| An Innovative Tree Gradient Boosting Method Based Image Object Detection from a Uniform Background Scene |
| Pages: 189-195 (7) | [Full Text] PDF (464 KB) |
| R Dalai, KK Senapati |
| Computer Science and Engineering, BIT Mesra, Ranchi, Jharkhand, 835215, India |
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Abstract - Object detection is a wide area problem domain in the field of computer and machine vision. Complex background adds challenge and error margin as well to the problem significantly lot algorithms for object detection are hard to comply with occlusion and pixel bending moment affect. In this paper a highly robust algorithm ORBTRIAN for a less resolution image has been proposed and implemented using ORB detection with gradient boosting machine learning algortihm.The work has been compared with Adaboost and Surf based technology. The analysis shows 3.8% increase in performance of earlier model. The feature points extracted from ORB method are further processed to reduce the processing further. Only those points are selected which are triangularly farthest from centroid of it and only 1 point of feature selected. Thus the result is around 28%, much faster than earlier computation. The tree based GB has been implemented in this algorithm. With more number of feature points more classes need to be recognized and hence the computations performed is required an unreasonable amount of effort and time. So some nearby classes are assigned at same level using our algorithm to reduce the number of tree nodes. Overall performance of the proposed algorithm shows a significant increase in efficiency in computation time. |
| Index Terms - ORB Detection, Machine Vision, ORBTRIAN Algorithm, Gradient Boosting, Tree Based GB Algorithm |
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C itation - R Dalai, KK Senapati. "An Innovative Tree Gradient Boosting Method Based Image Object Detection from a Uniform Background Scene." International Journal of Computer Science and Software Engineering 6, no. 9 (2017): 189-195. |
| A Novel Re-Targetable Application Development Platform for Healthcare Mobile Applications |
| Pages: 196-201 (6) | [Full Text] PDF (683 KB) |
| CH Cho, F Tabei, TN Phan, Y Kim, JW Chong |
| Department of Electrical and Electronic Engineering, Texas Tech University, Lubbock, Texas 79409, USADepartment of Civil Engineering and Construction Management, California Baptist University, Riverside, CA 92504, USA |
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Abstract - The rapid enhancement of central power unit (CPU) performance enables the development of computationally-intensive healthcare mobile applications for smartphones and wearable devices. However, computationally-intensive mobile applications require significant application development time during the application porting procedure when the number of considering target devices operating systems (OSs) is large. In this paper, we propose a novel re-targetable application development platform for healthcare mobile applications, which reduces application development time with maintaining the performance of the algorithm. Although the number of applications target OSs increases, the amount of time required for the code conversion step in the application porting procedure remains constant in the proposed re-targetable platform. Experimental results show that our proposed re-targetable platform gives reduced application development time compared to the conventional platform with maintaining the performance of the mobile application. |
| Index Terms - Re-Targetable Platform, Operating System, Biomedical Applications, Biomedical Signal Processing Algorithm |
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C itation - CH Cho, F Tabei, TN Phan, Y Kim, JW Chong. "A Novel Re-Targetable Application Development Platform for Healthcare Mobile Applications." International Journal of Computer Science and Software Engineering 6, no. 9 (2017): 196-201. |
| Energy Hole Minimization Using Redundant Route in Wireless Sensor Network |
| Pages: 202-206 (5) | [Full Text] PDF (421 KB) |
| MA Hossain, M Khalil, N Siddiqi, M Reza |
| Department of Information and Communication Technology, Mawlana Bhashani Science and Technology, University Tangail 1902, Bangladesh |
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Abstract - Energy consumption is crucial issue in wireless sensor network. Typically in a sensor network moves on a low traffic load but in case of detection of an event it becomes high. In high traffic load situation, a lot of packets forwarded and also collisions increased. Due to increased collision and a lot of packets forwarding consumes a lot of energy of a sensor node. A few media access control (MAC) protocol has been proposed to handle the variety of both light and heavy traffic load situation among them RC-MAC is one which allows switching of modes to handle different traffic loads. In RC-MAC, nodes waste energy to stay awake and create energy hole in a network. In order to better utilize the conserve energy of a sensor node, we propose a energy hole mitigation technique of Receiver-Centric MAC(RC-MAC) which has better energy conservation and better throughput than RC-MAC. The proposed research work uses a beacon technique that lets nodes to get sleep appropriately between data transmission and change the data routing path to avoid energy hole problem. |
| Index Terms - Energy Hole Problem, Duty Cycling, Asynchronous MAC Protocol |
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C itation - MA Hossain, M Khalil, N Siddiqi, M Reza. "Energy Hole Minimization Using Redundant Route in Wireless Sensor Network." International Journal of Computer Science and Software Engineering 6, no. 9 (2017): 202-206. |