The article considers the use of cascade and multi-pass implementation models of corporate information systems in case of business and technological uncertainty. A review of waterfall, iterative and spiral ERP-systems implementation models is given. The business and technological uncertainties inherent in software systems implementation projects are introduced. The basic principles of development complex applications in ERP-systems are analyzed, including the rules of evolution and functionality. One compares business uncertainty for refined requirements in the waterfall and Agile-based implementation models, which operate with a change request and allocation requirements to a new round of development respectively. There is no or minimal technological uncertainty in ERP-systems implementation projects, however high business uncertainty exists, which can not be decreased by any basic implementation approaches. The application area of the waterfall and multi-pass implementation models is clarified for ERP projects from scratch, rollout and evolution under business uncertainty.

Proceedings of the 1^st International Conference on Material Processing and Technology(ICMProTech, 2021)14-15 July 2021 This 1^st International Conference on Material Processing and Technology 2021 (ICMProTech) was held virtually on the 14-15 July 2021. Initially, it was planned to be held physically at Universiti Malaysia Perlis, Malaysia. However, this conference was changed to a virtual format due to the current situation of covid-19 and travel restrictions in Malaysia and also other countries. The virtual format of this conference was a success where all the researchers gathered on the Google Meet platform regardless of the time zone and location and share experiences and research findings in their respective fields. The location of the organizer was in Universiti Malaysia Perlis, Malaysia. The main objective of this conference is to provide a forum for researchers, educators, students and the industries to share and exchange ideas and research findings in respective fields of research. This conference is also intended to give an opportunity to both academia and industries to communicate challenges faced in current research and the industries. As such, this conference will expand networks and foster potential collaborations between researchers in the same field of research. List of Editors and Reviewers are available in this pdf.

This work reports an energy-efficient strategy for realizing linear unipolar giant magnetoresistance (GMR) switch by using electric fields (E-fields). Herein, a modified spin-valve (SV) structure of double antiferromagnetic (AFM) pinning layers was adopted. Since the magnetization direction of ferromagnetic (FM) layer can be controlled via the strain-mediated magnetoelectric (ME) effect, a multiferroic heterostructure of SV/PMN-PT was fabricated. By applying an E-field on the PMN-PT substrate, an effective magnetic field H_eff was produced along the [1-10] direction of PMN-PT. It can turn the magnetic moments of FM layer toward [1-10] direction. Accordingly, a linear GMR curve with a wide sensing field range was achieved. This E-field-induced linear magnetic switch can satisfy the demand for different switching field ranges in the same application system.

The main objective of this work is to develop a numerical analysis of a shredder machine to generate rubber particulate material for its implementation in different sectors such as construction, artisanal, and road as aggregates in the raw material. As part of the methodology, modern design theories were considered to select the materials for the different elements of the crushing machine; for this purpose, the SolidWorks design software was used to obtain a conceptual design model of the prototype. The mathematical and numerical results indicate that the prototype of the crushing machine will work in good conditions, always guaranteeing high levels of safety and performance based on the mechanical and physical properties of the materials selected through the design theories. Likewise, this machine will be low-cost to promote growth and competitive capacity for studies of different products with rubber aggregates to solve global environmental problems. Finally, the physical behavior of the new materials can be obtained with rubber particles aggregate will allow evaluating and optimizing a different kind of products that can be used in different sectors aiding sustainability sources.

The objective of this paper is to show an intervention analysis with autoregressive integrated moving average models for time series of air pollutants in a Latin American megacity. The interventions considered in this study correspond to public regulations for the control of urban air quality. The study period comprised 10 years. Information from 10 monitoring stations distributed throughout the megacity was used. Modelling showed that setting maximum emission limits for different pollution sources and improving fuel were the most appropriate regulatory interventions to reduce air pollutant concentrations. Modelling results also suggested that these interventions began to be effective between the first 4 days-15 days after their publication. The models developed on a monthly timescale had a short autoregressive memory. The air pollutant concentrations at a given time were influenced by the concentrations of up to three months immediately preceding. Moving average term of the models showed fluctuations in time of the air pollutant concentrations (3 months - 14 months). Within the framework of the applications of physics for the air pollution control, this study is relevant for the following findings: the usefulness of autoregressive integrated moving average models to temporal simulate air pollutants, and for its suitable performance to detect and quantify regulatory interventions.

