5G無線通信における誤り訂正符号化方式の評価に関する研究

早大学位記番号:新8267早稲田大

Evaluation of digital surface model data to improve forest biomass estimation from SPOT HRG

Remote sensing techniques play a crucial role to upscale aboveground biomass estimates from local, regional to global scale. The objective of the present research was to use previously not evaluated canopy height model (CHM) data to enhance aboveground biomass estimation from SPOT HRG imagery (HRG). The different CHMs data evaluated were digital surface models mapped using photogrammetric processing of data acquired by the airborne Digital Mapping Camera from Zeiss/Intergraph (DMC), SPOT High Resolution Stereo (HRS) and Airborne Laser Scanning (ALS) data. The pixel sizes range from one half meter to twenty meter. The study site is the watershed of the Krycklan stream located in the North Eastern part of Sweden (Lat. 64°14’ N, Long. 19°50’ E). The study area covers approximately 7800 hectares and is characterized by boreal forest dominated by Norway spruce (Picea abies) and Scots pine (Pinus sylvestris). The remotely sensed data derived spectral bands and canopy heights (CHMs) were used to fit regression models and to perform cross validation at plot level to estimate aboveground biomass. The resulting models were used to produce raster maps. Furthermore, accuracy assessment in terms of root mean square error (RMSE) of stand level estimations was computed based on an independent field measured dataset. The adjusted R2 for stand level estimates of above ground tree biomass was 60% and the RMSE was 31.8% when using SPOT HRG alone. The corresponding values of CHM data were 23.0% R2 (adj) and 35.4% RMSE for SPOT HRS; 77% R2 (adj) and 18.8% RMSE for Z/I DMC; and 80.7% R2 (adj) and 20.2% RMSE for ALS respectively. The results of cross validation of all models comply with the standard limit falling between 1.04 and 1.15. The former corresponds to a model with one explanatory variable and the latter was for 5 or 6 explanatory variables. Fusing the data sources of HRG and CHM improved aboveground biomass prediction in terms of both R2 and RMSE for all sensors data. For HRS, R2 improved from 23.0% to 50.2% and RMSE improved from 35.4% to 26.9%. R2 of Z/I DMC increased from 77.0% to 80.0% and RMSE improved from 18.8% to 16.9%. ALS derived canopy height measurements without vegetation ratio increased R2 from 80.0% to 84.5% and RMSE improved from 20.2% to 15.6%. Using ALS data including vegetation ratio decreased R2 from 90.5 % to 90.2% but RMSE improved from 15.7% to 14.1%. HRS and DMC increased the coefficient of determination and improved mapping accuracy when combined with the multi-spectral bands from HRG. ALS derived measurements had much higher R2 and accuracy when the canopy height was combined with vegetation ratio in estimating aboveground biomass. The use of digital CHM do appear promising to estimate dry biomass content and monitor carbon uptake for many important future applications

A Lightweight Size Estimation Approach for Embedded System using COSMIC Functional Size Measurement

Functional Size Measurement (FSM) is an important component of a software project that provides information for estimating the effort required to develop the measured software. Although the embedded software is time-consuming to develop, COSMIC FSM can be estimated to get more accurate function size. The traditional Function Point methods are designed to measure only business application domain and are problematic in the real-time domain. As a result, COSMIC Functional Size Measurement (FSM) method is designed to measure both application domains. The design diagrams such as UML, SysML and the well-defined FSM procedure must use to accurately measure the functional size of embedded system. We have already developed the generation model based on SysML metamodel with an example of elevator control system. In this paper, we applied the generation model that is the classification of the instance level of object based on UML metamodel. After that, this paper also showed the mapping rules which mapped between the generation model and COSMIC FSM to estimate the functional size of embedded software with the case study of cooker system. This paper also proposed the light weight generation method of COSMIC FSM by using the generation model

Identification and control of generalized hammerstein processes

Master'sMASTER OF ENGINEERIN

Implementing Distributed Data Management System In Dynamic Objects By Using Improved Sort Based Algorithm

In the High Level Architecture (HLA) paradigm, the Runtime Infrastructure (RTI) provides a set of services, such as data distribution and management (DDM) among federates. Each federate may inform the RTI about its intention to publish some data or it may subscri be to receive a subset of the published data. DDM services are used to reduce the transmission and receiving of irrelevant data and aimed at reducing the communication over the network. These services rely on the computation of the intersection between “up date” and “subscription” regions. Currently, there are several main DDM filtering algorithms. Our proposed system describes data management and filtering mechanism on tank simulation in battlefield area. This system intends to detect the movement of the ta nk ob ject s, search overlap between the tank object and every regional regiment (extent). When overlapping information is getting from one of the simulation object (OverlapDetector), another simulation object (Coordinator) connects the relevant extent that conta ining the tank object. That extent continued to send the tank information to other regional regiments according to the predefined list. In this paper, we present the design and implementation of a simulation platform used to implement one of the fil tering algorithms, the improved sort based algorithm, and report the overhead of reducing network traffic and ensuring that the forwarding data receive federates only who need the data

