On cryptographic parameters of permutation polynomials of the form xrh(x(q−1)/d)x^rh(x^{(q-1)/d})

The differential uniformity, the boomerang uniformity, and the extended Walsh spectrum etc are important parameters to evaluate the security of S(substitution)-box. In this paper, we introduce efficient formulas to compute these cryptographic parameters of permutation polynomials of the form $x^rh(x^{(q-1)/d})$ over a finite field of $q=2^n$ elements, where $r$ is a positive integer and $d$ is a positive divisor of $q-1$. The computational cost of those formulas is proportional to $d$. We investigate differentially 4-uniform permutation polynomials of the form $x^rh(x^{(q-1)/3})$ and compute the boomerang spectrum and the extended Walsh spectrum of them using the suggested formulas when $4\le n\le 10$ is even, where $d=3$ is the smallest nontrivial $d$ for even $n$. We also investigate the differential uniformity of some permutation polynomials introduced in some recent papers for the case $d=2^{n/2}+1

Instructional Design for a Web-Enhanced Course in Construction Engineering and Management Education

In the traditional classroom setting, the instructor controls the learning environment and students are considered passive learners into whom knowledge can be transferred. However, today"s students are different from previous generations in the way they absorb, interpret, and process new information since they are accustomed to using technologies in nearly every part of life. They much prefer being networked and being interactive in their own learning process. In addition, they like random access to educational materials with support of web technologies. By understanding the nature of today"s students, educators may take advantage of using web technologies to enhance student learning. Through the use of web technologies in the learning environment, students will be able to gain significant learning benefits. However, when designing web-enhanced instructions without the knowledge of learning theories and instructional design principles, the instruction often fails in providing the real content for students, which means that the use of web technologies does not influence the student"s achievement. Therefore, this paper investigates how web technologies can be effectively incorporated into a construction engineering and management course, based on the understanding of learning theories and instructional design principles. This paper also describes three phases to develop a web-enhanced course and presents the application of three phases to developing a model course

Instructional Design for a Web-Enhanced Course in Construction Engineering and Management Education

In the traditional classroom setting, the instructor controls the learning environment and students are considered passive learners into whom knowledge can be transferred. However, today"s students are different from previous generations in the way they absorb, interpret, and process new information since they are accustomed to using technologies in nearly every part of life. They much prefer being networked and being interactive in their own learning process. In addition, they like random access to educational materials with support of web technologies. By understanding the nature of today"s students, educators may take advantage of using web technologies to enhance student learning. Through the use of web technologies in the learning environment, students will be able to gain significant learning benefits. However, when designing web-enhanced instructions without the knowledge of learning theories and instructional design principles, the instruction often fails in providing the real content for students, which means that the use of web technologies does not influence the student"s achievement. Therefore, this paper investigates how web technologies can be effectively incorporated into a construction engineering and management course, based on the understanding of learning theories and instructional design principles. This paper also describes three phases to develop a web-enhanced course and presents the application of three phases to developing a model course

Real-time Health Monitoring of Wiring Systems for Smart Manufacturing

In manufacturing facilities, wiring systems transmit and receive signals to communicate between modules and systems. Stress conditions may degrade the performance of wiring systems, causing intermittent faults, interlocking, and eventually facility downtime. Timely maintenance of wiring systems is required to ensure the reliability and availability of manufacturing facilities.This presentation discusses a non-destructive method to allow for condition-based maintenance of wiring systems. Experimental results demonstrate the proposed method can serve as a real-time health indicator of wiring systems, and can be used for proactive maintenance planning toward near zero downtime

AN APPROACH TO CONTINUOUS PROCESS IMPROVEMENT (CPI) BASED ON CASE-BASED REASONING AND PROCESS CHANGE PATTERNS

Today''''''''s business environments are characterized by fierce competitions and rapid changes. Accordingly, organizations must retain a quick adaptability, which capability can be achieved and maintained by sufficient attention to the whole lifecycle of business process management. In order to accomplish such agility, organizations need to improve their business processes continuously in response to changes in the business environments. In this paper, we present an approach to continuous process improvement based on case-based reasoning and business process change patterns. The approach includes a decision support feature and suggests a specific business process improvement guide for process improvement staff. It is expected that the proposed approach, through provision of such a concrete and detailed guide, will increase the efficiency and effectiveness of process improvement efforts.Jung S, 2009, INT J INNOV COMPUT I, V5, P4961Jung S, 2009, EXPERT SYST APPL, V36, P5695, DOI 10.1016/j.eswa.2008.06.099KIM D, 2009, ICIC EXPRESS LETT, V3, P343Zhao LD, 2008, INT J INNOV COMPUT I, V4, P2955Damij N, 2008, INFORM SOFTWARE TECH, V50, P1127, DOI 10.1016/j.infsof.2007.11.004Weber B, 2008, DATA KNOWL ENG, V66, P438, DOI 10.1016/j.datak.2008.05.001Law CCH, 2008, EXPERT SYST APPL, V34, P2342, DOI 10.1016/j.eswa.2007.03.004Tominaga H, 2008, INT J INNOV COMPUT I, V4, P513MANSAR S, 2008, EXPERT SYSTEMS APPL, V36, P3248van der Aalst WMP, 2007, DATA KNOWL ENG, V61, P1, DOI 10.1016/j.datak.2006.04.005*GARTN GROUP, 2007, CREAT ENT LEV 2007 CKIM D, 2007, P 2 INT C CONV INF TADAMS M, 2006, P COOPIS 06, P291Zhou GF, 2005, INT J INNOV COMPUT I, V1, P673VANDONGEN B, 2005, LNCS, V3536van der Aalst WMP, 2003, DATA KNOWL ENG, V47, P237, DOI 10.1016/S0169-023X(03)00066-1Van der Aalst WMP, 2003, DISTRIB PARALLEL DAT, V14, P5, DOI 10.1023/A:1022883727209MANSAR SL, 2003, ELECT J KNOWLEDGE MA, V1, P113SMITH H, 2003, BPM 3 WAVEvan der Aalst WMP, 2003, LECT NOTES COMPUT SC, V2678, P1CROWE TJ, 2002, BUSINESS PROCESS MAN, V8, P490van Hee KM, 2000, LECT NOTES COMPUT SC, V1806, P142Castano S, 1999, DATA KNOWL ENG, V31, P253Nolan AJ, 1999, IEEE SOFTWARE, V16, P97, DOI 10.1109/52.744576Bunke H, 1998, PATTERN RECOGN LETT, V19, P255Reichert M, 1998, J INTELL INF SYST, V10, P93LAWRENCE P, 1997, WORKFLOW HDB 1997RIEHLE D, 1996, THEOR PRACT OBJ SYST, V2, P3

