Article
Green & Sustainable Science & Technology
Wei-Heng Huang
Summary: This article studies the performance of three S control charts in monitoring and detecting out-of-control processes in the manufacturing industry. The simulation results show that the lognormal S control chart has a smaller SDARL value compared to the other two S-charts.
Article
Engineering, Multidisciplinary
Saeed Maghsoodloo, Samira Shirzaei
Summary: This article extends the historical S-2 chart and discusses subgroups with different sample sizes. It compares all estimators of process standard deviation for more than M > 1 subgroups with equal sample sizes from a normal population. It also provides general probability control limits for S-2 charts of unequal sample sizes and exact alpha-level CONLs for S charts using the chi-square distribution.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2021)
Article
Mathematics
Honghao Zhao, Huajun Tang, Chuan Pang, Huimin Jiang
Summary: This study analyzes the performance of the EWMA chart in monitoring Poisson processes with linear trends and proposes an accurate approximation method for average run length. Optimal design tables and sensitivity analysis are provided to facilitate the use of the EWMA chart in practice.
Article
Engineering, Industrial
Wai Chung Yeong, Yen Yoon Tan, Sok Li Lim, Khai Wah Khaw, Michael Boon Chong Khoo
Summary: This paper improves the sensitivity of the existing run sum chart for shifts in the coefficient of variation (gamma) by proposing two types of adaptive schemes. The VSSI run sum gamma chart varies the sample size and sampling interval, while the VP run sum gamma chart varies not only n and h but also the size of each region of the run sum chart. Both charts outperform other existing charts in terms of sensitivity towards moderate and large shift sizes. The proposed charts also show sensitivity towards small shifts based on an actual industrial example.
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT
(2023)
Article
Multidisciplinary Sciences
Victor Hugo Morales, Carlos Arturo Panza
Summary: An adapted control chart scheme is proposed in this article to monitor the mean of samples from the skew-normal distribution in production processes or service operations with asymmetric data. Simulation results demonstrate that the proposed scheme has good detection ability in online monitoring and overcomes the drawbacks of existing schemes.
Article
Computer Science, Artificial Intelligence
Ali Yeganeh, Alireza Shadman
Summary: An Artificial Neural Network-based control chart was proposed to monitor linear profiles in phase II, with novel run rules contributing to enhanced efficiency and faster shift detection. Simulation results showed good performance based on the average run length criterion, and a systematic ANN-based diagnostic procedure was introduced to identify parameter changes in the process. The implementation of the scheme was illustrated through a real calibration example from the field of chemical engineering.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Interdisciplinary Applications
Nasir Abbas, Shabbir Ahmad, Muhammad Riaz
Summary: This article investigates the application of auxiliary information based control charts in process monitoring. The study finds that the performance of these control charts is greatly affected when the auxiliary variable and the study variable are strongly correlated. To address this issue, a modified control chart structure is proposed to increase the robustness against shifts in the auxiliary variable.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Ali Yeganeh, Alireza Shadman
Summary: This paper proposes a control chart based on Artificial Neural Networks (ANN) to monitor linear profiles in phase II, with novel run rules to enhance efficiency. Simulation results and a real calibration example illustrate the good performance and implementation process of the proposed scheme.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Interdisciplinary Applications
Ali Yeganeh, Alireza Shadman, Amirhossein Amiri
Summary: A new scheme combining multivariate exponentially weighted moving average control chart and novel run-rules is proposed to improve the performance of monitoring simple linear profiles in Phase II. The results demonstrate superior performance of the proposed scheme for monitoring linear profiles in Phase II, especially for small and moderate shifts, compared to existing methods based on average run length criterion.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Automation & Control Systems
Junyao You, Chengpu Yu
Summary: This paper focuses on identifying graphical autoregressive models with dynamical latent variables. The dynamic structure of latent variables is described by a matrix polynomial transfer function. By considering the sparse interactions between observed variables and the low-rank property of the latent-variable model, a new optimization problem combining sparsity and low-rank is formulated to identify the graphical autoregressive part. The trace approximation and reweighted nuclear norm minimization are used for solving the problem. The dynamics of latent variables are recovered using trace norm convex programming and low-rank spectral decomposition.
