algorithms and Data Fusion for Signal Processing
Embedded Systems for Signal Processing

Website: http://is3c2014.ncuteecs.org/index.php

Prof. Dr. Hsiung-Cheng Lin
Prof. Dr. Wen-Yuan Chen
Guest Editors

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Published Papers (10 papers)

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1234 KiB

Open AccessArticle

An Adaptive Supervisory Sliding Fuzzy Cerebellar Model Articulation Controller for Sensorless Vector-Controlled Induction Motor Drive Systems

by Shun-Yuan Wang, Chwan-Lu Tseng, Shou-Chuang Lin, Chun-Jung Chiu and Jen-Hsiang Chou

Sensors 2015, 15(4), 7323-7348; https://doi.org/10.3390/s150407323 - 25 Mar 2015

Cited by 10 | Viewed by 6991

Abstract

This paper presents the implementation of an adaptive supervisory sliding fuzzy cerebellar model articulation controller (FCMAC) in the speed sensorless vector control of an induction motor (IM) drive system. The proposed adaptive supervisory sliding FCMAC comprised a supervisory controller, integral sliding surface, and an adaptive FCMAC. The integral sliding surface was employed to eliminate steady-state errors and enhance the responsiveness of the system. The adaptive FCMAC incorporated an FCMAC with a compensating controller to perform a desired control action. The proposed controller was derived using the Lyapunov approach, which guarantees learning-error convergence. The implementation of three intelligent control schemes—the adaptive supervisory sliding FCMAC, adaptive sliding FCMAC, and adaptive sliding CMAC—were experimentally investigated under various conditions in a realistic sensorless vector-controlled IM drive system. The root mean square error (RMSE) was used as a performance index to evaluate the experimental results of each control scheme. The analysis results indicated that the proposed adaptive supervisory sliding FCMAC substantially improved the system performance compared with the other control schemes. Full article

(This article belongs to the Special Issue Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014))

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2723 KiB

Open AccessArticle

Active Disaster Response System for a Smart Building

by Chun-Yen Lin, Edward T.-H Chu, Lun-Wei Ku and Jane W. S. Liu

Sensors 2014, 14(9), 17451-17470; https://doi.org/10.3390/s140917451 - 18 Sep 2014

Cited by 39 | Viewed by 10340

Abstract

Disaster warning and surveillance systems have been widely applied to help the public be aware of an emergency. However, existing warning systems are unable to cooperate with household appliances or embedded controllers; that is, they cannot provide enough time for preparedness and evacuation, especially for disasters like earthquakes. In addition, the existing warning and surveillance systems are not responsible for collecting sufficient information inside a building for relief workers to conduct a proper rescue action after a disaster happens. In this paper, we describe the design and implementation of a proof of concept prototype, named the active disaster response system (ADRS), which automatically performs emergency tasks when an earthquake happens. ADRS can interpret Common Alerting Protocol (CAP) messages, published by an official agency, and actuate embedded controllers to perform emergency tasks to respond to the alerts. Examples of emergency tasks include opening doors and windows and cutting off power lines and gas valves. In addition, ADRS can maintain a temporary network by utilizing the embedded controllers; hence, victims trapped inside a building are still able to post emergency messages if the original network is disconnected. We conducted a field trial to evaluate the effectiveness of ADRS after an earthquake happened. Our results show that compared to manually operating emergency tasks, ADRS can reduce the operation time by up to 15 s, which is long enough for people to get under sturdy furniture, or to evacuate from the third floor to the first floor, or to run more than 100 m. Full article

(This article belongs to the Special Issue Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014))

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870 KiB

Open AccessArticle

A Trustworthy Key Generation Prototype Based on DDR3 PUF for Wireless Sensor Networks

by Wenchao Liu, Zhenhua Zhang, Miaoxin Li and Zhenglin Liu

Sensors 2014, 14(7), 11542-11556; https://doi.org/10.3390/s140711542 - 30 Jun 2014

Cited by 16 | Viewed by 6634

Abstract

Secret key leakage in wireless sensor networks (WSNs) is a high security risk especially when sensor nodes are deployed in hostile environment and physically accessible to attackers. With nowadays semi/fully-invasive attack techniques attackers can directly derive the cryptographic key from non-volatile memory (NVM) storage. Physically Unclonable Function (PUF) is a promising technology to resist node capture attacks, and it also provides a low cost and tamper-resistant key provisioning solution. In this paper, we designed a PUF based on double-data-rate SDRAM Type 3 (DDR3) memory by exploring its memory decay characteristics. We also described a prototype of 128-bit key generation based on DDR3 PUF with integrated fuzzy extractor. Due to the wide adoption of DDR3 memory in WSN, our proposed DDR3 PUF technology with high security levels and no required hardware changes is suitable for a wide range of WSN applications. Full article

(This article belongs to the Special Issue Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014))

