IJARAI Volume 3 Issue 3

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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Paper 1: Numerical Deviation Based Optimization Method for Estimation of Total Column CO2 Measured with Ground Based Fourier Transformation Sepectormeter: FTS Data

Abstract: Numerical deviation based optimization method for estimation of total column CO2 measured with ground based Fourier Transformation Spectormeter: FTS data is proposed. Through experiments with aircraft based sample return data and the ground based FTS data, it is found that the proposed method is superior to the conventional method of Levenberg Marquads based nonlinear least square method with analytic deviation of Jacobian and Hessean around the current solution. Moreover, the proposed method shows better accuracy and required computer resources in comparison to the internationally used method (TCCON method) for estimation of total column CO2 with FTS data. It is also found that total column CO2 depends on weather conditions, in particular, wind speed.

Author 1: Kohei Arai
Author 2: Takuya Fukamachi
Author 3: Hiroshi Okumura
Author 4: Shuji Kawakami
Author 5: Hirofumi Ohyama

Keywords: FTS; carbon dioxide; methane; sensitivity analysis; error analysis

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Paper 2: Proposal of Tabu Search Algorithm Based on Cuckoo Search

Abstract: This paper presents a new version of Tabu Search (TS) based on Cuckoo Search (CS) called (Tabu-Cuckoo Search TCS) to reduce the effect of the TS problems. The proposed algorithm provides a more diversity to candidate solutions of TS. Two case studies have been solved using the proposed algorithm, 4-Color Map and Traveling Salesman Problem. The proposed algorithm gives a good result compare with the original, the iteration numbers are less and the local minimum or non-optimal solutions are less.

Author 1: Ahmed T. Sadiq Al-Obaidi
Author 2: Ahmed Badre Al-Deen Majeed

Keywords: Tabu Search; Cuckoo Search; Heuristic Search; Neighborhood Search; Optimization; 4-Color Map; TSP

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Paper 3: Estimation of Protein Content in Rice Crop and Nitrogen Content in Rice Leaves Through Regression Analysis with NDVI Derived from Camera Mounted Radio-Control Helicopter

Abstract: Estimation of protein content in rice crop and nitrogen content in rice leaves through regression analysis with Normalized Difference Vegetation Index: NDVI derived from camera mounted radio-control helicopter is proposed. Through experiments at rice paddy fields which is situated at Saga Prefectural Research Institute of Agriculture: SPRIA in Saga city, Japan, it is found that protein content in rice crops is highly correlated with NDVI which is acquired with visible and Near Infrared: NIR camera mounted on radio-control helicopter. It also is found that nitrogen content in rice leaves is correlated to NDVI as well. Protein content in rice crop is negatively proportional to rice taste. Therefore rice crop quality can be evaluated through NDVI observation of rice paddy field.

Author 1: Kohei Arai
Author 2: Masanori Sakashita
Author 3: Osamu Shigetomi
Author 4: Yuko Miura

Keywords: nitrogen content; NDVI; protein content; rice paddy field; remote sensing; regression analysis

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Paper 4: Optimum Band and Band Combination for Retrieving Total Nitrogen, Water, Fiber Content in Tealeaves Through Remote Sensing Based on Regressive Analysis

Abstract: Optimum band and band combination for retrieving total nitrogen, water and fiber content in tealeaves with remote sensing data is investigated based on regressive analysis. Based on actual measured data of total nitrogen, fiber and water content in tealeaves as well as remotely sensed visible to near infrared reflectance data with 5nm of wavelength steps and ASTER/VNIR onboard Terra satellite, regressive analysis is conducted. As the results, it is found that 1045nm is the best wavelength for retrieving total nitrogen content while 945nm is the best wavelength for fiber content retrieval. Also it is found that 545nm is the best wavelength for water content. On the other hand, it is found that 350 and 750nm wavelength combination is the best for estimation of total nitrogen content while 535 and 720 wavelength combination is the best for fiber content estimation. It also found that 545 and 760nm wavelength combination is the best for water content retrieval.

Author 1: Kohei Arai

Keywords: regressive analysis; total nitrogen content; tealeaves; fiber content; water content

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Paper 5: A Study of Routing Path Decision Method Using Mobile Robot Based on Distance Between Sensor Nodes

Abstract: We propose Robot Wireless Sensor Networks (RWSNs) management method for maintaining wireless communication connectivity for a mobile robot teleoperation with considering a distance between sensor nodes. Recent studies for reducing disaster damage focus on a disaster area information gathering in underground spaces. Since information gathering activities in such post disaster underground spaces present a high risk of personal injury by secondary disasters, a lot of rescue workers were injured or killed in the past. On basis of this background, gathering information by utilizing the mobile robot is discussed in wide area. However, maintaining wireless communication infrastructures for teleoperation of a mobile rescue robot in the post-disaster underground space by various reasons. Therefore we have been discussing the wireless communication infrastructures construction method for teleoperation of the rescue robot by utilizing the RWSN. In this paper, we evaluated the proposed method for changing routing path by utilizing the RWSN in field operation test in order to confirm the availability of performance of communication connectivity and the throughputs between End-to-End communications via constructed network.

Author 1: Yuta Koike
Author 2: Kei Sawai
Author 3: Tsuyoshi Suzuki

Keywords: Wireless Sensor Networks; Moblie Robot Tele-Operation; Maintaining Throughput; Routing Path

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