bluuebunny/crossref_metadata_2025 huggingface dataset:
An optical pressure measurement system for control inceptors to evaluate pilots’ workload
Authors: Zanoni Andrea , Garbo Pierre , Quaranta Giuseppe
Published: April 2022

Understanding human-machine interaction is a fundamental research area in all engineering disciplines were the interaction between the user and the vehicle is central. From this point of view, aircraft in general and helicopters specifically offer a challenging test-bench: the interaction between the pilot and the helicopter is crucial tothe success of the flight missions. Furthermore, in some cases, the unwanted feedthrough of the aircraft accelerations at the control inputs can lead to adverse feedback loops, known as Rotorcraft Pilot Couplings (RPC) [1,2]. Since the pilot input is mediated by the control inceptors, measuring the pressure that the pilot’s hands exert on the inceptors’ grip can be very important in evaluating the mechanical impedance of the pilot, which can be correlated to the task workload [3]. However, Embedding existing measurement hardware inside the control inceptors grips may be challenging, or even impossible, without significantly altering the grip layout and thus introducing a possible source of discomfort for the pilot. These limits spurred the need to develop new measurement systems, that is able to - provide a reliable signal correlated to force exchanged between the hand and the grip; - be easy to be manufactured in such a way to be embedded in the grip, with as little loss in ergonomics as possible; - provide a signal that requires as little conditioning as possible.The solution proposed in this work has been called OPT-IN FCS (For OPTical-INceptors Flight Control System, Patent Pending) and is based on a well-known physical phenomenon commonly referred to as Frustrated Total Internal Reflection (FTIR). When an optical wave-guide, in which total internal reflection occurs, comes into contact with a third medium (outside of the wave-guide itself and air) a fraction of the incident radiation can propagate through the third medium. The paper will present the design and manufacturing of a full prototype of this device embedded in a control stick, and its application to a desktop simulator to monitor the hand activity for pilots during the performance of tasks with different levels of workload.[1] M.D. Pavel, M. Jump, B. Dang-Vu, P. Masarati, M. Gennaretti, A. Ionita, L. Zaichik, H. Smaili, G. Quaranta, D. Yilmaz, M. Jones, J. Serafini, J. Malecki (2013). Adverse rotorcraft pilot couplings—Past, present and future challenges, Progress in Aerospace Sciences, Vol. 62, 2013, Pages 1-51.[2] Quaranta, G., Masarati, P., Lanz, M., Marforio, M., & Muscarello, V. (2014). Biodynamic Adverse Rotorcraft-Pilot Coupling. In 5th International Conference on Applied Human Factors and Ergonomics (AHFE 2014), pp. 87-96.[3] Zanoni, A., Zago, M., Paolini, R., Quaranta, G., Galli, M., & Masarati, P. (2021). On Task Dependence of Helicopter Pilot Biodynamic Feedthrough and Neuromuscular Admittance: An Experimental and Numerical Study. IEEE Transactions on Human-Machine Systems.
Effect of illuminance uniformity on paper-based reading performance: a pilot study
Authors: Lu Run-Jiao , Hsieh Min-Chih , Dong Rui
Published: April 2022

Previous studies had already evaluated the effect of illuminance and correlated color temperature (CCT) on reading performance. However, the influence among uniformity of illuminance, illuminance, and CCT had not been closely taken into account. Therefore, the aim of current study was to investigate how a particular trait of lighting conditions affected reading performance. The indoor lighting environment was conducted with two uniformity of illuminance and two light conditions (400 lx, 3000 K and 1000 lx, 5000 K). A 10-minute-long paper-based reading task was carried out for each subject and the brain activities were recorded by electroencephalogram (EEG). During the reading task, each subject was asked to find out the incorrect characters and grammatical errors in the manuscript, and the reading performance was evaluated by signal detection theory (SDT) in terms of correct rate, missing rate and false alarm. Each of the 15 subjects experienced the trial for four times, under different illuminance uniformity, illuminance and color temperature each time. EEG analysis composes of 6 electrode placements, including Fp1, Fp2, F3, F4, O1 and O2, because they detected the activities of frontal lobe and occipital lobe that were closely related with information integration, error correction and visual signal processing. The frequency bands included Theta（4－7Hz），Alpha（8－13Hz）and Beta（14－30Hz） . The results showed that the participants tended to correctly detect more errors in paragraph under high illumination uniformity of the surrounding environment. It could be inferred that as the illuminance uniformity increased under the same illuminance and correlated color temperature, reading performance was improved. Moreover, the lighting conditions of 400lx, 3000K and 1000lx, 5000K in this experiment showed different results. The lighting condition of 400lx and 3000K showed that a more concentrated illumination in the center made subjects achieve better performance than a more uniform illumination in the periphery at low illumination levels did, which might be the reason for the more significant spotlight effect under this exposure condition. According to the results, this study might inspires the design of indoor lighting in workplace so that working efficiency and quality could be further improved.
Color Laws and User Preferences in Product Color Design
Authors: Zhai Nan , Liu Xiaojun , Zhou Miaomiao
Published: April 2022