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689 KiB

Open AccessArticle

Android Platform Based Smartphones for a Logistical Remote Association Repair Framework

by Shao-Fan Lien, Chun-Chieh Wang, Juhng-Perng Su, Hong-Ming Chen and Chein-Hsing Wu

Sensors 2014, 14(7), 11278-11292; https://doi.org/10.3390/s140711278 - 25 Jun 2014

Cited by 3 | Viewed by 6257

Abstract

The maintenance of large-scale systems is an important issue for logistics support planning. In this paper, we developed a Logistical Remote Association Repair Framework (LRARF) to aid repairmen in keeping the system available. LRARF includes four subsystems: smart mobile phones, a Database Management System (DBMS), a Maintenance Support Center (MSC) and wireless networks. The repairman uses smart mobile phones to capture QR-codes and the images of faulty circuit boards. The captured QR-codes and images are transmitted to the DBMS so the invalid modules can be recognized via the proposed algorithm. In this paper, the Linear Projective Transform (LPT) is employed for fast QR-code calibration. Moreover, the ANFIS-based data mining system is used for module identification and searching automatically for the maintenance manual corresponding to the invalid modules. The inputs of the ANFIS-based data mining system are the QR-codes and image features; the output is the module ID. DBMS also transmits the maintenance manual back to the maintenance staff. If modules are not recognizable, the repairmen and center engineers can obtain the relevant information about the invalid modules through live video. The experimental results validate the applicability of the Android-based platform in the recognition of invalid modules. In addition, the live video can also be recorded synchronously on the MSC for later use. Full article

(This article belongs to the Special Issue Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014))

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5484 KiB

Open AccessArticle

A Distributed Air Index Based on Maximum Boundary Rectangle over Grid-Cells for Wireless Non-Flat Spatial Data Broadcast

by Seokjin Im and JinTak Choi

Sensors 2014, 14(6), 10619-10643; https://doi.org/10.3390/s140610619 - 17 Jun 2014

Cited by 1 | Viewed by 4841

Abstract

In the pervasive computing environment using smart devices equipped with various sensors, a wireless data broadcasting system for spatial data items is a natural way to efficiently provide a location dependent information service, regardless of the number of clients. A non-flat wireless broadcast system can support the clients in accessing quickly their preferred data items by disseminating the preferred data items more frequently than regular data on the wireless channel. To efficiently support the processing of spatial window queries in a non-flat wireless data broadcasting system, we propose a distributed air index based on a maximum boundary rectangle (MaxBR) over grid-cells (abbreviated DAIM), which uses MaxBRs for filtering out hot data items on the wireless channel. Unlike the existing index that repeats regular data items in close proximity to hot items at same frequency as hot data items in a broadcast cycle, DAIM makes it possible to repeat only hot data items in a cycle and reduces the length of the broadcast cycle. Consequently, DAIM helps the clients access the desired items quickly, improves the access time, and reduces energy consumption. In addition, a MaxBR helps the clients decide whether they have to access regular data items or not. Simulation studies show the proposed DAIM outperforms existing schemes with respect to the access time and energy consumption. Full article

(This article belongs to the Special Issue Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014))

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1198 KiB

Open AccessArticle

Railway Crossing Risk Area Detection Using Linear Regression and Terrain Drop Compensation Techniques

by Wen-Yuan Chen, Mei Wang and Zhou-Xing Fu

Sensors 2014, 14(6), 10578-10597; https://doi.org/10.3390/s140610578 - 16 Jun 2014

Cited by 7 | Viewed by 5949

Abstract

Most railway accidents happen at railway crossings. Therefore, how to detect humans or objects present in the risk area of a railway crossing and thus prevent accidents are important tasks. In this paper, three strategies are used to detect the risk area of a railway crossing: (1) we use a terrain drop compensation (TDC) technique to solve the problem of the concavity of railway crossings; (2) we use a linear regression technique to predict the position and length of an object from image processing; (3) we have developed a novel strategy called calculating local maximum Y-coordinate object points (CLMYOP) to obtain the ground points of the object. In addition, image preprocessing is also applied to filter out the noise and successfully improve the object detection. From the experimental results, it is demonstrated that our scheme is an effective and corrective method for the detection of railway crossing risk areas. Full article

(This article belongs to the Special Issue Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014))

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596 KiB

Open AccessArticle

Robust Sensing of Approaching Vehicles Relying on Acoustic Cues

by Mitsunori Mizumachi, Atsunobu Kaminuma, Nobutaka Ono and Shigeru Ando

Sensors 2014, 14(6), 9546-9561; https://doi.org/10.3390/s140609546 - 30 May 2014

Cited by 14 | Viewed by 6201

Abstract

The latest developments in automobile design have allowed them to be equipped with various sensing devices. Multiple sensors such as cameras and radar systems can be simultaneously used for active safety systems in order to overcome blind spots of individual sensors. This paper proposes a novel sensing technique for catching up and tracking an approaching vehicle relying on an acoustic cue. First, it is necessary to extract a robust spatial feature from noisy acoustical observations. In this paper, the spatio-temporal gradient method is employed for the feature extraction. Then, the spatial feature is filtered out through sequential state estimation. A particle filter is employed to cope with a highly non-linear problem. Feasibility of the proposed method has been confirmed with real acoustical observations, which are obtained by microphones outside a cruising vehicle. Full article

