Quality Measurement System Research Articles

How to make service better? A review on developing service-oriented public transit systems

ABSTRACT Improving service quality of urban public transportation systems is essential for attracting travellers. Ideally, building a service-oriented transit system requires holistic approaches on the closed cycle of measuring travellers’ perception of transit service, relating perceptions with supply factors, and making optimisation or improvement decisions with the goal of better service and lower cost. Separate literature reviews on transit service quality measurement and transit system optimisation were conducted previously, while there is no review investigating the consistency of service quality perceptions and optimisation approaches in an integrated manner. To fill this gap, we systematically reviewed existing contributions and examined the connections among transit service quality measurement, influence of supply factors on service quality and transit system optimisation. Results revealed gaps on goals of subjective passenger perceptions in existing optimisation methods as well as the need for embedding interplays between perceived service quality indicators and supply factors. Our research findings provide directions to future studies in this field, and we posit the importance of integrating human factors considerations in transit policy, planning and operation practices.

Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization

Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization

Towards an outcome-based approach in ESG reporting: sustainability drive of Tata Steel

PurposeEnvironmental, social and governance (ESG) issues have gained unprecedented prominence in the corporate world, underscoring the imperative for businesses to address sustainability and ethical practices. Though the quality of reporting and performance measures being used have significantly improved, we are far from achieving an outcome-based approach for ESG reporting. This article focuses on the steel industry in India with Tata Steel as a classic test case for reporting ESG performances, wherein the ESG performance of Tata Steel have been analysed with an outcome-based approach to demonstrate that the company is truly on a sustainable development path.Design/methodology/approachWe use qualitative content analysis to map the data available in various annual reports of the company (Tata Steel) as also the sustainability reports for the period 2021–2023. Based on discussions with Tata Steel company officials, a content analysis was used to map all initiatives under ESG parameters for the period 2021–2023. Based on inductive reasoning, a comprehensive ESG information quality framework was used to examine the mapped parameters and report for ESG quality and performance, which was further corroborated with findings of Sustainalytics and Morgan Stanley Capital International (MSCI).FindingsImprovement in reporting performance: As can be observed, the position, development and performance scores of Tata Steel in ESG dimensions shows a remarkable achievement for a company in the steel industry. It would be comparable to some of the best companies on matters of ESG reporting and performances. The findings can be corroborated with the general findings of Sustainalytics and MSCI ESG ratings.Originality/valueThe paper is original, and the uniqueness of the paper can be gauged from the fact that it is perhaps one of the few papers to actually measure ESG issues with an outcome-based approach based on real-time sustainability reports of companies and through quality measurement systems to demonstrate that a company is truly on a sustainable path.

Mango Quality Measurement System Based on Ripeness, Size, and Spot Area Using Fuzzy Inference System

Mango Quality Measurement System Based on Ripeness, Size, and Spot Area Using Fuzzy Inference System

Landscape of Consensus-Based Entity-Endorsed Perioperative Quality Measures.

Healthcare quality measures have a central role in monitoring and incentivizing the quality of surgical care. Payors and other stakeholders rely on consensus-based entities (CBEs) for the rigorous, independent evaluation and endorsement of quality measures. The aim of this study is to catalog current CBE-endorsed, surgery-related quality measures and to assess measure characteristics, gaps, and redundancies to inform prioritization of measure development efforts. The National Quality Forum Quality Positioning System and Battelle Partnership for Quality Measurement were reviewed to identify CBE-endorsed quality measures related to perioperative care. Identified measures were characterized in terms of their type (eg, structure, process and outcome), quality domain (eg, effectiveness and efficiency), focus (eg, complications, cost and improvement in functioning), and perioperative specialty (eg, general surgery and anesthesia). A total of 172 perioperative measures were identified, of which 79 were currently CBE-endorsed and 93 were previously endorsed. Among currently endorsed measures, 43 (54%) were clinical outcomes measures (eg, mortality and/or complications, readmissions), 8 (10%) were patient-reported outcomes measures, 20 (26%) were process measures, 4 (5%) were cost measures, and 4 (5%) were measures of structure. Measures specific to cardiothoracic (n = 40) and orthopedic (n = 11) surgery were the most common while 12 measures were relevant to multiple specialties. Despite the large number of surgery-related quality measures, most are concentrated on a small sample of quality domains for a few surgical specialties. Fewer measures are focused on patient-reported outcomes or experiences, low-value care (eg, unnecessary testing or imaging), healthcare structures, or processes that may lead to better outcomes.

