Soft Computing, Artificial Intelligence and Applications

6 th  International Conference on Artificial Intelligence and Applications (AIAP-2019)  May 25~26, 2019, Vancouver, Canada https://ccseit2019.org/aiap/index.html Scope 6 th  International Conference on Artificial Intelligence and Applications (AIAP-2019)  will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the Conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances...

Image Generation from Caption Mahima Pandya and Sonal Rami Charotar University of Science and Technology, India ABSTRACT Generating images from a text description is as challenging as it is interesting. The Adversarial network performsinacompetitive fashion where the networks aretherivalry of each other. With the introduction ofGenerative Adversarial Network, lots of development is happening in the field of Computer Vision. Withgenerative adversarial networks as the baseline model, studied Stack GAN consisting oftwo-stageGANSstep-by- step in this paper that could be easily understood. This paper presents visual comparative study ofother models attempting to generate image conditioned on the text description. One sentencecan be relatedto many images. And to achieve this multi-modal characteristic, conditioning augmentation is also performed. The performance of Stack- GAN is better in generating images from captions due to its unique architecture. As it consists of two GANS inste...

Secured Framework for Pervasive Healthcare Monitoring Systems N Rukma Rekha1 and M.S.PrasadBabu2 1University of Hyderabad, India 2Andhra University, India ABSTRACT Pervasive Healthcare Monitoring System (PHMS)’ is one of the important pervasive computingapplications aimed at providing healthcare servicesto all the people through mobile communicationdevices. Pervasive computing devices are resourceconstrained devices such as battery power, memory,processing power and bandwidth. In pervasive environment data privacy is a key issue. In thisapplication a secured frame work is developed for receiving the patient’s medical data periodically,updates automatically in Patient Record Database and generates a Checkup Reminder. In the presentwork a light weight asymmetric algorithm proposed by the authors [26] is used for encrypting the datatoensure data confidentiality for its users. Challenge response onetime password mechanism is applied forauthentication process KEYWORDS Pervasive compu...

Active Controller Design for the Hybrid Synchronization of Hyperchaotic Zheng and Hyperchaotic Yu Systems Sundarapandian Vaidyanathan Vel Tech Dr.RR & Dr.SR Technical University, India ABSTRACT This paper deals with a new research problem in the chaos literature, viz. hybrid synchronization of a pair of chaotic systems called the master and slave systems. In the hybrid synchronization design of master and slave systems, one part of the systems, viz. their odd states, are completely synchronized (CS), while the other part, viz. their even states, are completely anti-synchronized (AS) so that CS and AS coexist in the process of synchronization. This research work deals with the hybrid synchronization of hyperchaotic Zheng systems (2010) and hyperchaotic Yu systems (2012). The main results of this hybrid synchronization research work have been proved using Lyapunov stability theory. Numerical examples of the hybrid synchronization results are shown along with MATLAB simulations fo...

Multi-Population Methods with Adaptive Mutation for Multi-Modal Optimization Problems Imtiaz Korejo1, Shengxiang Yang2, Kamran Brohi3, Z.U.A.Khuhro4 1University of Sindh, Pakistan 2De Montfort University, United Kingdom ABSTRACT This paper presents an efficient scheme to locate multiple peaks on multi-modal optimization problems by using genetic algorithms (GAs). The premature convergence problem shows due to the loss of diversity, the multi-population technique can be applied to maintain the diversity in the population and the convergence capacity of GAs. The proposed scheme is the combination of multi-population with adaptive mutation operator, which determines two different mutation probabilities for different sites of the solutions. The probabilities are updated by the fitness and distribution of solutions in the search space during the evolution process. The experimental results demonstrate the performance of the proposed algorithm based on a set of benchmark problems in comp...

Advanced Human Behavioral Cues Detection: A Method in Social Signal Processing K.Sunilkumar1 and T.KishoreKumar2, 1VITS Warangal, India 2NIT Warangal, India ABSTRACT Social Signal Processing (SSP) is the new research domain that aims at understanding social interactions and social intelligence. The essence of social intelligence is the ability to recognize human social signals and behaviors cues (verbal and non-verbal). We present a unified model for non-verbal behavioral cues SSP under the categories of face detection like eyes-mouth-lips-ears-nose, emotional assessments like anger-happy-sadness-neutral and physical appearance like height (short-average-tall), attractiveness (smartness) and body shape(slim-normal-flat) in real-world cluttered images which is one of the method in social signal processing. It is rather difficult task to detect and interpret temporal patterns of nonverbal behavioral cues in a given context. Our main objective is to detect non-verbal behavioral cues ...

Digital Image Retrieval Using Combination of Texture, Shape and Colour Features Mohammad Saberi, Farshad Tajeripour and Shervan Fekri-Ershad Shiraz University, Iran ABSTRACT A robust method is proposed in this paper to retrieve digital images using combination of color, texture and shape features. The proposed method consists of three stages. Shape detection is done based on TopHat transform to detect and crop object part of the image in the first stage. The second is included a texture feature extraction algorithm using color local binary patterns (CLBP) and local variance features together. Finally, to retrieve mostly closing matching images to the query, log likelihood ratio is used as non-similarity ratio. The performance of the proposed approach is evaluated using Corel and Simplicity image sets and it compared by some of other well-known approaches in terms of precision and recall which shows the superiority of the proposed approach. Shift invariant, Low noise sensitivity, ro...