Rapid Assessment Method Research Articles

Optimization of Work Posture at PT. XYZ: Analysis of the Rapid Entire Body Assessment (REBA) Method to Improve Health and Productivity

The study at PT. Fenyen Agro Lestari identified poor work postures that affect worker health and productivity. Using the REBA method, the boiler department had the highest risk (score 11), followed by the maintenance (score 6) and Laboratory (score 4). Immediate ergonomic improvements are recommended to reduce musculoskeletal disorders (MSDs). The purpose of this research is to analyze the impact of poor working posture on workers' musculoskeletal health in various departments of PT. Fenyen Agro Lestari, Indonesia and recommend ergonomic improvements to reduce the risk of MSDs. The methodology involves REBA for postural assessment, collecting musculoskeletal complaints via questionnaires, and analyzing data to recommend ergonomic improvements. The findings revealed that poor postures cause significant musculoskeletal disorders, especially in the Boiler department, highlighting the need for ergonomic improvements. This study is novel in that it applies the Rapid Entire Body Assessment (REBA) method to a specific context within PT. Fenyen Agro Lestari, provides tailored ergonomic recommendations for multiple departments and addresses gaps in existing research on posture-related musculoskeletal disorders in the industry. The study’s limitations include a focus on only three departments, potential observer bias, and reliance on subjective questionnaire data, which may not fully capture all musculoskeletal issues or account for variations in individual worker experiences.

Sustainability Strategy for Organic Rice Agribusiness Development in Banggai Regency

The solution to reduce the negative impact of inorganic farming is to change to organic farming. The definition of organic farming is an agricultural cultivation system that uses natural organic materials. This study aims to analyze the level of sustainability of organic rice development in the social, economic, ecological, technological and infrastructure dimensions, governance and farmer ethics and develop a prioritization strategy for the sustainability of organic rice business development in Banggai Regency. The number of samples was 47 respondents. The data analysis method uses the RAP (Rapid Appraisal) method while for the determination of sustainability strategy decisions using SWOT Analysis and AHP. The results showed that the level of sustainability of the ecological, economic, social, technological and infrastructure dimensions, ethics and morals showed quite sustainable, and the development dimension showed very sustainable. Strategy selection is in quadrant I (IFAS 1.507 and EFAS 2.266) by focusing on aggressive growth in the development of sustainable organic rice agribusiness with strategic steps, namely: Optimizing organic rice production through the use of production input subsystems; optimizing extension activities in company-assisted farmer groups, inviting non-organic rice farmers to join the organic rice agribusiness business, expanding paddy fields to increase organic rice production, optimizing promotional activities for organic rice products, maintaining the quality of organic rice, making Sinorang Village and Sumberharjo Village into Organic Rice Agrotourism Villages, improvement and modification of organic rice packaging, provision of RMU assistance, and agricultural machinery equipment and developing self-reliance of organic rice farmer groups.

Rapid assessment of the osteogenic capacity of hydroxyapatite/aragonite using a murine tibial periosteal ossification model

Biomaterials are widely used as orthopaedic implants and bone graft substitutes. We aimed to develop a rapid osteogenic assessment method using a murine tibial periosteal ossification model to evaluate the bone formation/remodelling potential of a biomaterial within 2–4 weeks. A novel hydroxyapatite/aragonite (HAA) biomaterial was implanted into C57BL/6 mice juxtaskeletally between the tibia and tibialis anterior muscle. Rapid intramembranous bone formation was observed at 14 days, with 4- to 8-fold increases in bone thickness and callus volume in comparison with sham-operated animals (p < 0.0001), followed by bone remodelling and a new layer of cortical bone formation by 28 days after implantation. The addition of zoledronate, a clinically-utilised bisphosphonate, to HAA, promoted significantly more new bone formation than HAA alone over 28 days (p < 0.01). The osteogenic potential of HAA was further confirmed by implanting into a 3.5 mm diameter femoral cancellous bone defect in rats and a 5 mm diameter femoral cortical bone defect in minipigs. To understand the biodegradation and the cellular activity at the cell/biomaterial interfaces, non-decalcified specimens were resin embedded and sections subjected to combined scanning electron microscopy (SEM)/electron backscatter diffraction (EBSD)/energy dispersive X-ray spectrometry (EDS) analysis. We conclude that murine tibial periosteal ossification is a novel method for rapid assessment of the interaction of bioactive materials with osteogenic tissues. This study also highlights that combining calcium carbonate with hydroxyapatite enhances biodegradation and osteogenesis.

