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Parameters Estimation in a General Failure Rate Semi-Markov Reliability Model

M. Fathizadeh, K. Khorshidian
Pages: 245 - 252
A semi-Markov process with four states, has been applied for modeling two dissimilar unit cold standby systems. At the moment that operating unit fails, the standby unit is switched to operate by using a switching device that is available with unknown probability alpha1. It is also assumed that the failure...

Planning Accelerated Life Tests for Burr Type X Failure Model with Type I Censoring

Nesar Ahmad, Sabiha Khan, M.G.M. Khan
Pages: 266 - 287
In this paper, we discuss the optimal accelerated life test plans for Burr type X distribution with log-linear model under periodic inspection and Type I censoring. We obtain the maximum likelihood estimators, the Fisher information and the asymptotic covariance matrix of the maximum likelihood estimators....

Bayesian Inference on the Generalized Gamma Distribution Based on Generalized Order Statistics

M. Maswadah, Ali M. Seham, M. Ahsanullah
Pages: 356 - 377
In this paper, the confidence intervals for the generalized gamma distribution parameters are derived based on the Bayesian approach using the informative and non-informative priors and the classical approach, via the Asymptotic Maximum likelihood estimation, based on the generalized order statistics....

Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model

Devrim Bilgili, Nader Ebrahimi
Pages: 392 - 402
Many important problems in evolutionary biology begin with observations of phenotypic variation. Suppose time to an event-data are used to map quantitative trait loci (QTL) and underlying population is a mixture of susceptible and non-susceptible subjects. If the cured subjects are ignored we may fail...

A Note on a Characterization of Gompertz-Verhulst Distribution

M. Ahsanullah, M. Shakil, B.M. Golam Kibria
Pages: 17 - 26
Characterization of a probability distribution plays an important role in probability and statistics. This paper considers a new characterization of Gompertz-Verhulst distribution. It is hoped that the findings of the paper will be useful for researchers in different fields of applied sciences.

On Characterization of Gompertz Distribution by Properties of Generalized Record Values

S. Minimol, P. Yageen Thomas
Pages: 38 - 45
In this chapter, we derive some recurrence relations satisfied by single and product moments of generalized record values arising from Gompertz and inverted Gompertz distributions. Further, we have obtained characterization of Gompertz and inverted Gompertz distributions based on certain properties of...

The Kumaraswamy-Half-Cauchy distribution: properties and applications

Indranil Ghosh
Pages: 122 - 134
In this article, based on the half-Cauchy distribution, we propose a new distribution called Kumaraswamy- Half-Cauchy distribution. Various explicit expressions for it’s moments, generating and quantile functions, mean deviations, reliability parameter, density function of the order statistics and their...

Emerging Risks: Methodology, Classification and Policy Implications

Ortwin Renn
Pages: 114 - 132
Good risk governance seems to rest on the three components: knowledge, legally prescribed procedures and social values. All three components are of particular importance for assessing and managing emerging risks, which are characterized by a lack of knowledge about the likelihood and magnitude of potential...

Identification of Global Indicators for Regulatory Risk Management in Production Platforms - Case Study of Brazilian Industry

Alex Garcia de Almeida, Marco Antonio Gaya de Figueiredo
Pages: 141 - 150
This study aims to analyze different indicator’s programs from regulators and other organizations, select and apply methods to normalize and compose global indicator. Using obtained information related to risk management system and incidents from 67 oil and gas production platforms in Brazil, the results...

An Empirical Research on the Relationship between Property Insurance Premiums and Macroeconomic Variables Based on ARDL Model

Guiyun You, Shanshan Cao, Jing Feng, Shu Yu
Pages: 175 - 181
Given that most of property insurance policies are one-year contracts and have a high renewal, this paper establishes Auto-regressive Distributed Lag Model (ARDL) which considers adding lags of the dependent variable and/or lags of some independent variables. Based on the data of Insurance Premiums in...