Morandi colors are popular in architecture, home furnishing, clothing, and other applications. The laws of Morandi colors will be summarized in this paper, at the same time, its color matching is applied to the design of products to explore the factors affecting user preferences. Morandi colors of different hues have medium and low saturation and lightness. Also, the color matching is harmonious, which can bring people comfortable and pleasant visual feelings. Furthermore, Morandi colors on products of modern, elegant, and exquisite visual characteristics are the factors of user preferences, and the color matching can satisfy the basic requirements of function, interaction, and safety. The results can provide guidance for the application of Morandi colors in product design.
Tracking Knowledge evolution, hotspots and future directions of breast cancer detection using deep learning: a bibliometrics review
Authors: Daniela Gómez Rios Monica , Raul Martillo Martinez Nestor , Angel Quiroz Martinez Miguel , Yelandi Leyva Vazquez Maikel
Published: April 2022

In the medical field, it has been necessary to provide resources to detect ear-ly-stage diseases, including breast cancer. Deep learning is immersed in all aspects of medical image analysis, catapulting it as a possible dominant autonomous technology. In this systematic review, a total of 250 results were located, of which 40 were selected, for which a quantitative methodology with a descriptive basis was chosen. The objective of this bibliometric review is to analyze models in image processing for the early detection of breast cancer using deep learning. As result, digital mammography is the most effective method for detecting abnormalities in images. The research concludes that the application of CNN (Convolutional Neural Networks) is the most preferred choice of experts for medical image analysis due to its powerful pattern recognition and feature classifier.
Gaming and Learning Analytics for Educational Video Games
Authors: Dankov Yavor , Bontchev Boyan , Antonova Albena
Published: April 2022

The design and development of educational video games, and the realization of a successful video game project, often requires the research and analysis of data as a key element for success. Increasingly companies are integrating analytics tools into their structures, taking advantage of the analytics capabilities. The focus of this paper is on the analytics instruments developed in the APOGEE software platform for educational video games. The paper presents the workflow of using these instruments in the platform for analysis and evaluation. The integration of the analytics tools into the platform will provide the opportunity to monitor all activities carried out in the platform, to process, analyze, and evaluate all available data, user behavior, and user experience in the platform. This will allow for the formation of an overall assessment of the created educational video games and their contents, and the APOGEЕ platform, including evaluations for learnability, playability, and usability.
The transformation of manual workstations with collabo-rative robotics: the workers' perceptions
Authors: Colim Ana , Morgado Rita , Sousa Nuno , Faria Carlos , Cunha João , Oliveira João , Rocha Luís
Published: April 2022

The human factors constitute the focal point of the future Industry 5.0. The introduction of novel technologies (as collaborative robotics) in real-industry scenarios brings challenges related to the acceptance and confidence by the human-workers. The main goal of the current paper is to share the workers’ perceptions about robotics, during a real experience developed in a manufac-turing industry. Regarding assess the workers’ perceptions (n = 14 assembly workers), a questionnaire was developed and applied. The elaboration of this questionnaire was based on the bibliographic review of previous studies, and the main topics are the following: (i) workers characterization; (ii) robotics impact in occupational context; (iii) traditional robotics vs. traditional robot-ics; (iv) requirements that could compromise the HRC implementation. The results highlighted the importance of the workers’ involvement during a pro-cess of HRC introduction in a real-industry context, foreseeing a successful implementation with a safety feeling by the workers.
Use of virtual social networks and social skills in university students from northern Peru.
Authors: Milagros Apaza Panca Cynthia , Franbalt Ferro Gonzales Polan , Oscar Huanca Frías José , Ticona Carrizales Lucio , Gregoria Sánchez Prieto María , Jesús Maquera Luque Pedro , Apaza Apaza Silverio
Published: April 2022

