IJARAI Volume 1 Issue 8

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Paper 1: The Research of the Relationship between Perceived Stress Level and Times of Vibration of Vocal Folds

Abstract: Whether a syllable is perceived as stressed or not and whether the stress is strong or weak are hot issues in speech prosody research and speech recognition. A focus of the stress study is on the investigation of the acoustic factors which contribute to the perception of stress level. This study examined all possible acoustic/physiological cues to stress based on data from Annotated Chinese Speech Corpus and proposed that times of vibration of vocal folds (TVVF) reflects stress level best. It is traditionally held that pitch and duration are the most important acoustic parameters to stress. But for Chinese which is a tone language and features special strong-weak pattern in prosody, these two parameters might not be the best ones to represent stress degree. This paper proposed that TVVF, reflected as the number of wave pulses of the vocalic part of a syllable, is the ideal parameter to stress level. Since number of pulses is the integral of pitch and duration (Pulse=?f(pitch)dt), TVVF can embody the effect of stress on both pitch and duration. The analyses revealed that TVVF is most correlated with the grades of stress. Therefore, it can be a more effective parameter indicating stress level.

Author 1: Yin Zhigang

Keywords: Times of vibration of vocal folds (TVVF); stress level; parameter.

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Paper 2: Clustering Method Based on Messy Genetic Algorithm: GA for Remote Sensing Satellite Image Classifications

Abstract: Clustering method for remote sensing satellite image classification based on Messy Genetic Algorithm: GA is proposed. Through simulation study and experiments with real remote sensing satellite images, the proposed method is validated in comparison to the conventional simple GA. It is also found that the proposed clustering method is useful for preprocessing of the classifications.

Author 1: Kohei Arai

Keywords: clustering; classification; Genetic Algorityhm: GA; Messy GA; simple GA.

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Paper 3: Visualization of Link Structures and URL Retrievals Utilizing Internal Structure of URLs Based on Brunch and Bound Algorithms

Abstract: Method for visualization of URL link structure and URL retrievals using internal structure of URLs based on brunch and bound method is proposed. Twisting link structure of URLs can be solved by the proposed visualization method. Also some improvements are observed for the proposed brunch and bound based method in comparison to the conventional URL retrieval methods.

Author 1: Kohei Arai

Keywords: visualization of link structure; URL retrieval; brunch and bound method; serch engine; information collection robot.

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Paper 4: An Exploration on Brain Computer Interface and Its Recent Trends

Abstract: Detailed exploration on Brain Computer Interface (BCI) and its recent trends has been done in this paper. Work is being done to identify objects, images, videos and their color compositions. Efforts are on the way in understanding speech, words, emotions, feelings and moods. When humans watch the surrounding environment, visual data is processed by the brain, and it is possible to reconstruct the same on the screen with some appreciable accuracy by analyzing the physiological data. This data is acquired by using one of the non-invasive techniques like electroencephalography (EEG) in BCI. The acquired signal is to be translated to produce the image on to the screen. This paper also lays suitable directions for future work.

Author 1: T. Kameswara Rao
Author 2: M. Rajyalakshmi
Author 3: Dr. T. V. Prasad

Keywords: BCI; EEG; brain image reconstruction.

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Paper 5: An Interval-Based Context Reasoning Approach

Abstract: Context-aware computing is an emerging computing paradigm that provides intelligent context-aware application. Context reasoning is an important aspect in context awareness, by which high level context can be derived from low-level context data. In this paper, we focus on the situation in mobile workspace, where a worker performs a set of activities to archive defined goals. The main part of being aware is to be able to answer the question of “what is going on”. Therefore high level context we need to derive is current activity and its state. The approach we propose is knowledge-driven technique. Temporal relations as well as semantic relations are integrated into the context model of activity, and the recognition is performed based on the model. We first define the context model of activity, and then we analyze the characteristics of context change and propose a method of context reasoning.

Author 1: Tao Lu
Author 2: Xiaoling Liu
Author 3: Xiaogang Liu
Author 4: Shaokun Zhang

Keywords: context-aware; context reasoning; interval-based; activity recognition.

