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Business Process includes workflows which integrated some critical activities among different departments. Workflow management is a quickly evolving technology that can assist business process reengineering and accomplish full or partial automatic processing of a business. Workflow plays a critical role in the ERP (Enterprise Resources Planning) system since it aims to achieve maximum satisfaction for both employee and customers. Any workflow that is irrationally and irregularly designed will not only lead to an ineffective operation of enterprise but also limit the implementation of an effective business strategy. The research proposes an algorithm which makes use of the workflow’s executed frequency, the concept of distance-based outlier detection, empirical rules and Method of Exhaustion to mine three types of workflow outliers, including less-occurring workflow outliers of each process (abnormal workflow of each process), less-occurring workflow outliers of all processes (abnormal workflow of all processes) and never-occurring workflow outliers (redundant workflow). In addition, this research adopts real data to evaluate workflow mining feasibility. In terms of the management, it will assist managers and consultants in (1) controlling exceptions in the process of enterprise auditing, (2) simplifying the business process management by the integration of relevant processes and (3)persisting to improve the quality of business process and enhance enterprise performance.

In this paper, we aim to stabilize the unstable system by loop shaping method with H∞ Controller. Moreover, after stabilizing the system, we also need to modify the system which is unstable due to time-delay elements by Internal Model Controller considering the uncertainty of control object and time-delay elements. Time-delay will happen during long distance communication. Therefore, when we have a control object in a long distance, the transmitted reference signal will certainly be delayed. For this reason, even though we stabilize the control object, it will be an unstable system by time-delay elements. In this paper, we consider an unstable control object, such as, ballistic missile. Generally, it is required to be controlled from a long distance. Therefore, we stabilize the control object with H∞ controller and modify the system later .It is unstable due to time-delay elements by Internal Model Controller.

Stepper motor is found in a lot of applications such as computer peripherals, business machines, process control, machine tools and robotics. Especially in different areas of robotics, process control like silicon processing, I.C. Bonding and Laser trimming applications, it is necessary to control the stepper motor from remote places. The present paper describes a remote angular position control system of stepper motor using DTMF (Dual-Tone Multi-Frequency) Technology as an alternative means of communication using Radio Frequency (RF) with advantages of simplicity and audibility. DTMF Technology has been used here to implement acoustic communication for controlling the angular position of the stepper motor remotely anywhere in the world through mobile phone network. The desired value of angular position signals, in terms of DTMF tones have been generated by using a mobile phone. The microcontroller has been used to implement the control algorithm after receiving the DTMF tone. Since no extra transmitting and receiving device is needed except mobile phone, the system is very much simple, rugged, and cost effective. The experimental results indicate that the system has high resolution, repeatability and error is also within tolerable limit.

Steganography (a rough Greek translation of the term Steganography is secret writing) has been used in various forms for 2500 years. It has found use in variously in military, diplomatic, personal and intellectual property applications. Briefly stated, steganography is the term applied to any number of processes that will hide a message within an object, where the hidden message will not be apparent to an observer. The original steganographic applications used “null ciphers”, or clear text. A null cipher conveys that the message has not been encrypted in any way, whether it is using basic character shifting, substitution or advanced modern day encryption algorithm. So, the message is often in plain view but for a reason can either not be detected as being present or cannot be seen once detected. As is common with cryptography, steganography has its roots in military and government applications and has advanced in ingenuity and complexity. In this paper, Network Based Public Key Method for Steganography is proposed under RSA cryptographic assumptions.

We propose a moving target tracking algorithm using the measurement signals of time difference of arrival (TDOA) and the frequency difference of arrival (FDOA) in this paper. The geolocation system using TDOA measurement does not have enough accuracy to estimate the position of target. We use both TDOA and FDOA measurement signals to estimate the target location and target’s velocity at discrete times. The Kalman filter performs remarkably in calculation and location estimation. However, the estimation error can be large when the priori noise covariances are assumed with improper values. Therefore, we offer an adaptive extended Kalman filter (AEKF) to update the noise covariance at every measurement and estimation process to find proper noise covariance at each steps. The simulation results show our proposed algorithm reduces the position error effectively and improves the accuracy of target tracking greatly.

Embedded systems are complicated, and a large number of these systems are widely used today. In embedded systems, the types of processings to be executed are limited, and many processes are executed periodically. In such systems, we need to reduce the overhead of periodic execution control and the dispersion of the processing time. ART-Linux has been proposed as a conventional real-time operating system that can be used for this purpose in various devices such as robots. In this paper, we discuss the periodic execution control of ART-Linux and clarify several problems. Next, we propose a design for sophisticated periodic execution control in order to solve these problems. In addition, we discuss the realization of periodic execution control, and the effects of the proposed control. Finally, we show the results of our evaluation for the release and the wait to clarify the effects of the proposed control.

This paper is concerned with full vehicle nonlinear active suspension systems, in which each suspension unit consists of three components: a nonlinear spring, a nonlinear damper and a nonlinear hydraulic actuator. An artificial intelligence Neural Control technique has been presented in this paper to design a robust controller for full vehicle nonlinear active suspension systems. The advantage of this controller is that it can handle the nonlinearities faster than other conventional controllers. Neural controller are devised to adjust the hydraulic actuators forces to minimize the vertical displacement at each suspension point when travelling on rough roads and to reduce the inclination of the vehicle during sudden manoeuvres such as sharp bending and braking. The robustness of the proposed controller is being assessed by comparing with Fractional Order PIiDd (FOPID) controller. To validate the robustness of the proposed approach, the cases with six types of disturbances will be investigated. The results show that intelligent neural controller have improved dynamic response measured by a decreased cost function.

In this paper we have revived and proposed tuning strategy for SISO Dynamic matrix control (DMC). The tuning strategy achieves set point tracking with minimal overshoot and modest manipulated input move sizes and is applicable to a broad class of open loop stable processes. The simulation of a simple FOPDT model is carried out using advanced control algorithms, specifically these advanced algorithms are the DMC, IMC-based PID controller, and their performance is compared with PID Controller which is tuned using Z-N tuning method.

In this paper, we introduce the new method for volume measurement of objects. A machine vision algorithm is developed which estimates human hand volume from two-dimensional digital images that captured from different views. The proposed algorithm is general and can easily be used for other objects. The novelty of our method lies on the use of ordinary devices, simple algorithm for implementation, and high speed in running program. Main idea includes volume measuring by using projection of object image from different views. Error compensation in object detection and feature extraction performed using suitable estimators such as adaptive neuro fuzzy inference system, Support Vector Regression and new fuzzy weighted support vector regression. This new regressor extremely decreases the errors. Ability of the proposed system is studied in volume measurement of cube and human hand.

We propose a development tool, called E-Fuzz-Wizard to help design concurrent embedded fuzzy systems. It composes of three portions: software that enables the rapid prototype of fuzzy systems, the hardware prototype board, and the example kit . The software has a visual interface which allows the user to specify the requirement of fuzzy systems in terms of the fuzzy set characteristics, inference methods, rules and defuzzification method. It generates the code in C that is runnable in the chosen microcontroller platform. The hardware is based on a PIC development kit for programming a prototype example. The example kit contains example code and demonstration hardware for learning fuzzy system development for embedded systems.