The use of online social networks is giving rise to a line of research focused on the phenomenon of addiction that occurs due to the intense use of technologies and the Internet. The objective of the study was to determine the re-lationship between the use of virtual social networks and social skills in universi-ty students from northern Peru. The design was non-experimental, cross-sectional, correlational. A survey was applied as a technique and the instruments were two questionnaires, the Test of addiction to the use of social networks-ARS and a Test scale of social skills-EHS. It was found that 71.7% of students showed a low level of obsession with the use of virtual social networks, 27.2% medium level, while 1.1% high level. Concluding that addiction to social net-works has a significant relationship with social skills; that is, the greater the use of social networks, the greater the development of social skills. Keywords: Addiction, college students, social skills, social media
Effective deep learning through bidirectional reading on masked language model
Authors: Nishimoto Hiroyuki
Published: April 2022

Google BERT is a neural network that is good at natural language processing. It has two major strategies. One is “Masked Language Model” to clear the word-level relationships, and the other is “Next Sentence Prediction” to clear sentence-level relationships. In the Masked Language Model, with the task of masking some words in sentences, BERT learns to predict the original word from context. Some questions come to mind. Why BERT achieves effective learning by reading in two ways from fore and back? What is the difference between the bidirectional reading? In the Masked Language Model with the task of masking some words, the middle sentence is “I ate [mask] every morning”. First, predict the masked word by forward reading. The previous sentence is “Considering my health, I decided to change the breakfast menu”. What is asked in general? We usually think about which is more realistic and reach “an apple”. The answer is “feasibility”.Next, predict the masked word by backward reading, focusing on the middle sentence and the post sentence “A month later, I lost 3 kg and became healthy.” What is asked in general? In such a situation, we are looking for success factors. We usually think about which is more relevant and reach “an apple”. The answer is causality. Therefore, BERT is learning to predict feasibility by forward reading and causality by backward reading.Besides, the bidirectional reading technique can be applied to scenario planning using back-casting from the future. Scenario planning is making assumptions on what the future is going to be. A scenario can be described in two ways, one is fore-casting and the other is back-casting. Fore-casting means viewing from the present to the future. In general, back-casting means viewing from the present to the past. But in this paper, it means viewing from the future to the present. Just as there are two different predictions for bidirectional reading, there is a big difference between fore-casting into the future and back-casting from the future. How do you feel about the first scenario using fore-casting? You tend to focus on feasibility. Therefore, a long debate starts about the feasibility, such as “Is it possible?”, “Is it difficult?”, and “How to achieve?”.On the other hand, how do you feel about the second scenario using back-casting from the future to the present? This scenario has to be written in past mode because of back-casting. If it is written in past mode, you feel it has done and someone has resolved all the problems by that time. The surrounding words in past mode change your feeling from prediction to event context. You tend to focus on causal factors of success. You can escape from the long debate.Scenario planning using back-casting from the future to the present makes a good proposition, except for long discussions. Besides, in terms of the mystery of deep learning, each answer lies in human thinking mechanism because AI is created by imitating the human brain.
A Framework for the Evaluation of Machine Learning Algorithms based on Fuzzy AHP and VIKOR
Authors: Yelandi Leyva Vazquez Maikel , Javier Poma Torres Francisco , Enrique Valverde Landivar Galo , Angel Quiroz Martinez Miguel
Published: April 2022

Decision-makers consider various criteria, sub-criteria, alternatives, scores, and other parameters for choosing a tool. The problem is decision-making considering objectives that conflict with complex factors such as social, economic, political, technological, or environmental. It is not possible to make decisions based on a single criterion. The objective is to develop a framework for evaluating decisions based on fuzzy logic by hybridizing the fuzzy-AHP and VIKOR methods to select ML algorithms that increase these algorithms' effectiveness in specific problems. The methodology used in this proposal is oriented to exploratory research that allows to identify and define a problem or issue with a quantitative approach. This research resulted in a Decision Assessment Framework based on fuzzy logic and hybridization of methods AHP and VIKOR to select ML algorithms and validate the model obtained through the methods defined in the research. It was concluded that the proposed framework is a technique for determining the detailed evaluation of ML algorithms and resolving multicriteria decision-making; this approach is a tool that uses Fuzzy AHP in assigning weight to criteria, and these scores are processed with VIKOR in a multicriteria mode, and get an alternative/compromise solution, here the evaluation is scientific, fair, and rational.
Application of Artificial Intelligence Technology in Clothing Human Body Database
Authors: Zu Weilin , Pan Li , Yao Tong , Gu Yiran , Sun Hong , Wang Junru , Wang Jun
Published: April 2022