A Ciphertext Policy Attributes-based Encryption Scheme with Policy Revocation

There are a lot of data exchanges among the parties by using cloud computing. So data protection is very important in cloud security environment. Especially, data protection is needed for all organization by security services against unauthorized accesses. There are many security mechanisms for data protection. Attributes-based Encryption (ABE) is a one-to-many encryption to encrypt and decrypt data based on user attributes in which the secret key of a user and the ciphertext are dependent upon attributes. Ciphertext policy attributes-based encryption (CP-ABE), an improvement of ABE schemes performs an access control of security mechanisms for cloud storage. In this paper, sensitive parts of personal health records (PHRs) are encrypted by ABE with the help of CP-ABE. Moreover, an attributes-based policy revocation case is considered as well as user revocation and it needs to generate a new secret key. In proposed policy revocation case, PHRs owner changes attributes policy to update available user lists. A trusted authority (TA) is used to issue secret keys as a third party. This paper emphasizes on key management and it also improves attributes policy management and user revocation. Proposed scheme provides a full control on data owner as much as he changes policy. It supports a flexible policy revocation in CP-ABE and it saves time consuming by comparing with traditional CP-ABE

Studies on Physicochemical Properties and Elemental Analysis of Citron and Pomelo Fruits Peels Pectins

This research work is aimed to study the physicochemical properties and elemental analysis of citron and pomelo fruits peels pectins which have been extracted. In the present work, determination of some physicochemical parameters such as color, moisture content, ash content, setting time, equivalent weight, methoxyl content, anhydrouronic acid (AUA), degree of esterification (DE), molecular weight and elemental analysis of the prepared pectins have been performed. The color of citron peel pectin and pomelo peels pectins were determined by eye test. Moisture contents were determined by oven drying method, ash contents were determined by the method used in the food analysis, setting times were determined by a simple method of Owens, equivalent weights, methoxyl contents, anhydrouronic acids (AUA) and degree of esterifications (DE) were determined by titrimetric method, molecular weights were determined by viscometric method and elemental analysis were determined by Energy Disperse X-ray Fluoresce (ED XRF) analysis. Physicochemical properties of the citron and pomelo peels pectins were found to be white-yellow and brown-yellow colors, 7.96% and 2.15 % of moisture contents, 1.07 % and 5.72 % of ash contents, 5 minutes and 12 minutes of  setting times, 2380 and 2500 of equivalent weights, 1.86 % and 2.29 % of methoxyl contents, 17.95 % and 20.06 % of anhydrouraonic acid contents and 58.83 % and 64.92 % of degree of estrifications and 6.61´ 104and 5.62 × 104 Da of molecular weights respectively. In the citron pectin, the relative abundance of Ca, K, Fe, Cu, Sr 20.06 % of anhydrouraonic acid contents and 58.83 % and 64.92 % of degree of estrifications and 6.61´ 104and 5.62 × 104 Da of molecular weights respectively. In the citron pectin, the relative abundance of Ca, K, Fe, Cu, Sr and Zn has been found to be 61.87 %, 22.67 %, 7.94 %, 3.11 %, 2.29 % and 2.13%, respectively (determined by ED XRF technique). Whereas in the pomelo pectin, the relative abundance of Ca, K, Fe, Cu, Sr and Zn has been found to be 66.32 % 11.82 %, 11.73 %, 2.75 %, 2.32 % and 5.06 %, respectively

A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow in IoT-Based Multimedia Communication Systems

The development of the Internet of Things (IoT) stimulates many research works related to Multimedia Communication Systems (MCS), such as human face detection and tracking. This trend drives numerous progressive methods. Among these methods, the deep learning-based methods can spot face patch in an image effectively and accurately. Many people consider face tracking as face detection, but they are two different techniques. Face detection focuses on a single image, whose shortcoming is obvious, such as unstable and unsmooth face position when adopted on a sequence of continuous images; computing is expensive due to its heavy reliance on Convolutional Neural Networks (CNNs) and limited detection performance on the edge device. To overcome these defects, this paper proposes a novel face tracking strategy by combining CNN and optical flow, namely, C-OF, which achieves an extremely fast, stable, and long-term face tracking system. Two key things for commercial applications are the stability and smoothness of face positions in a sequence of image frames, which can provide more probability for face biological signal extraction, silent face antispoofing, and facial expression analysis in the fields of IoT-based MCS. Our method captures face patterns in every two consequent frames via optical flow to get rid of the unstable and unsmooth problems. Moreover, an innovative metric for measuring the stability and smoothness of face motion is designed and adopted in our experiments. The experimental results illustrate that our proposed C-OF outperforms both face detection and object tracking methods

Myanmar dengue outbreak associated with displacement of serotypes 2, 3, and 4 by dengue 1

Published version is free to read on publisher website In 2001, Myanmar (Burma) had its largest outbreak of dengue—15,361 reported cases of dengue hemorrhagic fever/dengue shock syndrome (DHF/DSS), including 192 deaths. That year, 95% of dengue viruses isolated from patients were serotype 1 viruses belonging to two lineages that had diverged from an earlier, now extinct, lineage sometime before 1998. The ratio of DHF to DSS cases in 2001 was not significantly different from that in 2000, when 1,816 cases of DHF/DSS were reported and dengue 1 also was the most frequently isolated serotype. However, the 2001 ratio was significantly higher than that in 1998 (also an outbreak year) and in 1999, when all four serotypes were detected and serotypes 1, 2, and 3 were recovered in similar numbers. The large number of clinical cases in 2001 may have been due, in part, to a preponderance of infections with dengue 1 viruses