Rapid post-earthquake damage assessment of building portfolios through deep learning-based component-level image recognition

Frequent seismic events significantly heighten the likelihood of the building structure being impacted throughout its operational lifecycle. Seismic effects on these structures result in a notable reduction in structural safety and serviceability. Enabling the post-earthquake recovery of building structures necessitates a precise and swift assessment of earthquake-induced damage. The conventional method for assessing building damage involves collecting data through close manual observation or contact inspection. Although it can obtain relatively accurate results by combining evaluation specifications, it is time-consuming and labour-intensive. Deep learning (DL) is data-driven and employs computational methods for data processing. The image classification function of convolutional neural network (CNN) in DL brings great convenience to image data processing. It has been applied to various aspects of structural health monitoring/post-disaster assessment. However, most of the current studies focus on the component level and lack of a comprehensive perspective on the whole structure, which is not conducive to the judgment of the overall condition. Consequently, this paper proposes a rapid assessment method of the overall damage level of post-earthquake buildings based on component images and DL. Two component-level image classification models, component type and damage level, are firstly trained. Then, the images of the buildings to be evaluated after the earthquake are collected and classified. Combined with the weights of different component types and damage levels proposed, the overall condition scores and grades of the structures can be obtained by weighted calculation. The proposed method realizes an overall evaluation of the structural damage condition after seismic events, and further extends to the building portfolios, providing actionable guidance for subsequent personnel and fund allocation, rescue, and maintenance measures. Due to limitations in the dataset, such as the potential biases in the training dataset, the trained model is not perfect and faces challenges in distinguishing between minor and moderate damage. In the future, the dataset should update and ideally cover a wide range of building types, component types, and damage levels to ensure the model's robustness and applicability to various real-world scenarios.

A Rapid Quantitative Assessment Method for Liver Damage Effects of Compounds Based on Zebrafish Liver Partition Area Ratio.

Total liver area is a traditional indicator in evaluating compound liver damage with zebrafish models. However, in some experiments, compounds changed zebrafish liver morphology but total liver area showed no significant difference, indicating it is inaccurate for evaluating compound effects on zebrafish liver damage. Therefore, in this study, transgenic zebrafish Tg(l-fabp:EGFP) labeled with liver cells using green fluorescent protein was used to evaluate compound effects on liver by the liver partition area ratio. The coefficient of variation of the total liver area and the liver partition area ratio of normal zebrafish at different development stages was calculated to determine the precision and dispersion of the liver partition area ratio. Three known hepatotoxic compounds (water extract of psoralea, alcohol, and α-naphthalene isothiocyanate) were used to treat zebrafish, and liver partition area ratio was calculated and verified by liver tissue pathological sections. The Pearson correlation coefficient was used to analyze the correlation between the liver partition area ratio, total liver area, and alanine aminotransferase (ALT) and aspartate aminotransferase (AST). Results showed significant difference in liver partition area ratio between hepatotoxic compound treated group and control group, and it could accurately reflect liver morphology changes. There was a strong correlation between liver partition area ratio and ALT and AST level, whereas that between total liver area and ALT and AST level was low. Therefore, the change in zebrafish liver partition area ratio can be an evaluation indicator for rapid assessment of compound effects on zebrafish liver function damage, more sensitive and accurate than total liver area.