The response of school leaders to governance complexity

ABSTRACT This study explores leadership within the context of neoliberal reforms, focusing on how leaders at two upper secondary schools in Norway navigate challenges and the strategies they employ. Norwegian upper secondary schools face a new nationwide quality measurement system, where performance technologies challenge the leaders’ professionalism. Concurrently, the Norwegian municipal and regional reform necessitates local agency and networking within a complex landscape for the school leaders, as this reform results in merger process for the two schools. By analysing interview data, a contribution of this article is the examination of intense governing by neoliberal technologies which is met by 'intensified leadership'. This leadership involves managing a complex situation, diverse responsibilities and showing commitment to local communities and the wider purposes of education. Utilising governmentality, the study identifies and raises awareness of the capacities and practices leaders use to handle reforms, also in terms of resistance and care of the self.

Low-Cost Embedded System Applications for Smart Cities

The Internet of Things (IoT) represents a transformative technology that allows interconnected devices to exchange data over the Internet, enabling automation and real-time decision making in a variety of areas. A key aspect of the success of the IoT lies in its integration with low-resource hardware, such as low-cost microprocessors and microcontrollers. These devices, which are affordable and energy efficient, are capable of handling basic tasks such as sensing, processing, and data transmission. Their low cost makes them ideal for IoT applications in low-income communities where the government is often absent. This review aims to present some applications—such as a flood detection system; a monitoring system for analog and digital sensors; an air quality measurement system; a mesh video network for community surveillance; and a real-time fleet management system—that use low-cost hardware such as ESP32, Raspberry Pi, and Arduino, and the MQTT protocol used to implement low-cost monitoring systems applied to improve the quality of life of people in small cities or communities.

Use of self-organizing maps for the classification of cardiometabolic risk and physical fitness in adolescents

This study aimed to automatically classify physical fitness and cardiometabolic risk in a Chilean adolescent using self-organizing maps. This cross-sectional study analysed a nationally representative database from the Physical Education Quality Measurement System (n = 7197). Physical fitness and cardiometabolic risk variables were derived from anthropometric indicators. Self-Organizing maps (SOM) were employed to identify participant profiles based on an unsupervised predictive model. After implementing and training the SOM, a detailed analysis of the generated maps was conducted to interpret the revealed relationships and clusters. The analysis resulted in three classification groups, categorizing the sample into low, moderate, and high-risk levels. Students with better physical fitness exhibited lower cardiometabolic risk levels and a lower body mass index. SOM, through an unsupervised model, is a reliable tool for classifying cardiometabolic risk and physical fitness in adolescents.

Lake Water Quality Measurement System at Situ Tekno using an ESP32-based Autonomous Surface Vehicle

merupakan danau buatan dengan luas 5,788.51 m². Danau ini belum memiliki sistem pengukuran dan pemantauan kualitas air untuk menghindari terjadinya pencemaran. Pada penelitian ini telah diimplementasikan sebuah sistem pengukuran untuk mengetahui kualitas air menggunakan wahana permukaan otonom yang dikendalikan oleh ESP32 dan dilengkapi dengan sensor pengukuran yaitu sensor suhu, pH, kekeruhan dan oksigen terlarut. Data pengukuran kemudian ditampilkan pada platform IoT Blynk. Dari pengujian yang dilakukan, Oksigen terlarut di beberapa titik di Situ Tekno adalah 5 ppm hingga 8 ppm, pH sebesar 7 hingga 9, kekeruhan sebesar 207 hingga 427 NTU dan suhu air danau adalah 17°C hingga 20°C. Dari hasil pengukuran tersebut dapat disimpulkan bahwa kualitas air pada Situ Tekno dapat memenuhi standar kelayakan air danau dari Pemerintah Indonesia. Sistem ini dapat mengukur kualitas air danau di beberapa titik untuk pemantauan secara berkala secara waktu-nyata.

