• Title/Summary/Keyword: Platform Workers

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Crowdsourcing Software Development: Task Assignment Using PDDL Artificial Intelligence Planning

  • Tunio, Muhammad Zahid;Luo, Haiyong;Wang, Cong;Zhao, Fang;Shao, Wenhua;Pathan, Zulfiqar Hussain
    • Journal of Information Processing Systems
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    • v.14 no.1
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    • pp.129-139
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    • 2018
  • The crowdsourcing software development (CSD) is growing rapidly in the open call format in a competitive environment. In CSD, tasks are posted on a web-based CSD platform for CSD workers to compete for the task and win rewards. Task searching and assigning are very important aspects of the CSD environment because tasks posted on different platforms are in hundreds. To search and evaluate a thousand submissions on the platform are very difficult and time-consuming process for both the developer and platform. However, there are many other problems that are affecting CSD quality and reliability of CSD workers to assign the task which include the required knowledge, large participation, time complexity and incentive motivations. In order to attract the right person for the right task, the execution of action plans will help the CSD platform as well the CSD worker for the best matching with their tasks. This study formalized the task assignment method by utilizing different situations in a CSD competition-based environment in artificial intelligence (AI) planning. The results from this study suggested that assigning the task has many challenges whenever there are undefined conditions, especially in a competitive environment. Our main focus is to evaluate the AI automated planning to provide the best possible solution to matching the CSD worker with their personality type.

A Study on the Design of Low-Code and No Code Platform for Mobile Application Development

  • Chang, Young-Hyun;Ko, Chang-Bae
    • International journal of advanced smart convergence
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    • v.6 no.4
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    • pp.50-55
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    • 2017
  • Workers' demands for new applications, especially mobile applications, are increasing. Many industry analysts, researchers and corporate executives say the demand for mobile applications is becoming increasingly difficult to follow in the IT department. Gartner predicts that by 2021, the demand for mobile application development within the enterprise will increase about five times faster than IT can deliver applications. The purpose of this paper is to provide an environment where non-developers who are in charge of business development can develop apps and webs for their work. The basic concept of a new innovative App development tool, Smart Maker Authoring Tool is to develop Apps on the level using easy-to-learn Word or Excel in a computer. The main feature is that the app is developed by a non-developer worker. The coding technology is perfectly optimized to the structure and operation mechanism of the IT Infra such as hardware devices and operating system, which are the targets for implementing a desired function. Rather, it shows excellent software productivity. The most important feature of future business development is that it is developed by a non-developer worker. In this paper, we propose a no-code and low-code platform for non - developers to develop their business. In the future, we will link the IoT based Arduino system and artificial intelligent interpretation system.

Technological Factors Facilitating B40's Motivation in Malaysia to Continue Using Online Crowdsourcing Platform

  • NA'IN, Nuramalina;HUSIN, Mohd Heikal;BAHARUDIN, Ahmad Suhaimi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.117-126
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    • 2021
  • The increasing number of retrenchments because of the current global pandemic, Covid-19, has led many to shift to the digital economy, especially among the low-income group (B40) in Malaysia. Crowdsourcing is the collection of information, opinions, or work from a group of people, usually sourced via the Internet. Fueled by the development of Internet-based platforms that provided its technological foundation, and the need for an agile and uniquely skilled workforce, crowdsourcing has grown from the grassroots, with a burgeoning body of research investigating its many aspects. However, very few studies examined crowd workers' motivation for continuous participation on online crowdsourcing platforms. Thus, this paper aims to explore the technological factors that facilitate B40's group motivation in Malaysia to continue to participate in online crowdsourcing platforms. This paper employed a qualitative approach, using a semi-structured interview. The thematic analysis method was used to decode the data extracted from the interview transcript. The finding of this study identified four main themes and seven sub-themes: (1) Technology efficacy, (2) Platform Management: client-worker management, safety net, payment mechanism, (3) Platform Design: UI design, rating feature and (4) Infrastructure: Internet connection, technology infrastructure. This study can provide a guideline for managing crowdsourcing practices in Malaysia, especially for the crowdsourcing platform developer.

A study on Factors Affecting to Domestic Cargo Transportation Platform Adoption Using the UTAUT Model (통합기술수용이론 요인 기반 국내 화물운송 플랫폼 수용의도에 관한 연구)

  • Tae-Jin Lee;Jin-Ho Oh;Young-Mok Ha
    • Korea Trade Review
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    • v.46 no.3
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    • pp.151-170
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    • 2021
  • This study is to examine the perception and difference of existing market participants on the intention of accepting domestic cargo transportation platform and analyze the effect of the intention on acceptance using UTAUT. Through the analysis, we can quantitatively examine the expectation of the cargo transportation platform expected by the participants in the transportation market and suggest implications. As the results of the analysis of variance conducted to understand the difference according to the variables of each industry, it was found that there was no difference in attitude according to the cargo transportation platform for workers of various companies such as transportation, distribution, and manufacturing. The results of the test showed that performance expectation, effort expectation, significance influence, and social impact had a positive (+) effect on acceptance intention. However, the hypothesis that perceived risk would have negative (-) effects on acceptance intention was not significant and was rejected.