Leveraging AI technology for distinguishing Eucommiae Cortex processing levels and evaluating anti-fatigue potential

Eucommiae Cortex (ECO) is a traditional medicinal and edible plant endemic to China, highly prized for its numerous health benefits. It typically undergoes special processing before application. The efficacy of ECO is influenced by processing techniques, necessitating the assurance of stability and consistency in its effects. However, existing methods for identifying ECO are cumbersome, thus, there is an urgent need to develop an accurate, rapid, and non-invasive assessment method. Deep learning techniques employing ResNet and Vision Transformer (ViT) models were employed to classify ECO images at various processing levels. Concurrently, the anti-fatigue properties of ECO were assessed through swimming time, pole climbing experiments, and biochemical analyses including SDH, LDH, ATP content, Na+-K+-ATPase, and Ca2+-Mg2+-ATPase indices. We demonstrated the efficacy of using image analysis to automatically classify ECO with a high degree of accuracy. The results indicated that the Vision Transformer model performed exceptionally well, achieving an accuracy rate exceeding 95 % in grading ECO images. Additionally, our study revealed that mice treated with moderately processed ECO displayed enhanced fatigue mitigation compared to other processing levels, as evidenced by multiple assessments.

Unfolding Electrolyzer Characteristics to Reveal Solar-to-Chemical Efficiency Potential: Rapid Analysis Method Bridging Electrochemistry and Photovoltaics.

Development of photovoltaic-electrochemical (PV-EC) systems for energy storage and industry decarbonization requires multidisciplinary collaborative efforts of different research groups from both photovoltaic and electrochemical research communities. Consequently, the evaluation of the solar-to-chemical or solar-to-fuel efficiency of a new electrolyzer (EC) as a part of a PV-EC system is a time-consuming task that is challenging in a routine optimization loop. To address this issue, a new rapid assessment method is proposed. This method employs power balance requirements to unfold the input EC characteristics into the parameter space of PV-EC systems. The system parameters, composed with the EC output characteristics, yield the solar-to-chemical efficiency attainable by the electrolyzer in combination with any PV device under any irradiance at any relative PV-to-EC scaling and any mode of power coupling. This comprehensive overview is achieved via a mathematically simple conversion of the EC characteristics in any spreadsheet software. The method, designed to streamline the development and minimize the efforts of both the photovoltaic and electrochemical communities, is demonstrated via the analysis of CO2-reduction electrolyzer characteristics and verified with dedicated PV-EC experiments.

Redesign of work facilities at the tofu pressing station with a participatory ergonomic approach

Tahu Palda is a small and medium-sized micro business in the food industry that produces tofu. This factory has been producing tofu since 2005, located in North Aceh. The workers in this tofu usually five workers, with an average of 7 working hours per day. Based on the observations at several workstations, initial data indicate that the dominant work posture is standing, bending, and lifting heavy loads such as a 20 kg weight for pressing and lifting a mold holder with a 15 kg load. This is done continuously for 7 working hours each day. Based on the results of the distribution of the Cornell Musculoskeletal Discomfort Questionnaire (CMDQ), it was found that workers at the station experience complaints such as back pain, lower back pain, and upper arm pain due to the high frequency of lifting heavy loads. If this continues to be neglected, it can lead to work-related diseases such as musculoskeletal disorders. The assessment of workers' posture using the Rapid Entire Body Assessment (REBA) method shows that the score obtained for the job of pouring soybean paste is 7, which means a moderate risk, the job of lifting the press weight is 5, which means a moderate risk, and the job of flipping molds has a score of 10, which falls into the high-risk category and needs improvement. Improvements were made using a participatory ergonomics approach, resulting in the decision to redesign the tofu press tool to fit the workers' body anthropometry. The anthropometric calculations for the height range of the press support tool and cutting tool are 141.1 cm, the press support range is 68.78 cm, the width of the press tool is 49.4 cm, the height of the tray is 4.54 cm, and the height of the tray holder is 103.85 cm.

