Tzer-Long Chen, T. Hsiao, Shu-Chen Chen, Yu-Fang Chung, Yao-Min Huang, T. Chen
{"title":"Patrol management system applying RFID to petrochemical industry","authors":"Tzer-Long Chen, T. Hsiao, Shu-Chen Chen, Yu-Fang Chung, Yao-Min Huang, T. Chen","doi":"10.1109/TENCON.2013.6719046","DOIUrl":"https://doi.org/10.1109/TENCON.2013.6719046","url":null,"abstract":"A lot of manufacturers tend to enhance the management efficacy and reduce the management costs by investing large resources in the research and development of RFID. For petrochemical industry, an effective, reliable, and secure patrol management system is primary. Nevertheless, traditional patrol management focuses on labor patrol that the field staff master in the corrosion, leakage, and pipe aging of production equipment. Although equipment inspection and patrol items are scheduled every day, some problems still need to be overcome. After completing traditional patrol tasks, extra time and manpower are required for organizing the patrol records and filling them into electronic document. In the process, it is likely to key in wrong data because of the numerous patrol items. Apparently, without systematic management, supervisors and shift leaders can hardly find out data errors and analyze the abundant data for complete risk evaluation and process security improvement. An RFID-based patrol management system suitable for petrochemical industry is proposed in this study. The system corresponds to the field environment requirements and regulations for petrochemical plants, integrates operation procedure and information procedure, and evaluates and includes various dimensions and variables through interviews and technological analyses to enhance the process security. Active processing equipment monitoring could enhance the preventive maintenance efficiency and promote the production capacity and industrial competitiveness.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123370115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rungrote Kuawattanaphan, Teerawat Kumrai, P. Champrasert
{"title":"Wireless sensor nodes redeployment using a multiobjective optimization evolutionary algorithm","authors":"Rungrote Kuawattanaphan, Teerawat Kumrai, P. Champrasert","doi":"10.1109/TENCON.2013.6719022","DOIUrl":"https://doi.org/10.1109/TENCON.2013.6719022","url":null,"abstract":"This paper proposes to apply a multiobjective optimization evolutionary algorithm in wireless sensor node redeployment process to improve network lifetime and sensing coverage. The multiobjective optimization uses a population of individuals, each of which represents a set of wireless sensor node positions, and evolves them via the genetic operations for seeking optimal sensing coverage and network lifetime. The data transmission success rate and the total moving cost are also added as constraints. Simulation results show that the proposed multiobjective optimization evolutionary algorithm outperforms a well-known existing evolutionary algorithm for multiobjective optimization.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126400923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Ramani, M. P. Actlin Jeeva, P. Vijayalakshmi, T. Nagarajan
{"title":"Voice conversion-based multilingual to polyglot speech synthesizer for Indian languages","authors":"B. Ramani, M. P. Actlin Jeeva, P. Vijayalakshmi, T. Nagarajan","doi":"10.1109/TENCON.2013.6719019","DOIUrl":"https://doi.org/10.1109/TENCON.2013.6719019","url":null,"abstract":"A multilingual text-to-speech (TTS) system synthesizes speech signal in multiple languages for a given text, that is intelligible to human listener. However, given a mixed language text to the system, the synthesized output is observed to have speaker switching at the language switching points, which is annoying to the listeners. To overcome this switching effect, a polyglot speech synthesizer is developed, which generates synthesized speech in multiple languages with single voice identity. This can be achieved by inherent voice conversion during synthesis or by using voice conversion to convert the multilingual speech corpus to polyglot speech corpus and then perform synthesis. In this work, the polyglot speech corpus is obtained using Gaussian mixture model (GMM)-based cross-lingual voice conversion technique and a polyglot speech synthesizer for Indian languages is developed using hidden Markov model (HMM)- based synthesis technique. Here, the speech data collected from the native speakers for the Indian languages namely, Telugu, Malayalam, and Hindi are converted to have the voice identity of the native Tamil speaker. Building a HMM-based synthesizer using the obtained polyglot corpus enables the system to synthesize speech for any given text in any language or mixed language text. The performance of the polyglot speech synthesizer is evaluated for the similarity of the synthesized speech to the source or target speaker by performing ABX listening test. The scores obtained shows that the percentage of similarity to the target Tamil speaker varies from 73% to 86%. Further the performance of the system is analyzed for speaker switching.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126286862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"NemoAuth: A mnemonic multimodal approach to mobile user authentication","authors":"Zhengyi Le, Xinwen Zhang, Zeyu Gao","doi":"10.1109/TENCON.2013.6719039","DOIUrl":"https://doi.org/10.1109/TENCON.2013.6719039","url":null,"abstract":"User authentication is always the first step of security services/mechanisms in computing infrastructures. However, mobile devices and clouds bring challenges and also new dimensions into this topic, such as limited computing power, migrating objects, and various embedded sensors. When a resource located either in a mobile device or in a cloud is requested, associated security policies will trigger authentication procedures for compliance enforcement. This paper proposes a new multimodal approach, called NemoAuth, to mobile device user authentication. It has unique mnemonic and other interesting benefits, and also improves both security and user experience which breaks the limit of recent user authentication technologies.