This article summarizes and analyzes the current situation of clothing human database technology and application of AI technology of the clothing human databases’ using, and looks ahead to the development trend of AI and clothing human body database in future. By means of literature searching, this article mainly investigates the Chinese clothing human body databases and makes analytical comparisons between the AI applied in the construction of clothing human body database, such as data mining and neural network, and database architecture. Within AI, the processing and management of data in the clothing human body databases and the function of size database-basing classification can be improved in the big data environment. Through the investigation and analysis of the clothing human body databases, the article concludes that the AI should be combined with clothing human body databases and new technology should be used to optimize and develop the databases in future.
The View Switching Cost Analysis by the Visuo-auditory Dual-task Paradigm
Authors: Fuchen Dongxin , Peng Ningyue , Wang Haiyan , Niu Yafeng , Xue Chengqi
Published: April 2022

View switching, for example different information density, type and magnitude, will cause additional switching cost between different scene. In this paper, the user interface of different information density will be used to explore the additional switching cost between different view transition through the dual-task paradigm. We use visual-auditory task to observe the interactive effect between the two tasks. Subjects need to do the searching and counting task in visual scene and do auditory task response in the meantime. We find that 1) view switching (information density) will generate additional switching cost from the scene of low information density to high information density by analyzing the visual task performance; 2) the mutual effect is obvious when subjects do the visual and auditory task at the same time that visual searching and counting task will expend more cognitive resources than auditory response task as the dual-task goes on.
Data container for autonomous cars
Authors: Bobulski Janusz , Kubanek Mariusz , Kulawik Joanna , Szymoniak Sabina
Published: April 2022

In the future, autonomous cars will become commonplace. However, they require the development of complex software. Therefore, our research focused on developing a multimedia container structure containing three types of images: RGB, Lidar and infrared, calibrated adequately against each other. An additional goal is to establish libraries of programs for creating, saving and saving these types of files. It will also be necessary to develop a method for synchronising data from Lidar, RGB and infrared cameras. This type of file could be used in autonomous vehicles, facilitating data processing by the intelligent autonomous vehicle management system and providing the driver with valuable information.
Improvement and Research of Symmetry Quantization Algorithm for Abstract Black and White Images
Authors: Dai Renjie , Liu Xiaojun
Published: April 2022

To scientifically quantify the overall symmetry of the image and assist the designer in design, the objectivity and accuracy of the algorithm for quantifying symmetry proposed by Michael Bauerly are verified through experiments, and the algorithm proposed by Michael Bauerly is improved and verified with reference to the beauty calculation formula proposed by Ngo and others. It is verified that the improved algorithm can make the value obtained from the quantized image symmetry more consistent with the judgment of human eyes, which is helpful to assist designers in the design.
Model based on Lean Service to optimize the level of service in a Peruvian MYPE importer and marketer of medical equipment
Authors: Penafiel Juan , Urbina-Tapia Allison , Acevedo-Quiroz Vanessa , Viacava Gino
Published: April 2022

The low level of service is a problem that affects MYPEs from various sec-tors in Latin America, revealing the existing technical gap compared to other developed countries. This causes various losses that affect profit and increase operating costs. That is why this study analyzes the level of service of the corrective maintenance process of a medical equipment marketer MYPE, currently being 64.4%. It was detected that it was at non-conforming levels due to reprocesses and delays within the corrective maintenance process. Based on the results of the analysis, the application of a continuous improvement model was proposed, based on Lean tools and Inventory Management principles, being validated by a pilot test. Within the final measure-ments, a considerable reduction of the aforementioned problems was obtained, generating an increase in the level of service up to 90%.
Total Productive Maintenance Model applying SMED and FMEA to increase the overall efficiency of equipment (OEE) in the food sector
Authors: Altamirano Ernesto , Caballero-Rojas Karen , Palacios-Aguilar Oscar
Published: April 2022

In the manufacturing sector, the Lean philosophy is well known for proposing the reduction of waste within the industry, which is manifested in terms of downtime within companies. In a sector of large proportions such as mass consumption food, the reduction of these losses translates into significant savings in the business economy, so key indicators, such as the OEE, are used to evaluate the efficiency of the process in terms of quality, performance and availability. Within this context, this article presents an application model of Total Productive Maintenance (TPM), using FMEA for the diagnosis and SMED for the optimization of the results, within its structure; which was validated through a pilot test, achieving an increase of 5.17% in the OEE of the sauce production line of the company in the case study, demonstrating the effectiveness of the model within contexts whose losses lie in prolonged machine downtime.
Model based on SLP and work study to increase productivity in a bakery SME in Peru
Authors: Castro Percy , Cadillo-Hidalgo Diana , Yacub-Sotelo Yassef , Ramos Edgar
Published: April 2022