Redesign of stroller work tools at PT. Ika Bina Agro Wisesa

PT. Ika Bina Agro Wisesa (PT. IBAS) is one of the agro-industries that manages or produces palm oil with a production capacity of 30 tons / hour and a total of 420 tons / day. The raw material of Fresh Fruit Bunches (FFB) of this factory comes from the plantation land of the community around the factory. The activity of harvesting FFB in this oil palm plantation has many manual material handling activities, especially for workers who lift and push wheelbarrows (angkong). The angkong work tool used is relatively old and looks unergonomic which can be seen when pushing the angkong in a very bent position so it is assumed that there is a large amount of force expended by workers. This research begins with a survey of the company and the field, then distributing Nordic Body Map (NBM) questionnaires to workers, using the Rapid Entire Body Assessment (REBA) method used to determine the level of risk of work posture in workers before and after the design of the tool, for the redesign of the stroller, anthropometric measurements are taken then using the Biomechanics method to determine the amount of force generated when pushing. This stroller redesign was carried out using operator anthropometry with the 95th percentile. After using the proposed tool, the work posture assessment is categorized as moderate which means that action is needed. The final results of the redesign are the length of the cart 90 cm, the width of the cart 66 cm, the diameter of the tire 32 cm, the height of the cart from the ground 125 cm, the height of the handle 96 cm, the width of the handle 40 cm, and the diameter of the handle 3 cm and the final results of the biomechanical assessment after the design concluded that the operator was no longer dangerous when pushing.

Rapid Assessment Method of Buckling Stability of Bridge Pier–Cap–Pile System Under Scour Effect

A novel analytical method for evaluating the buckling stability of the pier–cap–pile system under scour effect is proposed, and furthermore, the concept of rapid assessment of bridge buckling stability based on natural frequency is innovatively introduced in this paper. First, the total potential energy function of the bridge pier–cap–pile system is established, and the closed-form solution of structural system critical buckling load under scouring is solved according to the principle of stationary potential energy. Second, the sensitivity analyses of pier height, pier width, bending stiffness reduction in pier, pile slenderness ratio, pile bending stiffness reduction, m-value of soil and structural gravity to the buckling load are carried out. On this basis, 60 sets of sensitive parameter sample combinations are extracted by the Latin Hypercube Sampling algorithm, and a proxy model relating the critical buckling load to scour depth and the sensitive parameters are then developed using the McQuarter global optimization algorithm. Finally, the regression relationship model between the critical buckling load and the natural frequency is formed by combining the proxy model and the existing relationship between the scour depth and the first-order natural frequency. The feasibility of the proposed assessment method is demonstrated by the finite element method using a bridge case study, which provides an insight and a new means of quantitatively evaluating the safety of bridges under scour effect.

Analisis Postur Kerja Terhadap Keluhan Musculoskeletal Disorders (MSDs) Menggunakan Metode Rapid Upper Limb Assessment (RULA) Pada Pekerja Pencantingan Di Tatsaka Batik Banyuwangi

Banyuwangi, as one of the cities in Indonesia, has a large and growing number of batik craftsmen, currently with 60 batik businesses. One of the crucial stages that requires high skills but also physical endurance is the pecantingan stage. In the pecantingan stage of the production process, workers sit on small chairs with their backs and necks bent. There are indications that the effectiveness of work in this stage is seen in less than optimal activities where workers often complain of fatigue. UD Tatsaka Batik is a home-based trading business in Tampo Village, Cluring District, Banyuwangi Regency, which is engaged in textiles with a daily production capacity of around 35 to 400 pieces of batik. UD Tatsaka produces four types of batik, namely, written batik, semi-written batik, semi-coloured batik, and printed batik. Therefore it is necessary to evaluate the posture of workers in this manual work as well as the large production volume. Evaluation methods include the use of the Nordic Body Map (NBM) Questionnaire Sheet to identify body complaints and the Rapid Upper Limb Assessment (RULA) method to assess work posture risks. Using the RULA method due to the use of body areas that dominate the upper body area. The results show that workers experience complaints mainly in the lower neck area, right arm, and right wrist. Workers' scores on Likert Scale 3 using the NBM questionnaire show a significant level of complaints, with scores between 71 and 77. All workers on Action Level 3 of the RULA method calculation, showing a moderate level of risk. Muscle stretching is proposed as a practical and economical solution to reduce muscle tension, easily implemented into workers' routines without disrupting the work process. This solution is expected to reduce the risk of musculoskeletal complaints and increase productivity at UD Tatsaka Batik Banyuwangi.