Editorial Material
Engineering, Multidisciplinary
Saeed Maghsoodloo, Dilcu Barnes
Summary: Moving average control charts have been studied in quality control literature for 75 years without obtaining conditional average run lengths. This article derives the autocorrelation of two moving averages and uses bivariate normal distribution to calculate conditional type II error probability. Results show that after a standard deviation shift from normal process mean, Shewhart's average run length and conditional first-order moving average run lengths are almost identical.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2021)
Article
Statistics & Probability
Wei-Heng Huang
Summary: This article studies the performance of three (X) over bar control charts under lognormal processes, evaluating them based on in-control expected average run length (AARL) using the standard deviation of ARL (SDARL) metric. The study establishes a formula to approximate ARL using the normal approximation method and compares the in-control and out-of-control performance of the three charts through simulation.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2022)
Article
Statistics & Probability
Piyatida Phanthuna, Yupaporn Areepong, Saowanit Sukparungsee
Summary: A modified exponentially weighted moving average (EWMA) scheme is introduced in this article to quickly detect small shifts in autocorrelated data. An explicit formula is presented for calculating the average run length (ARL) in a modified EWMA chart with an autoregressive AR(p) model involving exponential white noise. Performance comparison with a numerical integral equation method shows that the explicit formula can help decrease processing time. Moreover, the modified scheme is tested against a classical EWMA control chart using ARL and RMI results. Finally, the efficacy of the method is demonstrated by applying the explicit ARL formula to a real numerical example in the health field.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2023)
Article
Engineering, Multidisciplinary
Michael S. Saccucci, James M. Lucas, Patrick D. Bourke, Darwin J. Davis, Erwin M. Saniga
Summary: Using an exact methodology, this study re-examines the relationship between geometric CUSUM and Bernoulli CUSUM control charts and demonstrates their equivalence in detecting an upward shift in the proportion of nonconforming items.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Statistics & Probability
Moshe Pollak
Summary: The study focuses on a process that generates independent identically distributed vectors, exploring methods for control chart alarm generation and average run length to false alarm in control states. It is proven that for large ARLs to false alarm, run lengths of various control charts are asymptotically independent in control states, and in-control run lengths are asymptotically exponentially distributed.
ANNALS OF STATISTICS
(2021)
Article
Statistics & Probability
Zameer Abbas, Hafiz Zafar Nazir, Muhammad Riaz, Muhammad Abid, Noureen Akhtar
Summary: Control charts are commonly used to monitor industrial and production processes, but in situations where the normality assumption is uncertain, nonparametric control charts offer a more effective alternative. This study proposes a new nonparametric double progressive mean chart based on sign statistic for detecting small shifts in process location. The proposed chart performs better than its existing competitor charts, as evaluated using the average run-length measure.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2023)
Article
Engineering, Environmental
Zhiping Liang, Xiangzhao Zhang, Jian Yang, Yu Cheng, Haigang Hou, Shahid Hussain, Junlin Liu, Guanjun Qiao, Guiwu Liu
Summary: Efficient detection of ultra-low concentrations of hazardous gases, such as NO2, can be achieved using nanoflower-like WO3/WS2 composites. These composites exhibit high sensitivity, selectivity, reproducibility, and long-term stability, making them suitable for air pollution monitoring and ecosystem and human health protection.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Computer Science, Interdisciplinary Applications