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126580621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"High step-up converter based on multi-winding coupled inductor and charge pump capacitor","authors":"K. Hwu, A. P. Tseng, J. Shieh","doi":"10.1109/TENCON.2013.6718834","DOIUrl":"https://doi.org/10.1109/TENCON.2013.6718834","url":null,"abstract":"In this paper, a novel high step-up converter is presented, containing a multi-winding coupled inductor and a charge pump capacitor. Since the charge pump capacitor is connected in series with a coupled inductor, the surge current caused by the capacitor charging can be reduced, thereby causing the life of the capacitor to be prolonged. Above all, the energy stored in the leakage inductance of the coupled inductor can be recycled to the output, thus making the voltage spike on the switch reduced. Besides, some experimental results are provided to verify the effectiveness of the proposed converter.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122156438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gammatone wavelet Cepstral Coefficients for robust speech recognition","authors":"A. Adiga, Mathew Magimai, C. Seelamantula","doi":"10.1109/TENCON.2013.6718948","DOIUrl":"https://doi.org/10.1109/TENCON.2013.6718948","url":null,"abstract":"We develop noise robust features using Gammatone wavelets derived from the popular Gammatone functions. These wavelets incorporate the characteristics of human peripheral auditory systems, in particular the spatially-varying frequency response of the basilar membrane. We refer to the new features as Gammatone Wavelet Cepstral Coefficients (GWCC). The procedure involved in extracting GWCC from a speech signal is similar to that of the conventional Mel-Frequency Cepstral Coefficients (MFCC) technique, with the difference being in the type of filterbank used. We replace the conventional mel filterbank in MFCC with a Gammatone wavelet filterbank, which we construct using Gammatone wavelets. We also explore the effect of Gammatone filterbank based features (Gammatone Cepstral Coefficients (GCC)) for robust speech recognition. On AURORA 2 database, a comparison of GWCCs and GCCs with MFCCs shows that Gammatone based features yield a better recognition performance at low SNRs.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126787876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new adaptive immune clonal algorithm for underwater acoustic target sample selection","authors":"Honghui Yang, Xin Zhou, Yun Wang, Jianhua Dai, Sheng Shen, Jingyu Liu","doi":"10.1109/TENCON.2013.6718810","DOIUrl":"https://doi.org/10.1109/TENCON.2013.6718810","url":null,"abstract":"The performance of underwater acoustic target classification decreases and is unstable when the training set contains noisy, redundant or irrelevant samples. In this paper, a new adaptive immune clonal sample selection algorithm (AICISA) is proposed to address this problem. AICISA is aimed at directing generation evolution. An experiment about the application of AICISA using the multi-field features extracted from 4 kinds of underwater acoustic targets was conducted. Experimental results show that AICISA can select effective subsets of samples. Reducing the sample size by 90%, the classification accuracy of SVM is improved by 10%. AICISA also shows good convergence and stability. The optimal subset of samples obtained by AICISA has good generalization ability and can remarkably reduce the classification time.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"51 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120887600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic and static analysis of boost converters with input current ripple cancellation network","authors":"Gu Yu, Zhang Donglai","doi":"10.1109/TENCON.2013.6718835","DOIUrl":"https://doi.org/10.1109/TENCON.2013.6718835","url":null,"abstract":"In this paper, the small-signal modeling of boost converter with LCL ripple cancellation network(RCN) has been derived and analyzed. In order to analyze the dynamic and static characteristics of boost converters after adding the RCN, a conventional synchronous boost converter (CSBC) and a boost converters with LCL RCN under 36-V input voltage, 50-V output voltage and 500-W output power have been designed and built. The experiment results show that the RCN can achieve input current ripple cancellation of boost converter in all power range. Meanwhile, both converters have the similar open-loop frequency responses and dynamic characteristics under the same PI control with the load transient recovery time less 3ms, which proves that the proper RCN parameter will not bring significantly changes on the dynamic and static characteristics of the CSBC.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115969321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A low-power CMOS pipeline ADC using multiple sharing technique for ZigBee transceiver","authors":"Zhou Zhao, Mingzhen Wang, H. Zhong","doi":"10.1109/TENCON.2013.6718949","DOIUrl":"https://doi.org/10.1109/TENCON.2013.6718949","url":null,"abstract":"A 10bit, 20MS/s pipeline ADC is proposed for ZigBee transceiver in this paper. Due to demand of low power, a multiple sharing technique involved operational operational amplifier (opamp) and comparator is proposed, traditional S/H circuit is cancelled, a new gain boosting switch which could achieve sample and hold in first stage is also proposed. Implemented in a 0.18μm CMOS process, only 19.6mW power consumption from 1.8V power supply is achieved. SNR and SFDR are 61.5dB and 66.24dB, respectively, when a 1MS/s sinusoid signal inputs to the ADC at 20MS/s sampling rate. Particularly the test results show this pipeline ADC is suitable for a low power consumption ZigBee system.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116729061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Control of composite energy storage system in wind and PV hybrid microgrid","authors":"Bo Wang, Baohui Zhang, Z. Hao","doi":"10.1109/TENCON.2013.6718455","DOIUrl":"https://doi.org/10.1109/TENCON.2013.6718455","url":null,"abstract":"Energy storage system is necessary to maintain steady operation of the micro-grid and decrease its influence on the distribution grid. This paper mainly presents the research on the composite energy storage system in a wind and PV hybrid micro-grid. The energy storage system is composed of a battery and a super-capacitor, which combines advantages of both sides. The battery is supposed to compensate the low-frequency part of the micro-grid net load power and the super-capacitor for the high frequency part. A micro-grid model including a wind turbine, a PV cell, loads and composite energy storage system is built with the simulation tool DIgSILENT/PowerFactory and related simulation is carried out. Simulation results confirm that the designed composite energy storage system is applicable and effective for the Micro-grid.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125235383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}