Comparing Lecture and E-mail Training for Ergonomic Posture Correction in Office Workers

Background: Musculoskeletal disorders (MSDs), commonly arising from poor posture, are among the most prevalent workplace health issues. Objectives: This intervention study aims to compare the effects of two training approaches, lecture and E-mail, on posture correction among bank employees in southeastern Iran. Methods: The study was conducted in Zahedan, Iran, with 120 bank employees from eleven branches. Posture was assessed using the rapid upper limb assessment (RULA) method. The intervention included two training methods (lecture and E-mail) alongside a control group that received no training. Results: Before the intervention, the mean RULA scores for the lecture, E-mail, and control groups were 4.1 ± 1.6, 4.15 ± 1.14, and 4.19 ± 1.4, respectively (P = 0.39). Post-intervention, the RULA scores dropped to 2.92 ± 0.43 for the lecture group, 2.87 ± 0.56 for the E-mail group, and 3.97 ± 1.6 for the control group (P = 0.028). Although there was no significant difference (P = 0.6) between the lecture and E-mail groups, both training methods showed a statistically significant improvement over the control group (P &lt; 0.05). Conclusions: Both lecture and E-mail training methods effectively improved posture among participants. However, lectures might be more practical in Iran, where E-mail use is less frequent and employees may not check their E-mails regularly.

Granular characterisation of coal spoil dump using unmanned aerial vehicle data to enhance stability analysis

Open pit mining operations generate significant spoil dumps that need to be characterised for stability to identify potentially unstable slopes. However, the current subjective practice for spoil characterisation often involves tedious and risky field work. To this end, this study demonstrated the use of periodically acquired unmanned aerial vehicle (UAV)-based images over a coal mine spoil dump in New South Wales, Australia. A granular approach that captures the variability of each truck offload pile on a dump was adopted through morphology-based segmentation and ensemble algorithm-based classification which consolidates predictions from multiple classifiers. Overall accuracy of over 90% in the material characterisation based on the classification framework was achieved. The two-dimensional classification outcome was then transformed into three-dimensional (3D) block models using a point-based interpolation approach for stability analysis. The factor of safety derived from the granular approach offered improved assessment of failure risk compared to the conventional approaches, which treat the entire dump as a uniform category. This rapid classification and assessment method proposed in this study will help reduce the uncertainty associated with the variability of spoil dumps in slope stability assessments, thereby enhancing the safety and efficiency of mining operations.

Risk Evaluation of Musculoskeletal Disorders (MSDs) at the Outpatient Registration Centre: A Review of Work Postures with the Rapid Office Strain Assessment (ROSA) Method

Risk Evaluation of Musculoskeletal Disorders (MSDs) at the Outpatient Registration Centre: A Review of Work Postures with the Rapid Office Strain Assessment (ROSA) Method

A method for assessing the risk of rockburst based on coal-rock mechanical properties and In-Situ ground stress

With the increase in mining depth and intensity, dynamic disasters such as rockburst in mines are becoming more severe. Deep resource extraction is characterized by a high in-situ stress geological environment, closely associated with geological dynamic disasters. However, there is currently no quantitative analysis method for the correlation between the two. In this study, an elastic energy density calculation method is employed, considering the dissipative effect of the self-weight stress field on the tectonic stress field. The remaining energy, referred to as impact energy, is used to classify the risk of coal seam impact, providing a computational method for rapid assessment of impact risk before mining production. The proposed calculation method is compared with 22 mine impact engineering practices in the literature, showing accurate predictions for 21 mines. Since measuring in-situ stress and coal seam physical and mechanical properties is a preliminary work in coal seam extraction, the comprehensive analysis of these data holds significant research and practical value.