Characterizations of a Class of Distributions by Dual Generalized Order Statistics and Truncated Moments

Filippo Domma, G.G. Hamedani
Pages: 222 - 234
The problem of characterizing a distribution is an important problem which has recently attracted the attention of many researchers. Thus, various characterizations have been established in many different directions. The present work deals with the characterizations of a general class of distributions....

Analysis of Covariance of Reinforced Balanced Incomplete Block Designs With a Single Explanatory Variable

D.K. Ghosh, M.G. Bhatt, S.C. Bagui
Pages: 235 - 246
Reinforced balanced incomplete block designs (BIBDs) are very useful in statistical planning of experiments as they can be constructed for any number of treatments for given numbers of replications. Das (1958) was first to introduce the statistical analysis of variance (ANOVA) of these designs, and in...

Interactive Linear Models in Survey Sampling

Bikas K. Sinha, Pulakes Maiti
Pages: 263 - 272
Considered is a linear ‘interactive’ model in the context of survey sampling. This situation arises when investigator and/or supervisor interventions are contemplated in the responses. An appropriate linear model is introduced to represent the response profile(s) arising out of each respondent-cum-investigator-cum-supervisor...

A Cooperative Game Theoretical Approach to Risk Analysis, Using Network Structure

Jun-ichi Takeshita, Hiroaki Mohri
Pages: 43 - 48
The principal aim of this paper is to introduce the framework for a cooperative game theoretical approach to risk analysis using network structure. Probabilistic risk analysis (PRA) is a common methodology for evaluating risks associated with real-world network structure. Although there are numerous...

The Crisis of Undercoordination

Lotfi A. Zadeh
Pages: 59 - 60
Technological progress—especially in the realms of information processing, communication, transportation, commerce and distribution of energy—is leading to an accelerated growth in interdependence on all levels of modern society. A well-known result in systems analysis is that highly interdependent large-scale...

Volatility Forecasting in Financial Risk Management with Statistical Models and ARCH-RBF Neural Networks

Dusan Marcek, Lukas Falat
Pages: 77 - 95
As volatility plays very important role in financial risk management, we investigate the volatility dynamics of EUR/GBP currency. While a number of studies examines volatility using statistical models, we also use neural network approach. We suggest the ARCH-RBF model that combines information from ARCH...

Analogies in Entity Risk Mechanics

Milík Tichý
Pages: 96 - 107
Companies exposed to hazards can be paralleled to building and engineering Structures subjected to physical loads; see. Important analogies can be identified in various specific concepts, e.g., in size effect, instability, fatigue, and in many others.

Research on the BP-network-based Iris Recognition

Fengzhi Dai, Li Fan, Chunyu Yu, Bo Liu, Ruixiang Bai
Pages: 162 - 165
Iris recognition is the highly trusted identification recognition technology among methods of biological recognition. In this paper, we use the back propagation algorithm to train the neural network, so as to establish the iris recognition system model. The experiment demonstrates that it has a high...

Medical Image Recognition of Heart Regions by Deep Multi-Layered GMDH-Type Neural Network Using Principal Component-Regression Analysis

Tadashi Kondo, Junji Ueno, Shoichiro Takao
Pages: 166 - 172
In this study, a deep Group Method of Data Handling (GMDH)-type neural network using principal component-regression is applied to the medical image recognition of the heart regions. The deep GMDH-type neural network algorithm can organize the neural network architecture with many hidden layers fitting...

Security Evaluation System for Android Applications Using User's Reviews and Permissions

Naonobu Okazaki, Yoshihiro Kita, Kentaro Aburada, Mirang Park
Pages: 190 - 193
Leakage of the important data in mobile terminals by mal-applications is becoming a serious threat. The users must be careful not to install mal-applications. Application markets provide the application’s reviews and using permissions at the application downloading. However, the most of users check the...

Development of an Intelligent Assistant Robot based on Embedded RTOS

Fengzhi Dai, Yuan Li, Guodong You
Pages: 200 - 204
The paper focuses on the development of a wheeled intelligent robot that could be applied in hospitals or nursing homes for medical assistance. It includes two microcontrollers, MC9S12XS128 and STC89C52. The program is basically achieved on CodeWarrior 5.0, Keil ?Vision4 with the OpenCV library, porting...