Design of Real-Time Measurement and Intelligent Path Selection System for Network Quality under Big Data

Design of Real-Time Measurement and Intelligent Path Selection System for Network Quality under Big Data

Large-Aperture Off-Axis Beam Quality Measurement System for Laser Communication Optical Transceivers Based on Complex Amplitude Reconstruction

Large-Aperture Off-Axis Beam Quality Measurement System for Laser Communication Optical Transceivers Based on Complex Amplitude Reconstruction

High-frequency eddy current measurement for the characterization of graphite anode slurries in battery cell production

High-frequency eddy current measurement for the characterization of graphite anode slurries in battery cell production

Methods of Measuring Air Pollution in Cities and Correlation of Air Pollutant Concentrations

The monitoring of air quality continues to be one of the most important tasks when ensuring the safety of our environment. This paper aims to look at correlations between different types of pollutants, so that robust air quality measurement systems can be deployed in remote, inaccessible areas, at a reduced cost. The first matter at hand was to design an affordable and portable system capable of measuring different air pollutants. A custom PCB was designed that could support the acquisition of readings of, among others, particulate and CO sensors. Then, correlations between the concentrations of different pollutants were analyzed to identify if measuring the concentration of one type of pollutant can allow the extrapolation of the concentration of another. This particular study focuses on the correlations between the concentrations of particulate matter and CO. Finally, after observing a moderate correlation, it was proposed to measure the concentrations of pollutants that require less expensive sensors, and to extrapolate the concentrations of pollutants that require a more expensive sensor to measure their concentration. The link between particulate pollution and CO concentrations was identified and discussed as the result of this study.

A vendor-neutral business analytics and quality measurement system for radiation dose index monitoring

A vendor-neutral business analytics and quality measurement system for radiation dose index monitoring

A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement.

The safety of an operator working in a hazardous environment is a recurring topic in the technical literature of recent years, especially for high-risk environments such as oil and gas plants, refineries, gas depots, or chemical industries. One of the highest risk factors is constituted by the presence of gaseous substances such as toxic compounds such as carbon monoxide and nitric oxides, particulate matter or indoors, in closed spaces, low oxygen concentration atmospheres, and high concentrations of CO2 that can represent a risk for human health. In this context, there exist many monitoring systems for lots of specific applications where gas detection is required. In this paper, the authors present a distributed sensing system based on commercial sensors aimed at monitoring the presence of toxic compounds generated by a melting furnace with the aim of reliably detecting the insurgence of dangerous conditions for workers. The system is composed of two different sensor nodes and a gas analyzer, and it exploits commercial low-cost commercially available sensors.

High-Quality Regional Economic Development Paths in China—QCA-Based Linkage Effect

High-quality economic development is an organic whole, involving macro, meso, and micro factors, therefore it is necessary to explore the mechanism for quality development in the construction of a modern economic system. Following the new development concept, this paper constructs a measurement system for the economic development quality of 30 provinces and cities in China by using the entropy weight and TOPSIS method. In addition, the linkage effects of factors on high-quality economic development were analyzed by using the fuzzy qualitative comparative analysis (fsQCA) method. The results show that among factors contributing to diversified forms of the high-quality regional economy, the following three stand out: scientific and technological innovation, marketization, and infrastructure construction. On this basis, three paths were proposed for quality economic development, and they are: the innovation- and market-driven mode, the synergy mode of market and innovation, and the market-led conversion mode.

Ozone and Nitrogen Dioxide Pollutants Detection System Based on IoT

Air pollution is one of the main causes of health problem in urban areas. Vehicles are the major sources of the air pollution in urban cities. To prevent the air pollution situation from increasing, we have developed an advanced outdoor air quality measurement system using a ESP8266 microcontroller and senores. It can be placed at crowded automobile locations to monitor pollutants emitted from vehicles. Ozone gas (O3) and nitrogen dioxide (NO2) was measured in this study. The system provides continuous monitoring of vehicle air pollution with a high time accuracy.