The effect of seasonal temperature difference on estimated wood density in Populus ussuriensis Kom. trees by the resistance drilling method

ABSTRACT Wood density is a main determinant of wood quality assessment for wood end-use and plantation trees. The resistance drilling method (RST) is one of the rapid assessment methods of wood density for standing trees. As the season changes, the water within trees occurs to freeze and is expected to indirectly affect RST results. However, the impact of ambient temperature is unknown. To investigate the effect of seasonal temperature difference on estimated wood density, the RST of Populus ussuriensis Kom. trees was examined across different seasons. A good linear regression model between average wood density and RST was established at normal temperature during summer, with a coefficient of determination of 0.708. The average RST of sapwood and heartwood increased by 6% to 22% from autumn (−5–0°C) to winter (−20–−10°C) compared to normal temperature in summer. Correspondingly, the average wood density estimated by RST increased by 4% to 16% from autumn to winter relative to normal temperature. The quadratic polynomial functions described the relationship between relative RST, relative wood density and seasonal temperature, with coefficients of determination over 0.922. Seasonal temperature had a significant effect on wood density, which was overestimated by RST in winter. This overestimation should be considered in the RST application.

The RARCrec: A rapid riparian vegetation assessment method for use in river systems undergoing vegetative and geomorphic recovery

SummaryMonitoring the condition of returning vegetation over time is essential for effectively managing riparian vegetation. Rapid riparian assessment methods are standard tools for capturing a suite of variables relevant to river health and are accessible to a range of users with different levels of experience. Monitoring efforts are particularly important for rivers undergoing degrading impacts and subsequent management interventions. In coastal catchments of New South Wales, Australia, vegetation is returning to rivers that were historically cleared for agriculture and are now experiencing geomorphic recovery. We present a rapid riparian assessment method for rivers undergoing vegetative and geomorphic recovery in this region. It addresses a gap in available rapid assessments by providing a methodology that can be used at sites with no historical analogue. Our assessment method adapts and extends a widely used method called the Rapid Assessment of Riparian Condition (RARC) to capture the quality of returning riparian vegetation along recovering rivers (rec), including native species diversity and vegetation structure (hence the name RARCrec). The RARCrec incorporates four sub‐indices – vegetation cover, native species richness, proportion of native to exotic species, and features of vegetation health – to produce an overall vegetation condition score that classifies sites as poor, moderate, or good condition. Scores for each sub‐index are assessed for the vegetation strata (groundcover, graminoids, midstorey, vines, and canopy) on the landform units of river bars, benches, and floodplains. The RARCrec has been designed to be sufficiently general for use in the main Vegetation Formations in coastal New South Wales and has been trialled at 36 sites across this region. Assessments can be conducted within half a day by two technically competent users and can be used to monitor vegetation condition over time to inform where to prioritise implementation of management activities. Field methodology and data sheets, including a scoring system, are provided to support the implementation of the RARCrec.

Analisis Risiko Postur Tubuh Saat Memasang Roda Mobil Menggunakan Metode Rapid Entire Body Assessment (REBA) pada PT Plaza Auto Prima Tendean