During the last decade, SMEs of bakery products in Peru have presented high production costs due to the empiricism in carrying out activities generating times that do not add value to the process, which directly influence low productivity. Furthermore, this sector has potential growth that must be exploited using innovative methods to achieve greater competitiveness. Furthermore, there is little evidence in the scenario of bakery SMEs that seek to reduce travel times in the process and improve methods in the production ar-ea. This article presents a model that integrates the SLP methodology and work study with the aim of increasing productivity in a bakery SME by optimizing the resources used and generating significant cost savings. The model was validated in a Peruvian bakery, where productivity was improved from 1.22 to 1.45.
Inventory planning and management model to increase the level of service in a telecommunications product distribution company
Authors: Salas Rosa , Esquivel-Alvarez Diego , Postigo-Sanchez Cesar , Ramos Edgar
Published: April 2022

Telecommunications product distribution companies have begun to have a low level of service with their clients due to lack of stock and lost sales, these represent 54.13% of the total problems that distributors have. Inventory control plays an important role, since it gives us, in advance, generate an order and the quantity of the product. The objective is to increase the service level of a distribution company, which has the same problems mentioned initially, therefore, inventory management and planning will be implemented focusing on the ABC multicriteria, Forecast in relation to the level of service and EOQ with variable demand to minimize unfinished and / or rejected sales and reduce excess inventory. The research study wants a service level scope of 86.72% by 2019 and 98.31% by 2020.
Lean model implemented in a textile MYPE for order fulfillment: Case of Peru
Authors: Salas Rosa , Gallardo-Flores Claudia , Ramos-Baños Percy , Ramos Edgar
Published: April 2022

The objective of this research is to develop a model with lean tools and supplier management to reduce non-fulfillment of orders for a Gamarra textile MYPE dedicated to the production of jean garments. The contribution of this research is to develop a model that combines Lean Manufacturing tools, such as Poka Yoke, VSM and Kaizen, with Supplier Management, considering the commitment of workers as the key to its implementation. This will allow to easily identify those activities that do not generate value and that are not necessary in the current production chain of the company. The company's current non-compliance indicator is 41%, which is expected to be a reduc-tion to 10% of the non-compliance percentage, taking as a reference the indicator of the textile sector in Guayaquil.
Design of a new plant to optimize the production capacity of a MYPE, based on the principles of Systematic Layout Planning, 5s and Project Management
Authors: Penafiel Juan , Mau-Dongo Estefani , Merino-Zavaleta Erick , Viacava Gino
Published: April 2022

The case study presented analyzes the operations of a Peruvian MYPE in the plastics sector. Based on a diagnosis, a deficit in its production capacity was identified with representative costs equivalent to 9% of its annual turnover, derived from the lack of machines and inefficiencies, which even being solved would not allow to satisfy the demand, so confirmed that the company's decision was correct. In this way, a project was proposed that would allow the design of the new facilities of the company in a larger premises, with the aim of optimizing its production capacity and preventing the bad practices detected at present from being repeated, validating their viability through a virtual prototype. Likewise, based on the calculations, it would be possible to increase the installed capacity by 53.5%, exceeding the projected demand within three years by 24.90%, which would allow greater organizational growth in the future.
Design and modeling of a maca leaf cutter and classifier machine for the Junin region
Authors: Chavez Heyul , Curiñaupa-Alvarez Marvin , Quispe Grimaldo , Rivera Luis , Dominguez Francisco
Published: April 2022

In the high Andean areas of Junín in Peru, maca (a tuber typical of Peru) and maca flour are produced. At the end of the harvest, farmers have the hard work of removing the root and stalks of the remaining maca. Faced with this problem, the "stalk cutting and maca sorting machine" was designed, a machine proposed when analyzing the difficulty of cleaning the maca after harvest, then it must be dried and processed. This proposed machine will save time and increase produc-tion. In the traditional way (manual), farmers clean 4 kg of maca in 2 to 3 minutes, however, with the proposed machine 6.67 kg of maca will be cleaned in 3 minutes. In addition, a heat treatment will be developed on the copper surface that will have contact with the tuber, for the elimination of bacteria and viruses such as COVID-19.
Effectiveness of Permit to Work Systems Narrative
Authors: Amm Heather
Published: April 2022