With the rapid growth of the number of motor vehicles in the city, traffic congestion is more serious every day, part of it is caused by the coding delay with the red light on, not real traffic jams, now we need a control system that can really change the traffic flow. In this paper, ITLCS (intelligent traffic signal control system) based on OpenCV image processing technology is proposed to adjust the timing of traffic signal according to road density, instead of setting a level that is balanced with other lanes, so that high-load traffic lanes can be used for a long time. The camera facing the roadway in the system takes pictures of the driving route, then takes pictures of the driving density of pedestrians and vehicles, and compares each image through processing technology, after the system is processed, the traffic light signal timing can be adjusted immediately, which greatly reduces the time spent on the inactive green light and can effectively deal with the traffic congestion problem.

Security protocols have been designed to protect the security of the network. However, many security protocols cannot guarantee absolute security in real applications. Therefore, security tests of the network protocol become particularly important. In this paper, firstly, we introduce SmartVerif, which is the first formal analysis tool to automatically verify the security of protocols through dynamic strategies. And then, we use SmartVerif to verify the pseudo-randomness of the encapsulated key of the Two-Pass AKE protocol, which was proposed by Liu’s in ASIACRYPT in 2020. Finally, we summary our work and show some limitations of SmartVerif. At the same time, we also point out the direction for future improvement of SmartVerif.

In this paper, we aim at the fuzzy uncertainty caused by noise in pattern data. The advantages of PCM algorithm to deal with noise and interval type-2 fuzzy sets to deal with high-order uncertainties are used, respectively. An interval type-2 probability C-means clustering (IT2-PCM) based on penalty factor is proposed. The performance of the algorithm is evaluated by two sets of data sets and two groups of images segmentation experiments. The results show that IT2-PCM algorithm can assign proper membership degrees to clustering samples with noise, and it can detect noise points effectively, and it has good performance in image segmentation.

Masonry constructions built with mortar and solid fired clay bricks are subject to: high cement content, excessive water-cement ratio causing problems of mortar shrinkage during curing and differential movements between the brick and mortar caused by movements due to wind or seismic events. Earth movements generate some failures in simple masonry walls and confined masonry in solid brick joints, mainly with failure inclination angles varying from 45 degrees to 50 degrees. The objective of this research work was to estimate the flexural bond strength of the mortar joint and the solid fired clay brick and thus establish design parameters for non-structural masonry in the municipality of Ocanña, Colombia. From the fired clay brick manufacturers, 18 in total, simple random sampling was used to determine the sample size, 4 manufacturers were randomly selected. In addition, the characterization of the solid fired clay brick units was carried out with respect to their compressive strength, initial absorption rate and final absorption, as well as the mortar with respect to its compressive strength at 28 days, according to the Colombian standard for earthquake resistant constructions; for the determination of the flexural strength of the bonding mortar and solid brick units, a semiautomatic machine for flexural strength testing of masonry units, Pinzuar model PC-13, with a force measurement of 1000 N and an accuracy of 0.1 N, was designed. The flexural strength at the masonry joint was obtained for mortar type M with a value of 0.26 MPa, with a standard deviation of 0.01 MPa and a coefficient of variation of 4.72%. As for mortars type N and S, the average strength value was equal to 0.24 MPa for the two types of mortar, with standard deviation of 0.03 MPa and 0.01 MPa respectively, and coefficient of variation of 11.4% and 3.18% respectively. Given the importance of the variables, an interpretation of physical of the relationship between the properties was made: compressive strength of the solid fired clay brick and flexural strength at the masonry joint, since their average values were similar.

The effect of current density and current ratio in the cathodic and anodic half-cycles during prolonged (180 minutes) plasma electrolytic oxidation (PEO) of AMg6 wrought alloy on the oxide layer wear and corrosion resistance were studied. It was established that the best wear resistance is achieved in the oxide layers obtained in the “soft sparking” mode (negative-to-positive pulse ratios of 1.15–1.30) at current densities of 9–15 A dm⁻², and the best set of wear resistance and corrosion resistance – in the oxide layers obtained in “symmetrical” mode (negative-to-positive pulse ratio of 1.00).