International Journal of Intelligent Engineering and Systems

8

Authors: Cai Rang Zhuo Ma, Cai Zhi Jie

Text to speech system(TTS) ,which converts text into speech through computer and then output the speech, is a popular research object in the realm of speech processing in recent years．A successful TTS outputs speech with clear timbre and natural fluency．TTS is composed of Text analysis, prosody control and speech synthesis modules. Text analysis module is in the front end, which gives the linguistics and phonetics text detailed information for the speech synthesis. This paper, based on the Tibetan written, pronunciation characteristics and pronunciation mechanism, gives the basic structure of TTS that is based on large-scale speech corpus and study of standardization, word segmentation and voice tagging technologies for Tibetan TTS.

9

Authors: Kei Eguchi, Ichirou Oota, Shinya Terada, Hongbing Zhu

A switched-capacitor-based battery equalizer using level-shift circuits is proposed in this paper. In conventional equalizers using diode switches, the threshold voltage of diode switches causes a decrease in power efficiency. Unlike conventional equalizers, the proposed equalizer alleviates the threshold-voltage-drop of switches by using level-shift circuits. Therefore, the proposed equalizer can improve power efficiency. The properties of the proposed equalizer were investigated through SPICE simulations, theoretical analyses and experiments. SPICE simulations showed that 1. the proposed equalizer can improve power efficiency more than 40 % when output load is 1 k and 2. theoretical results corresponded well with SPICE simulation results. Therefore, the derived theoretical formulas will be helpful to estimate circuit properties of switched-capacitor-based battery equalizers. Furthermore, the experiments showed that the proposed equalizer can offer higher cell voltage than the conventional equalizer. Therefore, the proposed equalizer can achieve high power efficiency.

8

Authors: Peng Shang, Anping Xu, Jingjing Zhao

Recently the steel wire reinforced composite pipelines are increasingly used in many different fields with researches usually focus on their mechanical properties. A constitutive model of the composite pipe’s mechanical properties is presented, which can be used to solve the problems of stress, strain and displacements. After that, 3D CAD models of two kinds of steel wire reinforced composite pipes are built, and then the displacements and stress distribution of the pipes under constant internal and external pressure are analyzed by using FEA software, respectively. The differences between the mechanical properties of the two kinds of composite pipes are elaborated by comparing the displacements of the distribution curve along their corresponding paths. The results show that the braided steel wire reinforced composite pipes have better mechanical properties than the welded ones. That may be due to the crisscross that makes both the clockwise and counter-clockwise steel wires bear the same pressure.

10

Authors: Kei Eguchi, Ichirou Oota, Shinya Terada, Hongbing Zhu

For back-lighting applications, a white LED (WLED) driver using a hybrid-input negative ring-type converter is proposed in this paper. To drive the LED’s cathode, the proposed driver offers the negative steppedup/stepped-down voltages by converting clean energy. The proposed driver can realize longer battery lifetime than conventional converters, because 1. In spite of the variation in clean energy input, the proposed step-up/step-down driver can utilize the clean energy effectively and 2. The proposed driver can charge a rechargeable battery when the back-light is standby mode. The properties of the proposed driver were clarified by theoretical analyses and SPICE simulations. SPICE simulations showed that the proposed driver can provide the sufficient voltage to drive LEDs by using not only battery energy but also clean energy. Furthermore, the theoretical formulas are useful for designing the proposed driver, because the theoretical results corresponded well with the simulation results.

8

Authors: Zhiqun Guo, Zhuang Lin, Qiang Yang, Xiaowen Li

Fast catamaran oscillates in shortwave sea conditions due to its low length to beam ratio and relatively light weight. T-foils or interceptors are effective stabilizers for alleviating the pitch and heave motions of fast craft. This work designs a catamaran motion decoupling combined control system utilizing 2 T-foils and 2 interceptors, which can not only control the longitudinal motion, but also alleviate the roll motion of fast catamaran. Numerical simulation results show that the motion control system can satisfactorily improve seakeeping performance of fast catamaran.