The main purpose of this paper is to review the effectiveness of Permit to Work (PTW) systems within current academic literature and build an understanding of what recommendations can be implemented to establish a PTW system that conclusively manages the risk and hazards that people undertaking high risk and non-routine work are exposed to. PTW is a control system that is used to assess and manage the hazards associated mostly with high risk work, such as work at height, hot work, electrical work or confined spaces as well as non-routine work. Failure of the PTW system can have catastrophic consequences as seen in the Piper Alpha oil platform explosion where 167 people were killed, the Longford Gas release and explosion where two people were killed and the Phillips Chemical Company fire at Pasadena where there were 23 fatalities. For this article the search terms ‘Permit to Work’, ‘Permit-to-Work’, ‘Hot Work Permits’ were used to retrieve journal articles on PTW systems from the University of Newcastle’s library database. Two further criteria were applied - firstly, the article must be published after 1990 allowing for the last 30 years of major incidents to be captured, and secondly, any article that was attempting to sell a particular product was excluded as these articles were not reviewing PTW systems or major incidents causes but rather the effectiveness of their own products.In every system there are strengths and weaknesses. In reviewing the literature on PTW systems, five key weaknesses were identified: inadequate training, deficiencies of paper based PTW systems, failure of effective handover at shift change, weak leadership commitment to the PTW system and inadequate auditing scheduling and techniques. Effective PTW systems are not an unachievable goal for business. It will be demonstrated through this review, a PTW system that considers the five key deficiencies discussed and overcomes these, can be an effective PTW system. A business with leadership that drives a culture of safety as number one, can implement and gain adherence to an effective PTW system. Regular and comprehensive auditing of the PTW system including the training of personnel who use the system will enlighten the business on where there is room for improvement. A PTW system must have a comprehensive handover procedure between shifts. If there is capacity to implement an electronic PTW system then this is preferable to a paper based system as long as it is customisable and covers all the requirements of a what is considered as a robust PTW system including: the authorised personnel, limitations of each permit, hazards and precautions identified through risk assessment, the permit’s validity time frame, handover and closure. In this review, it will be demonstrated that a PTW system that considers the five key deficiencies and overcomes these can be an effective PTW system.
Influence of work incentives on the normative commitment of financial personnel of municipal savings banks
Authors: Castaneda Elva , Ccorisapra Jeferson , Machaca Joaquin , Quispe Grimaldo , Chavez Heyul
Published: April 2022

The main objective of this research is to determine the Influence of work incentives on the regulatory commitment of financial personnel of rural municipal banks. The study contemplates a quantitative approach, ex post facto design, cross-sectional and explanatory level, with a convenience sample of 94 employees. The variable "work incentives" is made up of 7 items and the normative commitment with 6 items; making a total of 13 items and analyzed in the SmartPLS (v.3.3.2). Regarding the determination of the influence of incentives on normative commitment, an effect of 0.556 ** was identified, with a level of significance (p ≤ 0.05). Finally, it is stated that work incentives positively influence the regulatory committee of finance personnel.
Implementation of Lean Manufacturing in the company dedicated to the production of grains
Authors: Castaneda Elva , Arotoma Thays , Quispe Grimaldo , Chavez Heyul
Published: April 2022

The following investigation shows the problems in “Industria Granero del Centro EIRL”, it is a company that is dedicated to the production of grains such as split bean, split wheat, american morón and corn flour. The goal is to improve the production planning and scheduling system, and eliminate overproduction and economic losses. VSM (Value Stream Mapping) was used to identify the improvement in the production process. The root causes of the problem were then determined using the Ishikawa diagram. The activities to be carried out are: identification of times of each process of the evaluated product, carry out the implementation of the master production plan, application of Kanban and application of Heijunka for load balancing [1]. The results of this implementation will be visualized through a simulation making use of efficiency, effectiveness and productivity indicators to meet the objective.
Corporate Governance Model for Customs Agency in accordance with Federal Customs Law Article 167-D in Mexico
Authors: Vicente Villa Garcia Jorge , Martinez Gutierrez Rodolfo
Published: April 2022

Customs agencies operate under the protection of a customs agent patent with a natural person, and there is an amendment to the Customs Law published in the Official Gazette of the Federation on June 25, 2018, establishing the model of a customs agency so that it can operate under the concept of "customs agency patent", conceptualized as a legal entity. Objectives: The definition of the Customs Agency in the second article of the Customs Law, as: "Customs agency, legal entity authorized in terms of article 167-D, to promote the customs clearance of goods for third parties in different customs regimes provided in this Law ”Results: The Customs Agent is defined in section XXI of the second article itself as:“ XXI. Customs agent: natural person authorized in terms of article 159 of this Law by means of a patent, to promote the customs clearance of merchandise on a third-party basis.Keywords: Customs Patent, Customs Agency, Customs Broker. The Mexican regulations published in the Official Gazette of the Federation, on the operation of the customs agent, has generated a reflection and concern about the possibility that no customs agency, continue to dispatch its operations, under the figure of a customs agency patent, if it does not comply with what is established in the scheme offered by the figure of the customs agency patent incorporated in the Federal Customs Law (DOF, 2018). Therefore, it is necessary to seriously consider obtaining the company's patent to incorporate elements of operational validity.
A Modular Structure to Explore the Interface Design and Interaction Testing Process of Teams
Authors: Memarian* Bahar , Koulas Christos , Fisher Brian
Published: April 2022