Zameer Abbas, Hafiz Zafar Nazir, Saddam Akber Abbasi, Muhammad Riaz, Dongdong Xiang
Summary: This article investigates the effectiveness of new progressive mean (MEP) charts in tracing process mean using a single auxiliary characteristic (AMEP) and two auxiliary characteristics (TAMEP). The proposed TAMEP scheme is evaluated under the presence and absence of multicollinearity. The numerical comparison study reveals that the proposed designs are highly sensitive for detecting small shifts.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
(2023)
Article
Engineering, Biomedical
Shahid Hussain, Zuber Ali Shah, Kazi Sabiruddin, Anup Kumar Keshri
Summary: Different hydroxyapatite (HA) powders synthesized from Indian clam seashells at varying temperatures were deposited on titanium alloy using an atmospheric plasma spray process. The coating materials were characterized in terms of crystallite size, Ca/P ratio, crystallinity, microstructure, and phases. The surface roughness, microhardness, porosity, adhesion strength, and wear resistance of the HA coatings were also evaluated. The 900 degrees C coating sample exhibited the highest adhesion strength, microhardness, and wear-resistance properties due to its maximum crystallinity among all the HA coatings.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2023)
Article
Chemistry, Physical
Jing Wang, Yanfei Hou, Xiangzhao Zhang, Ziwei Xu, Guiwu Liu, Shahid Hussain, Guanjun Qiao
Summary: This study investigates the application of 3d transition metal (TM) decorated MoSe2 monolayer as chemiresistive sensors using first-principles calculations. The results show that only Co and Ni elements can be stably decorated on the MoSe2 monolayer surface. The TMs with high d-band center location can enhance the adsorption energy of MoSe2 monolayer towards four gas molecules, making Co-MoSe2 and Ni-MoSe2 monolayers promising candidates for H2 and C2H2 detectors, respectively.
APPLIED SURFACE SCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Minjie Ni, Shuai Han, Zhiping Liang, Siwei Liu, Xiangzhao Zhang, Shahid Hussain, Mingsong Wang, Guanjun Qiao, Guiwu Liu
Summary: An optimized mulberry-like Cu2O/CuO nanocomposite was fabricated by hydrothermal method, which showed excellent room-temperature sensitivity to NO2, as well as good selectivity, reproducibility, long-term stability, and non-monotone humidity dependence. This study provides a promising candidate material for room-temperature detection of NO2.
SENSORS AND ACTUATORS A-PHYSICAL
(2023)
Article
Chemistry, Physical
Muhammad Shafa, Iqbal Ahmad, Shahid Hussain, Muhammad Asif, Yi Pan, Rustem Zairov, Asma A. Alothman, Mohamed Ouladsmane, Zahid Ullah, Nabi Ullah, Chen Lai, Uzma Jabeen
Summary: A nanoalloy-based electrochemical sensor for H2O2 detection has been fabricated using chemical reduction methodology. The prepared samples were characterized by X-ray diffraction and scanning electron microscopy. Among all the compositions, Ag-Cu (9:1) nanoalloys showed the best performance in detecting H2O2.
SURFACES AND INTERFACES
(2023)
Article
Environmental Sciences
Shahid Hussain, Jesse Nii Okai Amu-Darko, Mingsong Wang, Asma A. Alothman, Mohamed Ouladsmane, Samar A. Aldossari, Muhammad Shahzeb Khan, Guanjun Qiao, Guiwu Liu
Summary: Considering the significant risk of H2S gas to human life, research on H2S gas sensors has gained considerable interest. This study presents the fabrication of CuO/ZnO multifaceted nanostructures through heat treatment of Cu2+/ZIF-8 impregnation precursors, and evaluates their microstructure and gas sensing characteristics using various characterization techniques. The hollow CuO/ZnO nanostructures demonstrated high gas response, quick response and recovery times, low detection limit, good humidity resistance, and high selectivity towards H2S gas, which can be attributed to their porous hollow nanostructures, p-CuO/n-ZnO heterojunctions, and the spillover effect between CuO and H2S.