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Paper 6: Hybrid Systems for Knowledge Representation in Artificial Intelligence

Abstract: There are few knowledge representation (KR) techniques available for efficiently representing knowledge. However, with the increase in complexity, better methods are needed. Some researchers came up with hybrid mechanisms by combining two or more methods. In an effort to construct an intelligent computer system, a primary consideration is to represent large amounts of knowledge in a way that allows effective use and efficiently organizing information to facilitate making the recommended inferences. There are merits and demerits of combinations, and standardized method of KR is needed. In this paper, various hybrid schemes of KR were explored at length and details presented.

Author 1: Rajeswari P.V N
Author 2: Dr. T. V. Prasad

Keywords: Knowledge representation; hybrid system; hybrid schema structure.

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Paper 7: Local Feature based Gender Independent Bangla ASR

Abstract: This paper presents an automatic speech recognition (ASR) for Bangla (widely used as Bengali) by suppressing the speaker gender types based on local features extracted from an input speech. Speaker-specific characteristics play an important role on the performance of Bangla automatic speech recognition (ASR). Gender factor shows adverse effect in the classifier while recognizing a speech by an opposite gender, such as, training a classifier by male but testing is done by female or vice-versa. To obtain a robust ASR system in practice it is necessary to invent a system that incorporates gender independent effect for particular gender. In this paper, we have proposed a Gender-Independent technique for ASR that focused on a gender factor. The proposed method trains the classifier with the both types of gender, male and female, and evaluates the classifier for the male and female. For the experiments, we have designed a medium size Bangla (widely known as Bengali) speech corpus for both the male and female.The proposed system has showed a significant improvement of word correct rates, word accuracies and sentence correct rates in comparison with the method that suffers from gender effects using. Moreover, it provides the highest level recognition performance by taking a fewer mixture component in hidden Markov model (HMMs).

Author 1: Bulbul Ahamed
Author 2: Khaled Mahmud
Author 3: B.K.M. Mizanur Rahman
Author 4: Foyzul Hassan
Author 5: Rasel Ahmed
Author 6: Mohammad Nurul Huda

Keywords: Automatic speech recognition; Local featues; gender factor; word correct rates; word accuracies; sentence correct rates; hidden Markov model.

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Paper 8: A Mechanism of Generating Joint Plans for Self-interested Agents, and by the Agents

Abstract: Generating joint plans for multiple self-interested agents is one of the most challenging problems in AI, since complications arise when each agent brings into a multi-agent system its personal abilities and utilities. Some fully centralized approaches (which require agents to fully reveal their private information) have been proposed for the plan synthesis problem in the literature. However, in the real world, private information exists widely, and it is unacceptable for a self-interested agent to reveal its private information. In this paper, we define a class of multi-agent planning problems, in which self-interested agents' values are private information, and the agents are ready to cooperate with each other in order to cost efficiently achieve their individual goals. We further propose a semi-distributed mechanism to deal with this kind of problems. In this mechanism, the involved agents will bargain with each other to reach an agreement, and do not need to reveal their private information. We show that this agreement is a possible joint plan which is Pareto optimal and entails minimal concessions.

Author 1: Wei HUANG

Keywords: joint plan; self-interested agent; privat information; Pareto optimality; concession.

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Paper 9: Optimisation of Resource Scheduling in VCIM Systems Using Genetic Algorithm

Abstract: The concept of Virtual Computer-Integrated Manufacturing (VCIM) has been proposed for one and a half decade with purpose of overcoming the limitation of traditional Computer-Integrated Manufacturing (CIM) as it only works within an enterprise. VCIM system is a promising solution for enterprises to survive in the globally competitive market because it can exploit effectively locally as well as globally distributed resources. In this paper, a Genetic Algorithm (GA) based approach for optimising resource scheduling in the VCIM system is proposed. Firstly, based on the latest concept of VCIM system, a class of resource scheduling problems in the system is modelled by using agent-based approach. Secondly, GA with new strategies of handling constraint, chromosome encoding, crossover and mutation is developed to search for optimal solution for the problem. Finally, a case study is given to demonstrate the robustness of the proposed approach.

Author 1: Son Duy Dao
Author 2: Kazem Abhary
Author 3: Romeo Marian

Keywords: optimisation; genetic algorithm; resource scheduling; virtual computer-integrated manufacturing system.

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