8

Authors: Shaaban M.Shaaban, Hossam A.Nabwey

Transformers are considered as significant equipments in electrical power systems, once failure ,the economic operation will be lost. To overcome this difficulty and to maintain economic operation of facilities, diverse diagnosis methods are developed to implement fault forecasting. According to intelligent complementary ideas, a fault diagnosis is proposed when there is a missing failure symptom of transformer. The core of the proposed approach is a soft hybrid induction system called the Generalized Distribution Table and Rough Set System (GDT-RS) to discover classification rules. The system is based on a combination of Generalized Distribution Table (GDT) and the Rough Set methodologies. The proposed approach is applied into transformer fault diagnosis and the results indicate that it is very effective and accurate.

8

Authors: Maruf Pasha, Abdul Sattar

Ontologies have long been considered the core of semantics as they offer shareable and reusable knowledge about a particular domain. Improving and sharing domain specific knowledge residing in a database is one of the key challenges faced while developing any application. Due to the ever growing amount of data on the Web, it is almost impossible to extract meaningful data and the amount of manual work during creation of ontology poses series of challenges. And researchers are facing challenges such as the unavailability of well-formed databases, domain expert’s help for extracting cardinality restrictions and generation of un-resolvable URIs. Therefore, we have focused on domain specific relational databases for constructing ontologies as a solution. Our aim is to analyze the various Ontology construction approaches from relational databases and identify the advantages and disadvantages of these techniques, so that an enhanced and efficient approach can be proposed. We have performed detailed analysis of various ontology construction techniques from relational database (RDB) based on database schema analysis (meta-data, cardinality restrictions and datatype information), stored data (through data mining) and also performed a comparative analysis of these techniques.

10

Authors: Jianqing Liu, Rongkai Lu

SNMP-based system for monitoring network is equipped with network management, monitoring system and statistic analysis of the network in it. It not only contains the function like network information capture that normal network devices have, but also has the ability to extend such applications as CPU usage rate, traffic flow information of interfaces and memory usage rate through plug-in mechanism. Simplifying the basic network management tasks by centering on auto-topology mechanism and making a tradeoff between usability and extensibility, the auto-topology control which is implemented and designed independently could support almost networking devices with better flexibility. Completely supporting to capture TrapV1, TrapV2 and partial TrapV3 (limited by protocol) with embedded database to facilitate backend storage, the software has become a green-software except depending on .NET Framework 4.

8

Authors: Zhang Lin, Qiang Yang, Zhiqun Guo, Jun Li

It is significant and valuable to improve the time and the accuracy of ships’ motion predication. Autoregressive time series analysis method (AR) with Kalman filtering theory is the mainstream currently and the effectiveness for the prediction of ships’ motion attitudes have been fully validated. However, the algorithm fixes the order, i.e. the length of the state vector once only, but forecasts the future data for multi-step, resulting in degradation of the step length and the accuracy, especially when the ship sails in bad sea condition. In order to solve this issue, this paper proposed a new autoregressive-multiple (ARm) method, which can determine the orders and the parameters of model in real-time. The method was applied to forecast a ship’s motion attitudes in eight different situations. The simulative results of autoregressive-multiple method show the validity and veracity compared with real value.

9

Authors: Hlaing Htake Khaung Tin, Myint Myint Sein

This paper details with the developing of the age dependent face recognition system. The YCbCr and HSV colors paces are applied to skin detection and face region extraction. The proposed method preserves the identity of the subject while enforcing a realistic recognition effect on adult facial images between 15 to 60 years old that are divided into 11 classes with 5 years old range. The age of the input individual is predicted to examine the related age group. Eigen face approach is applied to both the training data and each aging group of database. And, then the face recognition is performed with a predicted aging group. Based on the principal component analysis method and K th nearest neighbor classifier, the face recognition system is developed. The proposed system will reduce the complexity and processing time dramatically by considering the dependent aging groups of an individual instead of the whole database.