Article
Computer Science, Interdisciplinary Applications
Zameer Abbas, Saber Ali, Hafiz Zafar Nazir, Muhammad Riaz, Yuan Li, Xingfa Zhang
Summary: Control charts are effective tools for maintaining and optimizing industrial and manufacturing processes. Nonparametric control charts, such as those using the sign test statistic and arcsine transformation, are particularly reliable and useful when the data distribution is uncertain. This article introduces the design of nonparametric control charts and evaluates their performance using Monte Carlo simulations. The results demonstrate the robustness of these charts against non-normal distributions and suggest the best choice of test statistic depending on the magnitude of the shifts.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
(2023)
Article
Materials Science, Coatings & Films
Prathamesh Tawade, Suyog Shembale, Shahid Hussain, Kazi Sabiruddin
Summary: This study investigates the effect of grit blasting on the surface and subsurface characteristics of low-carbon steel under dry and wet environments. Three types of wet environments, tap water, saline water, and ethyl alcohol, were simulated. The study analyzes the variations in surface roughness with grit size, standoff distance, and blasting time for all conditions. Mathematical models were developed to estimate the increase in contact area of the rough surfaces. The optimal process parameters were suggested based on maximum increment.
JOURNAL OF THERMAL SPRAY TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Shahid Hussain, Samuel B. Adeloju
Summary: Sulfite determination in foods and alcoholic beverages is achieved using a biofunctionalized Pt-nanoparticle-modified polypyrrole nanowire array (PPyNWA) with the enzyme sulfite oxidase (SOx). The PPyNWA is prepared by dual-step anodisation, followed by deposition of PtNPs and adsorption of SOx. The resulting biosensor shows ultrasensitive detection of sulfite with good analytical performance. The nanobiosensor is also successfully applied to sulfite determination in beer and wine samples with high recovery efficiency.
Review
Nanoscience & Nanotechnology
Kaixiang Du, Quanjiang Lv, Zhiping Liang, Guiwu Liu, Shahid Hussain, Junlin Liu, Guanjun Qiao
Summary: Black phosphorus (BP), a two-dimensional (2D) van der Waals (vdW)-layered nanomaterial, has attracted explosive study due to its rediscovery as 2D phosphorene in 2014. It is considered a viable material for high-performance photodetection due to its unique structures, superior electrical and optoelectronic capabilities, and compatibility with silicon-based technologies. However, perfect methodologies for the scalable synthesis of good quality large-sized BP are currently lacking, and the instability of BP under ambient conditions poses challenges in various applications. This article provides an extensive overview of preparation methods, passivation strategy, photoelectric application, and challenges of BP.
ACS APPLIED NANO MATERIALS
(2023)
Article
Chemistry, Physical
Mingyuan Wang, Yuncai Jiang, Quan Zhang, Junnan Tao, Shahid Hussain, Guiwu Liu, Neng Wan, Shuangying Lei
Summary: Investigating the efficient photocatalysts for hydrogen evolution reaction (HER) is important for renewable energy technologies. In this study, X-intercalated bilayer phosphorene (BP-X) with halogen atom X (F, Cl, and Br) was constructed for efficient HER properties. The results showed that X intercalation can break symmetry, generate vertical polarization, and promote HER properties. Particularly, Cl intercalation broadens light absorption, reduces work function, enhances transition dipole moment, and enhances photocatalytic HER properties. The study provides a comprehensive explanation for polarization properties and the enhancement of HER properties by Cl intercalation, which is significant for the development of phosphorene-based ferroelectric photocatalysts.
ACS APPLIED ENERGY MATERIALS
(2023)
Article
Energy & Fuels
Belal Ghaleb, Saddam Akber Abbasi, Muhammad Asif
Summary: Solar Photovoltaic (PV) technology can significantly reduce the energy and environmental impact of buildings, with the potential to meet a significant portion of national electricity needs. Despite utility-scale PV projects in the Gulf Cooperation Council (GCC) countries, there is limited adoption of PV in the building sector. This study investigates the barriers to PV application in buildings, including sociotechnical, economic, policy, and management factors. Lack of public awareness and subsidized tariffs are identified as the main hindrances. Policy recommendations are provided to overcome these barriers and promote PV use in the building sector.