Implementing ISO 9126 in Quality Testing for Information Systems for Menu Ordering Using QR Codes in Panongkrongan Shop

Panongkrongan Shop is a business that emphasizes the quality of its service. The limited number of employees serving customers has an impact on services that are not optimal, such as ordering errors, delays in ordering menus, price discrepancies because prices are not updated on the menu, transaction errors, and are also prone to loss of order data because the recording is still done manually. A menu ordering system can be built to reduce this problem. However, in its use, the system must be of good quality to support the store's operational activities. The poor quality of the system can cause errors so that those who use it can experience financial losses. For this reason, it is necessary to develop a quality measurement system to run correctly and meet ISO 9126 quality standards. Based on the test results, the system meets ISO 9126 standards with a total score of 91.9% with a functionality aspect of 95.3%, reliability of 83.7%, usability of 93.5%, efficiency of 89.0%, and portability of 98%. Improvements are needed in the reliability aspect, namely in maturity and fault tolerance, so that the system can be even better in terms of quality for error handling and maturity.

Air quality measurement, prediction and warning using transfer learning based IOT system for ambient assisted living

PurposeIndoor air quality monitoring is extremely important in urban, industrial areas. Considering the devastating effect of declining quality of air in major part of the countries like India and China, it is highly recommended to monitor the quality of air which can help people with respiratory diseases, children and elderly people to take necessary precautions and stay safe at their homes. The purpose of this study is to detect air quality and perform predictions which could be part of smart home automation with the use of newer technology.Design/methodology/approachThis study proposes an Internet-of-Things (IoT)-based air quality measurement, warning and prediction system for ambient assisted living. The proposed ambient assisted living system consists of low-cost air quality sensors and ESP32 controller with new generation embedded system architecture. It can detect Indoor Air Quality parameters like CO, PM2.5, NO2, O3, NH3, temperature, pressure, humidity, etc. The low cost sensor data are calibrated using machine learning techniques for performance improvement. The system has a novel prediction model, multiheaded convolutional neural networks-gated recurrent unit which can detect next hour pollution concentration. The model uses a transfer learning (TL) approach for prediction when the system is new and less data available for prediction. Any neighboring site data can be used to transfer knowledge for early predictions for the new system. It can have a mobile-based application which can send warning notifications to users if the Indoor Air Quality parameters exceed the specified threshold values. This is all required to take necessary measures against bad air quality.FindingsThe IoT-based system has implemented the TL framework, and the results of this study showed that the system works efficiently with performance improvement of 55.42% in RMSE scores for prediction at new target system with insufficient data.Originality/valueThis study demonstrates the implementation of an IoT system which uses low-cost sensors and deep learning model for predicting pollution concentration. The system is tackling the issues of the low-cost sensors for better performance. The novel approach of pretrained models and TL work very well at the new system having data insufficiency issues. This study contributes significantly with the usage of low-cost sensors, open-source advanced technology and performance improvement in prediction ability at new systems. Experimental results and findings are disclosed in this study. This will help install multiple new cost-effective monitoring stations in smart city for pollution forecasting.

PROFESSIONAL APPROACHES TO QUALITY ASSESSMENT AND EVALUATION: IMPLICATIONS FOR TRANSLATION TEACHING AND LEARNING

This paper provides a critical overview of the approaches to the assessment and evaluation translation quality across professional practice. The analysis is aimed at singling out the professional knowledge, skills and communicative abilities and attitudes necessary for a translator in the field of education to control and evaluate the quality of translation. The identified features of the top-down approaches, which are based on centralized quality management, allowed us to determine the components of the professional competence of full-time and freelance translators of translation companies and translation departments of organizations. They relate to ensuring the quality of human and technical resources, quality control of the process and evaluation of the translation product, feedback. The characteristic features of the bottom-up approaches made it possible to outline general and specific knowledge, skills and communication abilities and attitudes of independent professionals determined by the increase in demand for fast, high-quality translation services at a low price. The components of a freelancer’s professional competence include knowledge of crowdsourcing technologies, the ability to demonstrate compliance with translation industry standards, critically evaluate information and one’s own strengths and weaknesses. Consideration of approaches to determining quality levels and requirements for them is conditioned by the importance of relevant knowledge and skills to self-control and selfassess translation quality. Results of the comparative analysis of professional translation quality measurement systems LISA QA Model 3.1, SAE J2450. QT21 D3.1: Harmonized Metric became the basis for developing a typology of translation errors and building a model for evaluating the quality of translation of educational texts.