Prototype of a Decision Table Generation Tool from the Formal Specification

Tetsuro Katayama, Kenta Nishikawa, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Pages: 205 - 208
This research has implemented a prototype of a decision table generation tool from the specification (the formal specification) described in a formal specification language. This paper uses the formal specification description language VDM++ which is the lightweight formal methods VDM (Vienna Development...

Evaluation of a safety map generated from a collection of difference of Individuals

Masao Kubo, Viet Chau Dan, Hiroshi Sato, Akira Namatame
Pages: 5 - 8
In this paper, a method to generate traffic safety maps automatically from a collection of GPS logs of a drivers' smartphone. So far methods that residents can update their traffic environment better by their opinion are required for. The proposed method which uses a collection of individual summary...

Disrupting the Industry with Play

Henrik Hautop Lund
Pages: 13 - 16
Decades of research into intelligent, playful technology and user-friendly man-machine interfaces has provided important insight into the creation of robotic systems and intelligent interactive systems which are much more user-friendly, safer and cheaper than what appeared possible merely a decade or...

Medical Image Analysis of Brain X-ray CT Images By Deep GMDH-Type Neural Network

Tadashi Kondo, Junji Ueno, Shoichiro Takao
Pages: 17 - 23
The deep Group Method of Data Handling (GMDH)-type neural network is applied to the medical image analysis of brain X-ray CT image. In this algorithm, the deep neural network architectures which have many hidden layers and fit the complexity of the nonlinear systems, are automatically organized using...

A Viewing Experiment on the Effects of Advertising Story

Yoji Kawamura
Pages: 92 - 95
This research lays out the conception and functions of developed Commercial Film Production Support System (CFPSS). The research then explains the results of a viewing experiment that utilized CFPSS. In this experiment where commercial films of beer were utilized, the following findings were obtained:...

Attitude/Position Estimation of Rigid-Body using Inertial and Vision Sensors

Shihao Sun, Yingmin Jia
Pages: 102 - 106
This paper is concerned with the attitude/position estimation of a rigid-body using inertial and vision sensors. By employing the Newton-Euler method, a kinematic model is developed for the rigid-body by treating the inertial measurements as inputs. Based on the coordinate transformation, a nonlinear...

Clinical Evaluation of UR-System 2 for Recovery of Motor Function of Plegic Upper Limb after Stroke

Hirofumi Tanabe, Masahiro Mitsukane, Norihiro Toya, Ryosuke Takeichi, Hitomi Hattori, Yoshifumi Morita, Yoshiaki Takagi, Norio Hasegawa
Pages: 33 - 36
We developed a new training system UR-System 2 for restoring motor function of the upper limb after stroke in patients with hemiplegia. And then, we conducted clinical evaluation of the therapeutic effect of training with the UR-System 2 in six patients. The UR-System uses Proprioceptive Neuromuscular...

MEMS Microrobot Controlled by Mounted Neural Networks IC with Two Types Actuators

Kei Iwata, Hirozumi Oku, Yuki Okane, Yohei Asano, Masaki Tatani, Yuki Ishihara, Kazuki Sugita, Satohiro Chiba, Satoko Ono, Mizuki Abe, Minami Takato, Ken Saito, Fumio Uchikoba
Pages: 213 - 216
We report the hexapod microrobot controlled by the bare chip IC of hardware neural networks. MEMS (micro electro mechanical systems) technology is used for fabrication of the microrobot. Lead zirconium titanate (PZT) and shape memory alloy (SMA) are used in each actuator, respectively. As the result,...

Parallel Relational Universes – experiments in modularity

Luigi Pagliarini, Henrik Hautop Lund
Pages: 253 - 256
We here describe Parallel Relational Universes, an artistic method used for the psychological analysis of group dynamics. The design of the artistic system, which mediates group dynamics, emerges from our studies of modular playware and remixing playware. Inspired from remixing modular playware, where...