(This article belongs to the Special Issue Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014))

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1289 KiB

Open AccessArticle

An Optimal Current Observer for Predictive Current Controlled Buck DC-DC Converters

by Run Min, Chen Chen, Xiaodong Zhang, Xuecheng Zou, Qiaoling Tong and Qiao Zhang

Sensors 2014, 14(5), 8851-8868; https://doi.org/10.3390/s140508851 - 19 May 2014

Cited by 8 | Viewed by 7362

Abstract

In digital current mode controlled DC-DC converters, conventional current sensors might not provide isolation at a minimized price, power loss and size. Therefore, a current observer which can be realized based on the digital circuit itself, is a possible substitute. However, the observed current may diverge due to the parasitic resistors and the forward conduction voltage of the diode. Moreover, the divergence of the observed current will cause steady state errors in the output voltage. In this paper, an optimal current observer is proposed. It achieves the highest observation accuracy by compensating for all the known parasitic parameters. By employing the optimal current observer-based predictive current controller, a buck converter is implemented. The converter has a convergently and accurately observed inductor current, and shows preferable transient response than the conventional voltage mode controlled converter. Besides, costs, power loss and size are minimized since the strategy requires no additional hardware for current sensing. The effectiveness of the proposed optimal current observer is demonstrated experimentally. Full article

(This article belongs to the Special Issue Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014))

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397 KiB

Open AccessArticle

Cooperative Spectrum Sensing Schemes with the Interference Constraint in Cognitive Radio Networks

by Tri-Nhu Do and Beongku An

Sensors 2014, 14(5), 8037-8056; https://doi.org/10.3390/s140508037 - 5 May 2014

Cited by 16 | Viewed by 5799

Abstract

In this paper, we propose cooperative spectrum sensing schemes, called decode-and-forward cooperative spectrum sensing (DF-CSS) scheme and amplify-and-forward cooperative spectrum sensing (AF-CSS) scheme, in cognitive radio networks. The main goals and features of the proposed cooperative spectrum sensing schemes are as follows: first, we solve the problem of high demand for bandwidth in a soft decision scheme using in our proposed schemes. Furthermore, the impact of transmission power of relaying users which is determined by the interference constraint on sensing performance of cooperative spectrum sensing schemes is also investigated. Second, we analyze the sensing performance of our proposed cooperative spectrum sensing schemes in terms of detection probability and interference probability, respectively. We take into account the interference caused by secondary user (SU) to primary user (PU) in the case that the transmission power of the relaying users exceeds a predefined interference constraint assigned by the primary user. The simulation results show that in cooperative spectrum sensing schemes the total sensing performance depends not only on the interference tolerance level, but also on the relay protocols used. We also prove that high transmission power of relaying users increases the interference between the secondary networks and the primary network. Full article

(This article belongs to the Special Issue Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014))

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1580 KiB

Open AccessArticle

The Enhanced Locating Performance of an Integrated Cross-Correlation and Genetic Algorithm for Radio Monitoring Systems

by Yao-Tang Chang, Chi-Lin Wu and Hsu-Chih Cheng

Sensors 2014, 14(4), 7541-7562; https://doi.org/10.3390/s140407541 - 24 Apr 2014

Cited by 6 | Viewed by 7800

Abstract

The rapid development of wireless broadband communication technology has affected the location accuracy of worldwide radio monitoring stations that employ time-difference-of-arrival (TDOA) location technology. In this study, TDOA-based location technology was implemented in Taiwan for the first time according to International Telecommunications Union Radiocommunication (ITU-R) recommendations regarding monitoring and location applications. To improve location accuracy, various scenarios, such as a three-dimensional environment (considering an unequal locating antenna configuration), were investigated. Subsequently, the proposed integrated cross-correlation and genetic algorithm was evaluated in the metropolitan area of Tainan. The results indicated that the location accuracy at a circular error probability of 50% was less than 60 m when a multipath effect was present in the area. Moreover, compared with hyperbolic algorithms that have been applied in conventional TDOA-based location systems, the proposed algorithm yielded 17-fold and 19-fold improvements in the mean difference when the location position of the interference station was favorable and unfavorable, respectively. Hence, the various forms of radio interference, such as low transmission power, burst and weak signals, and metropolitan interference, was proved to be easily identified, located, and removed. Full article

(This article belongs to the Special Issue Selected Papers from 2014 International Symposium on Computer, Consumer and Control (IS3C 2014))

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