PHM-based wiring system damage estimation for near zero downtime in manufacturing facilities

Wiring system is usually installed in manufacturing facilities to construct a data network. During the operation of the manufacturing facility, environmental and operational stress conditions may degrade material properties of the wires, and cause wire faults and failures, which deteriorate the electrical connection within and out of the wiring system. Conventional health monitoring approaches, such as time domain reflectometry, have been actively developed to detect wire faults with improved accuracy. However, these approaches often require external devices connected with the wiring system, which may interfere system operation, and lead to inevitable system downtime of the facility for maintenance. In order to eliminate unnecessary system downtime, alternative means for wiring health monitoring is required. This paper discusses a prognostics and health management(PHM)-based means required for wiring system maintenance planning using digital signal characteristics. Degradation of wire material property causes impedance discontinuities, which in turn deteriorate the integrity of the transmitted signal. The extent of wire damage can be detected by monitoring the integrity of digital signal. In order to demonstrate the ability of digital signal for wire health monitoring, wire abrasion tests were performed with continuous monitoring of digital signal characteristics. The test results showed the changes in digital signal characteristics and the extent of wire damage were highly correlated, and could detect multiple failure modes of wiring system without requiring additional sensing or monitoring devices. Thus, digital signal based wiring health monitoring should enable improved system maintenance planning towards near zero downtime

Efficient Implementations of Rainbow and UOV using AVX2

A signature scheme based on multivariate quadratic equations, Rainbow, was selected as one of digital signature finalists for NIST Post-Quantum Cryptography Standardization Round 3. In this paper, we provide efficient implementations of Rainbow and UOV using the AVX2 instruction set. These efficient implementations include several optimizations for signing to accelerate solving linear systems and the Vinegar value substitution. We propose a new block matrix inversion (BMI) method using the Lower-Diagonal-Upper decomposition of blocks matrices based on the Schur complement that accelerates solving linear systems. Compared to UOV implemented with Gaussian elimination, our implementations with the BMI result in speedups of 12.36%, 24.3%, and 34% for signing at security categories I, III, and V, respectively. Compared to Rainbow implemented with Gaussian elimination, our implementations with the BMI result in speedups of 16.13% and 20.73% at the security categories III and V, respectively. We show that precomputation for the Vinegar value substitution and solving linear systems dramatically improve their signing. UOV with precomputation is 16.9 times, 35.5 times, and 62.8 times faster than UOV without precomputation at the three security categories, respectively. Rainbow with precomputation is 2.1 times, 2.2 times, and 2.8 times faster than Rainbow without precomputation at the three security categories, respectively. We then investigate resilience against leakage or reuse of the precomputed values in UOV and Rainbow to use the precomputation securely: leakage or reuse of the precomputed values leads to their full secret key recoveries in polynomial-time

Modeling and Implementation of the Affordance-based Human-Machine Collaborative System

Modeling and control of human-involved manufacturing systems poses a huge challenge on how to model all possible interactions among system components within the time and space dimensions. As the manufacturing environment are getting complicated, the importance of human in the manufacturing system is getting more and more spotlighted to incorporate the manufacturing flexibility. This paper presents a formal modeling methodology of affordance-based MPSG (Message-based Part State Graph) for a human-machine collaboration system incorporating supervisory control scheme for flexible manufacturing systems in automotive industry. Basically, we intend to extend the existing model of affordance-based MPSG to the real industrial application of humanmachine cooperative environments. The suggested extension with the real industrial example is illustrated in three steps; first, the manufacturing process and relevant data are analyzed in perspectives of MABA-MABA and the supervisory control; second, the manufacturing processes and task allocation between human and machine are mapped onto the concept of MABA-MABA; and the last, the affordance-based MPSG of humanmachine collaboration for the manufacturing process is presented with UMLs for verification.clos