In the current era of globalization, information technology is developing rapidly. As for technology, which is equipment created to make human work easier, when achieving good progress in the work process of PT Plaza Auto Prima, it is absolutely necessary to have a technique that supports and provides satisfactory service for customers. Based on this, the author tries to analyze a method used when employees work in the Plaza Auto Prima environment regarding the work ergonomics they currently apply at PT Plaza Auto Prima, which to date has not seen any improvement. The method used is direct observation and assessment of work posture using the REBA method. The research subjects were mechanics who worked in the installation or removal of car wheels. The data obtained is analyzed to determine the REBA score and the level of risk faced by workers. The research results show that the mechanical work posture at PT Plaza Auto Prima (Toyota) Tendean has significant problems. Analysis using the REBA method produces a final score of 8, which indicates a high risk level and requires immediate improvement. Factors that contribute to this high risk include the lack of ideal work ergonomics and limited supporting equipment. This increases the risk of injury and illness to the worker's body in the future. After improvements were made by adding trolley service tools, the way of working became more ergonomic so that the REBA score dropped to 2, which shows that some of the movements carried out were in the safe category or did not cause muscle injuries in the future. Therefore, the presence of bodily abnormalities that arise from work cannot be separated from the existence of supporting equipment to facilitate the removal of certain parts so as not to cause abnormal bodily effects. Planning for the procurement of a particular tool needs to be done as soon as possible so that workers do not suffer the effects of bodily abnormalities. In this way, the author took analytical steps using the Rapid Entire Body Assessment (REBA) method, which is the best solution to solve the problems that exist in this company to support workers so they can work all the time without any complaints about their bodies.

Evaluating functional ability in older adults’ object retrieval behavior from kitchen furniture using OpenPose and REBA

The purpose of this study is to evaluate, through analysis, the ability of older persons to retrieve items from kitchen cabinets. To achieve this goal, data were collected from 128 valid questionnaires and supplemented with field research and user interviews. The study revealed that the elderly’s behavior in retrieving items from kitchen spaces is characterized by both high frequency and difficulty. For this experiment, a total of 42 participants, comprising 21 males and 21 females from the self-care elderly population in the Yangtze River Delta region, were recruited. Two different experimental settings were arranged: one with kitchen utensils arranged in a straight line and another with a purpose-made chest of drawers with varying heights. Video recordings using the Logitech C930C were utilized to capture the gestures and behaviors of the elderly while retrieving objects from the kitchen cupboards (cabinets). By employing a combination of the OpenPose model and the Rapid Entire Body Assessment (REBA) method, which involves calculating human posture angles, REBA scores, and determining the risk level of Work-Related Musculoskeletal Disorders (WMSDs), a risk assessment framework for manual operations associated with WMSDs was developed. Using the angle data acquired from the user operation experiment as parameters, a gradient model of the elderly user’s operational capability was established. The findings indicated a significant impact of neck, trunk, and knee movements on the subjects (P < 0.001). The participants were able to distinguish between different levels of exertion, categorizing movements as ‘easy’, ‘moderate,’ or ‘strenuous.’ These results form the basis for a comfort gradient model for leaning over and retrieving items. Given the prevalent conditions of bone and joint degeneration and osteoporosis among the elderly population, it is evident that they face challenges when accessing items in the kitchen. Therefore, investigating the elderly’s execution abilities during the retrieval process becomes crucial. Understanding how different cabinet heights impact the joint angles of the elderly can be instrumental in optimizing cabinet designs for elderly users, thereby reducing their physical exertion in the kitchen and enhancing their comfort levels. This research holds significant value in improving the quality of life for the elderly population at home and fostering the advancement of elderly-friendly design principles.

Control Analysis of Building Under Construction from Indoor Mobile Mapping Systems

Abstract. During the execution phase of construction projects, quality defects arise due to various factors such as human intervention, technical aspects, logistical issues and environmental influences. Early detection of these defects is imperative to minimize their impact and prevent possible delays, increased costs and safety hazards. This paper explores the effectiveness of indoor mobile laser scanners for geometric quality control, adhering to established European technical norms and Spanish standards. Our developed approach presents a simple method for rapid assessment, capable of identifying vertical deviations in columns and walls, axis deviation in columns, flatness deviation in horizontal planes and level deviation using LIDAR data from Mobile Mapping Systems. This methodology has been validated through a real-world case study, demonstrating its practical applicability.