Biped Robot Research at Waseda University

Kenji Hashimoto, Atsuo Takanishi
Pages: 261 - 264
Waseda University has researched on biped robots since 1967. This paper describes our latest biped robots: (i) WABIAN-2, (ii) a biped running robot, and (iii) WL-16. WABIAN-2 is a biped humanoid robot and has realized a human-like walk with the knees stretched by utilizing a 2-DOF waist mimicking a human’s...

Effective rocking motion for inducing sleep in adults - Verification of effect of mother’s embrace and rocking motion

Keishi Ashida, Yoshifumi Morita, Ryojun Ikeura, Kiyoko Yokoyama, Ming Ding, Yuki Mori
Pages: 285 - 290
We investigated the most effective rocking motion for inducing sleep in adults. We prepared ten types of rocking motions, including two types of mother’s rocking motions. The sleep-inducing effect of all the rocking motions was evaluated using Thurstone’s paired comparison method (Case V). From statistical...

Comparing EKF and SPKF Algorithms for Simultaneous Localization and Mapping (SLAM)

Zolghadr Javad, Yuanli Cai, Yekkehfallah Majid
Pages: 217 - 220
Simultaneous Localization and Mapping (SLAM) is the problem in which a sensor-enabled mobile robot incrementally builds a map for an unknown environment, while localizing itself within this map. A problem with detection of correct path of moving objects is the received noisy data. Therefore, it is possible...

Observer-based fault reconstruction for linear systems using adaptive sliding mode method

Hao Li, Ying Yang, Yifan Wei, Fengzhi Dai
Pages: 236 - 239
This paper studies the fault reconstruction problem for the continuous linear time-invariant system. A new disturbance-decoupled fault reconstruction design is proposed by cooperating with the idea of the adaptive sliding mode method. The new scheme does not impose restrictions on both the upper boundary...

The future of Robotics Technology

Luigi Pagliarini, Henrik Hautop Lund
Pages: 270 - 273
In the last decade the robotics industry has created millions of additional jobs led by consumer electronics and the electric vehicle industry, and by 2020, robotics will be a $100 billion worth industry, as big as the tourism industry. For example, the rehabilitation robot market has grown 10 times...

Playware ABC: Engineering Play for Everybody

Henrik Hautop Lund
Pages: 283 - 286
This paper describes the Playware ABC concept, and how it allows anybody, anywhere, anytime to be building bodies and brains, which facilitates users to construct, combine and create. The Playware ABC concept focuses engineering and IT system development on creating solutions that are usable by all kinds...

Playware ABC 2: a Disruptive Technology for Global Development

Henrik Hautop Lund
Pages: 287 - 290
The Playware ABC concept is used to create solutions that are usable by all kinds of users and contexts in our globalized society. In this paper, the Playware ABC can be exemplified with the development of the modular interactive tiles for health prevention and rehabilitation of anybody, anywhere, anytime....

A Simulation Model of Hall Sensor Misalignment in BLDC Motors

Chung-Wen Hung, Chu-Lin Hsu
Pages: 152 - 157
A model for simulating the output signals of Hall sensors installed with misalignment in a brushless DC (BLDC) motor is proposed in this paper. In the past, Hall sensors have been very widely adopted to evaluate the commutation timing and rotation speed of a BLDC motor. However, no simulation model is...

Bipedal robot locomotion modelling with virtual height inverted pendulum and preview control approaches in Simulink environment

Ramil Khusainov, Ilya Afanasyev, Leysan Sabirova, Evgeni Magid
Pages: 182 - 187
Control algorithms development for humanoid locomotion is difficult due to humanoid’s high number of Degrees of Freedom and system nonlinearity. Moreover, a humanoid may lose balance as its walking speed changes. We present AR-601M humanoid locomotion modelling with virtual height inverted pendulum and...