Interface design and interaction testing is not a completely robust or scientific process. Rather, it is an artful, iterative, social process regulated by inter- or multi-disciplinary design teams. Lamentably, the design trajectory and iterations are often left out or partially communicated in the description of a published design. We offer display design considerations considering AI and propose a modular structure for the interface design and interaction testing process of teams. The key feature of the structure is that it considers display design and display interaction testing and general experimental design and enables teams to transparently communicate how they start, traverse, and end their design cycles. The system can be accessed via an established Industrial Engineering Society on the world wide web. Such a structure would enable studying where innovation and failure happen through iterations of steps taken by different design teams. Subsequently, the information can be used to enrich future research.
Correctional and Developmental Work for Children With Down’s Syndrome and Children with Autism by Means of Color and Music Therapy
Authors: Psheminska Larisa
Published: April 2022

The article examines the features of the use of new approaches to correctional and developmental work focused on children with mental and physical retardation, in particular, "sun children" (with Down syndrome) and "rain children" (with autism spectrum disorder) in inclusive education. It highlights the theoretical material and owns view of the practical use of the synthesis of music and colour in the implementation of this activity. The paper elucidates the mental processes that occur during the processing of information in the hemispheres of the child's brain. It reveals the wave energy nature of colour and the associative relationship of colours with the sound of musical works. The light auditory and the creative-practical component of classes have been described. Particular emphasis has been placed on the characteristics of perception, behaviour and performance of colour music tasks by "special" children. It has been shown that our proposed program of colour music therapy has a positive effect on the emotional sphere, improves the quality of communication, and enhances the ability to self-regulation, creative activity of children.
Lesson Learned of Tablet Course for Semi-literate Immigrants
Authors: Ahola Marja , Hartikainen Anita
Published: April 2022

This research seeks to identify how to design accessible training for semi-literate immigrants that promotes the learning of the Finnish language, culture and digital skills. Semi-structured interviews with 12 semi-literate learners, the teacher and two native language speakers were conducted. The dataset was collected from a private service provider, and it includes a digital footprint of training. The training was a 20 weeks pilot experiment, and it was implemented in early 2020. The design was based on the user's previous experience. The perceived major crucial success factors are empathic and equal interaction, encouragement, ease, trust, security, multilingual and technological support, and competencies of the parts of training. The empathy-based, carefully planned interactive digital design may be effective, attractive and easy for semi-literate learners. The case study of the tablet course encourages further investigation and the development of online training for low-literate learners.
Services performance with the process standardization for tire rotation, alignment and balancing
Authors: Àlvarez Sànchez Ana , Suàrez Del Villar Labastida Alexis , Santiago Guevara Flores Jonathan , Martínez Tocoronte Eric
Published: April 2022

Fred E. Meyers in the book Study of Times and Movements for agile manufac-turing indicates that companies that implement standardization to services and production have a yield of 85% increasing productivity with the same resources. The objective of this investigation was the standardization of the service times of the tire rotation, Alignment and Balancing processes, carried out in a service company that sells tires and complementary products, they have three state-of-the-art workstations and two male technicians who meet the requirements to per-form the functions inherent to the position they occupy. We normalize the cycles of the operations through measurement techniques and data obtained through collective observation in the jobs to determine the current situation of each of their activities or tasks, time study sheets, the Westinghouse Method and Meth-od of returns to zero, in this way the standard times and supplementary percent-ages were established. With the established proposals to reduce the percentages of the variable supplements of use of muscular force / energy to lift, pull and push a weight of 25 kg from 13% to 1% by the implementation of a hydraulic lifting table bringing it to 5 kg and the reduction from 2% to 0% of the intermit-tent and loud noise of 95 dB using hearing protectors is reduced to 85 dB and a continuous sound is perceived, total supplements were reduced from thirty-one percent to fourteen percent which leads to have better delivery times with a de-crease of 0.722 minutes for the interlocking operation and 0.60 minutes for bal-ancing, having an effective working day of 408 minutes.
Guidelines for Social XR Implementation of Social Cues
Authors: Toet Alexander , Ter Riet Maikel , Mioch Tina , F Hueting Tom , B.F. van Erp Jan , Niamut Omar
Published: April 2022

