Earticle

In wireless body sensor systems (WB-SNSs), all sensor nodes need energy-efficient techniques due to battery limitations. The transmission power control (TPC) algorithm is a representative technique to reduce energy consumption in WB-SNSs. But the sophisticated control of transmission power is very difficult because of many factors such as sensor placements and human motions. So, we must consider these factors for efficient TPC algorithms. However, previous researches in TPC algorithms have concentrated on just one or two factors in the static environment so that the effectiveness of the proposed algorithms is very limited. Therefore, in this paper, we compare previous TPC algorithms with diverse environments. We analyze the received signal strength indication (RSSI) pattern and energy consumption of representative TPC algorithms in view of the interaction of sensor placements and human motions.

This paper suggests a personalized service system offering effective exhibition information by collecting, analyzing, and managing spectator environment information in exhibitions based on a ubiquitous environment. To that end, we use AR technologies that can provide intuitive and supportive information for displaying exhibition information. The previous AR is considered quite static, for virtual information is provided by pattern matching (e.g., markers, features of an object, etc.). Therefore, the system in this paper offers dynamic personalized services in that virtual information is displayed according to spectator’s situations and carries out context inference by grouping context information into metadata and by measuring similarity.

In this paper, we propose a new stereo matching hardware architecture based on the AD-Census stereo matching algorithm that produces accurate disparity map. The proposed stereo matching hardware architecture is fully pipelined and processes images with disparity level parallelism in real time. Also, it uses modulo memory addressing methods for reducing the size of memory and the usage of hardware resource. The proposed architecture is perfectly synchronized with the input camera clock for real-time performance. Its maximum clock frequency is 197 MHz when it is implemented in an FPGA device.

This paper proposes a robust real-time artificial landmarks detection and recognition system for indoor mobile robot. Landmarks detection and recognition for indoor robots faces two major difficulties, one is the illumination changes and the other is processing speed. In this paper, first, histograms of oriented gradient (HOG) features are extracted to resolve the problem of illumination changes. Second, AdaBoost based algorithm is used in detection phase to increase the processing speed. Finally, RBF-SVM classifier is used for recognition. Experimental results show a high detection and recognition accuracy and the processing speed is about 10 frames per second.

Fruit have a variety of vitamins and has the most vitamin C, and so we can know the status of the fruit to the loss of the vitamin C. There are a lot of factors that the loss of the vitamin C, but it is highly dependent on temperature. Therefore, monitoring temperature variability during transport and storage is very important. In this paper, we propose the fruit state monitoring system using the RFID system. The proposed system consists of server, RFID reader, RFID tag, sensor interface, temperature sensor. In order to verify the effectiveness of the proposed system, we performed experiments on the strawberry juice. Strawberry may be considered among the fruit most rich in Vitamin C. The temperature is taken by the sensor and reported through MFC software. Fruit state monitoring was divided into the 5 grade. The experimental results show that was confirmed the performance of the fruit state monitoring system.

An implementation of a motion editor using laser-scanned 3D body data and the animated result in augmented reality are reported in this paper. Joint points of the skeleton in the body were picked up as pivot points for 3D rotation. The body data were framed to skeleton model and organized as hierarchical structure. In order to implement the 3D animation of the laser scanned body data, the vertexes of the objects were connected as skeleton structure and animated to follow dynamic patterns inputted by user. The proposed method can provide various 3D motion of the body in augmented reality.

Smoke simulation is an interesting topic in computer graphics these days. The realistic rendering of smoke scene is one of the most challenging tasks in fluid dynamics of computer graphics. Smoke simulation rendering is based on basics particle system. In this paper, our proposed method based on FDS’s (Fire Dynamic Simulation) output the result of the Excel file which improves DirectX for effective smoke and fire model. Using Excel file coordinates to DirectX particle system, and changes the original particle systems coordinates value. After computing the coordinates of particle moving location and boundary the flow simulation’s real world smoke fluid mechanism of fluid dynamics. Recent game engine computer graphic developers usually control resources focused on smoke visualization and fire model. In this paper, we focused on smoke location boundary. The proposed method can change smoke particles more accurately and efficiently than the rendering is implemented by making smoke particles after putting the coordinates form FDS into DirectX Experiment result shows that 500 million particles have 5~8% performance improvement, and gives neutrality and reality to user's view.

Smart devices and wireless network infrastructure are provided in schools for educational purposes, but their utilization methodology is still at the level of existing devices used for the modernization of teaching platforms. Thus, in this study, a new web application was developed for the realization of interactive teaching and learning using the advantages of wireless networks and personalized devices. This web app is a program that allows students to answer quizzes served from the teacher’s PC of a teacher with their smart devices. Feedback for their responses and simple statistical results can be given as well. In this way, teachers can immediately check the level of understanding of their students. This enables a reliable utilization of smart infrastructure without students having to move around the class. In addition, it provides an opportunity to increase the quality of teaching and learning.

Feature extraction and representation is a crucial step for multimedia processing. How to extract ideal features that can reflect the intrinsic content of the images as complete as possible is still a challenging problem in computer vision. However, very little research has paid attention to this problem in the last decades. So in this paper, we focus our review on the latest development in image feature extraction and provide a comprehensive survey on image feature representation techniques. In particular, we analyze the effectiveness of the fusion of global and local features in automatic image annotation and content based image retrieval community, including some classic models and their illustrations in the literature. Finally, we summarize this paper with some important conclusions and point out the future potential research directions.