Strategic Network Formation with Structural Hole in R&D Projects: The Case Study on Japanese Cosmetic Industry

Iori Nakaoka, Yousin Park, Yunju Chen
Pages: 188 - 192
The arrangement of R&D refers to the issue of the linkage between structural holes in a network. In order to examine the linkages between multiple R&D projects in a company, we use the patent information as the index of R&D capability and examine the change of R&D network structures by social network...

A Method for Secure Communication Using a Discrete Wavelet Transform for Audio Data

Yuji Tsuda, Kouhei Nishimura, Haruka Oyaizu, Yasunari Yoshitomi, Taro Asada, Masayoshi Tabuse
Pages: 193 - 196
We developed a secure communication method using a discrete wavelet transform. Two users must both have a copy of the same piece of music to be able to communicate with each other. The music and the sender's message are encoded using the scaling coefficients obtained from a discrete wavelet transformation....

A Combination of Machine Learning and Cerebellar-like Neural Networks for the Motor Control and Motor Learning of the Fable Modular Robot

Ismael Baira Ojeda, Silvia Tolu, Moisés Pacheco, David Johan Christensen, Henrik Hautop Lund
Pages: 62 - 66
We scaled up a bio-inspired control architecture for the motor control and motor learning of a real modular robot. In our approach, the Locally Weighted Projection Regression algorithm (LWPR) and a cerebellar microcircuit coexist, in the form of a Unit Learning Machine. The LWPR algorithm optimizes the...

A parameter optimization method for Digital Spiking Silicon Neuron model

Takuya Nanami, Filippo Grassia, Takashi Kohno
Pages: 97 - 101
DSSN model is a qualitative neuronal model designed for efficient implementation in a digital arithmetic circuit. In our previous studies, we extended this model to support a wide variety of neuronal classes. Parameters of the DSSN model were hand-fitted to reproduce neuronal activity precisely. In this...

Improvement on LEACH Agreement of Mine Wireless Sensor Network

Yun-xiang Liu, Wei Zhang, Lan-feng Zhou
Pages: 102 - 105
Based on the characteristics of wireless sensor network communication in mine, LEACH protocol clustering is optimized, and the factors of energy and distance are considered fully. The selection of cluster head nodes is optimized, and a routing algorithm based on K-means ++ clustering is proposed. The...

Postural Sway Response to Local Vibratory Stimulation in Young, Middle-aged and Elderly People in Standing Position

Ayaka Yamada, Eishi Nakamura, Noritaka Sato, Yoshifumi Morita, Tadashi Ito, Yoshihito Sakai, Kazunori Yamazaki
Pages: 17 - 21
We investigated the postural sway in response to local vibratory stimulation applied to young, middle-aged and elderly people in the standing position. For this purpose we developed a variable-frequency vibratory stimulation device and measured the postural sway using a gravicorder. As a result, when...

Evaluation of a Narrative Discourse Generation System Based on the Concept of “Norm and Deviation”

Taisuke Akimoto, Takashi Ogata
Pages: 50 - 53
This paper deals with the verification of a narrative discourse system. The system automatically produces a variety of discourse structures from an inputted story structure through an iterative mutual action between a narrator and narratee mechanisms. We analyze a series of generated discourse structures...

Proposal and Its Evaluation of Neighbors Based Routing for ad hoc networks

Kentaro Aburada, Hisaaki Yamaba, Shinichiro Kubota, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
Pages: 120 - 124
In ad hoc networks, due to the mobility of nodes, communication links are unstable and restricted. As such, an efficient routing protocol is needed in order to solve these problems. In the present paper, we propose a neighbors based routing (NBR) protocol by constructing paths in an area in which a large...

A Multistage Heuristic Tuning Algorithm for an Analog Silicon Neuron Circuit

Ethan Green, Takashi Kohno
Pages: 58 - 61
This research looks at an ultra-low power subthreshold-operated silicon neuron circuit designed with qualitative neuronal modeling. One technical challenge to future implementation of such circuits is parameter tuning — a problem stemming from temperature sensitivity of subthreshold-operated MOSFETs...