In our digital age, human social communication is increasingly mediated. However, mediated social communication (MSC) systems will only become a viable alternative for in-person social interactions when they reliably and intuitively convey all relevant social and spatial cues needed by communication partners to establish effective communication, collaboration, mutual understanding, and trust. A lot of research has been done on mediated communication in general, and on the effect of social cues in particular. However, this research typically focuses on particular social cues, investigating effects of implementations in particular situations. In addition, the research often focuses on answering psychological or cognitive questions. The translation to design questions such as functional and technical requirements is often left to the developers of the technical systems. This leaves a gap between psychological research results and a translation towards practical guidelines for designers and developers. This paper aims to make a first step towards guidelines for the implementation of social cues for social XR implementations.
Integrating Big Data for measuring liver volume using algorithms by removing noise and MRI modality
Authors: Ali Khalda , MOHAMED AMIR , Alzaidi Maram
Published: April 2022

Big data is massive amount of information that work wonderfully. Due to the great potential that it has for the last two decades this topic is taking a special interest. In any analysis scientists, the way in which it leverages, manage and analyse can change. The most promising field in which big data use for making the change is measuring soft organs in the human body such as a liver organ. For measuring organ and medical imaging informatics research it increasingly used the technologies of big data. For certain advanced big data analytics methods, predictive analytics, and user behaviour analytics the term big data used. At an unprecedented scale and speed huge amount of medical imaging and visual informatics data have been collected and generated. in big data in measuring liver volume, several sources incorporate medical examination results, hospital records, devices, and patient's medical records that are a piece of the internet of things. In medical imaging, it also finds its usages. In order to treat, diagnose or monitor medical conditions to view the human body the various technologies that are used referred to as medical imaging.
Learning Design of Intelligent TV Interactive Interface for Aging Population Based on Kano Model
Authors: Wu Tong , Yao Wang Lu
Published: April 2022

With the deepening of population aging trend, the demand for population aging has also increased significantly.More and more elderly people are being popularized and occupied in their daily life by intelligent products and the Internet to a large extent. Intelligent TV is an indispensable entertainment electronic network environment and family entertainment center for the elderly, but the cognitive and learning ability of the elderly has been ignored.In this paper, with the aim of intelligent television aging design as the research object, investigate the use of television, learning and cognitive characteristics, physiological function based on the Kano model theory of interface design, at the heart of the smart TV 55-75 elderly users request has carried on the investigation and interview, through qualitative and quantitative research to determine the use of smart TV demands for the elderly,Translate into requirements items.Combined with the theoretical model of intelligent interface interaction design, cognitive psychology and interface design methods, the design process of elderly intelligent TV interface was explored and its feasibility was evaluated.In order to help the elderly improve their ability of self-learning intelligent products and intelligent information in the digital era, and improve the interactive experience of the elderly smart TV, it provides some reference value for the interactive interface design of intelligent products for the elderly.
An Approach to Investigate Public Opinion, Views, and Perspectives Towards Exoskeleton Technology
Authors: Thakur Nirmalya , Luong Cat , Y Han Chia
Published: April 2022

Over the last decade, exoskeletons have had an extensive impact on different disciplines and application domains such as assisted living, military, healthcare, firefighting, and industries, on account of their diverse and dynamic functionalities to augment human abilities, stamina, potential, and performance in a multitude of ways. In view of this wide-scale applicability and use-cases of exoskeletons, it is crucial to investigate and analyze the public opinion, views, and perspectives towards exoskeletons which would help to interpret the effectiveness of the underlining human-robot, human-machine, and human-technology interactions. The Internet of Everything era of today's living, characterized by people spending more time on the internet than ever before, holds the potential for the investigation of the same by mining and analyzing relevant web behavior, specifically from social media, that can be interpreted to understand public opinion, views, and perspectives towards a topic or set of topics. Therefore, this paper aims to address this research challenge related to exoskeletons by utilizing the potential of web behavior-based Big Data mining in the modern-day Internet of Everything era. As Twitter is one of the most popular social media platforms on a global scale – characterized by both the number of users and the amount of time spent by its users on the platform – this work focused on investigating web behavior on Twitter to interpret the public opinion, views, and perspectives towards exoskeleton technology. A total of approximately 20,000 tweets related to exoskeletons were used to evaluate the effectiveness of the proposed approach. The results presented and discussed uphold the efficacy of the proposed approach to interpret and analyze the public opinion, views, and perspectives towards exoskeletons from the associated tweets.