Dose Assessment for Workers in Accidents (사고 대응 작업자 피폭선량 평가)

  • Jun Hyeok Kim;Sun Hong Yoon;Gil Yong Cha;Jin Hyoung Bai
    • Journal of Radiation Industry
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    • v.17 no.3
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    • pp.265-273
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    • 2023
  • To effectively and safely manage the radiation exposure to nuclear power plant (NPP) workers in accidents, major overseas NPP operators such as the United States, Germany, and France have developed and applied realistic 3D model radiation dose assessment software for workers. Continuous research and development have recently been conducted, such as performing NPP accident management using 3D-VR based on As Low As Reasonably Achievable (ALARA) planning tool. In line with this global trend, it is also required to secure technology to manage radiation exposure of workers in Korea efficiently. Therefore, in this paper, it is described the application method and assessment results of radiation exposure scenarios for workers in response to accidents assessment technology, which is one of the fundamental technologies for constructing a realistic platform to be utilized for radiation exposure prediction, diagnosis, management, and training simulations following accidents. First, the post-accident sampling after the Loss of Coolant Accident(LOCA) was selected as the accident and response scenario, and the assessment area related to this work was established. Subsequently, the structures within the assessment area were modeled using MCNP, and the radiation source of the equipment was inputted. Based on this, the radiation dose distribution in the assessment area was assessed. Afterward, considering the three principles of external radiation protection (time, distance, and shielding) detailed work scenarios were developed by varying the number of workers, the presence or absence of a shield, and the location of the shield. The radiation exposure doses received by workers were compared and analyzed for each scenario, and based on the results, the optimal accident response scenario was derived. The results of this study plan to be utilized as a fundamental technology to ensure the safety of workers through simulations targeting various reactor types and accident response scenarios in the future. Furthermore, it is expected to secure the possibility of developing a data-based ALARA decision support system for predicting radiation exposure dose at NPP sites.

Augmented Reality Framework for Data Visualization Based on Object Detection and Digital Twins

  • Pham, Hung;Nguyen, Linh;Huynh, Nhut;Lee, Yong-Ju;Park, Man-Woo
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1138-1145
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    • 2022
  • While pursuing digitalization and paperless projects, the construction industry needs to settle on how to make the most of digitized data and information. On-site workers, who currently rely on paper documents to check and review design and construction plans, will need alternative ways to efficiently access the information without using any paper. Augmented Reality is a potential solution where the information customized to a user is aligned with the physical world. This paper proposes the Augmented Reality framework to deliver the information on on-site resources (e.g., workers and equipment) using head-mounted devices. The proposed framework was developed by interoperating Augmented Reality-supported devices and a digital twin platform in which all information related to ongoing tasks is accumulated in real-time. On-site resources appearing in the user's field of view are automatically detected by an object detection algorithm and then assigned to the corresponding information by matching the data in the digital twin platform. Preliminary experiments show the feasibility of the proposed framework. Worker detection results can be visualized on HoloLens 2 in near real-time, and the matching process obtained the accuracy greater than 88%.

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Work-Related Stress Risk Assessment in Italy: A Methodological Proposal Adapted to Regulatory Guidelines

  • Persechino, Benedetta;Valenti, Antonio;Ronchetti, Matteo;Rondinone, Bruna Maria;Tecco, Cristina Di;Vitali, Sara;Iavicoli, Sergio
    • Safety and Health at Work
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    • v.4 no.2
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    • pp.95-99
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    • 2013
  • Background: Work-related stress is one of the major causes of occupational ill health. In line with the regulatory framework on occupational health and safety (OSH), adequate models for assessing and managing risk need to be identified so as to minimize the impact of this stress not only on workers' health, but also on productivity. Methods: After close analysis of the Italian and European reference regulatory framework and workrelated stress assessment and management models used in some European countries, we adopted the UK Health and Safety Executive's (HSE) Management Standards (MS) approach, adapting it to the Italian context in order to provide a suitable methodological proposal for Italy. Results: We have developed a work-related stress risk assessment strategy, meeting regulatory requirements, now available on a specific web platform that includes software, tutorials, and other tools to assist companies in their assessments. Conclusion: This methodological proposal is new on the Italian work-related stress risk assessment scene. Besides providing an evaluation approach using scientifically validated instruments, it ensures the active participation of occupational health professionals in each company. The assessment tools provided enable companies not only to comply with the law, but also to contribute to a database for monitoring and assessment and give access to a reserved area for data analysis and comparisons.

Development of Textile Fabrics Flexible Platform based Multiple Bio-Signal Central Monitoring System for Emergency Situational Awareness in High-Risk Working Environments (고위험 작업환경에서 응급상황 인지를 위한 직물형 플렉시블 플랫폼 기반의 다중 생체신호 중앙 모니터링 시스템 개발)

  • Jeon, Ki-Man;Ko, Kwang-Cheol;Lee, Hyun-Min;Kim, Young-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.12
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    • pp.227-237
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    • 2014
  • The purpose of this paper is to implement a multiple bio-signal central monitoring system based on textile fabrics flexible platform which can obtain and monitor bio signals(heart rate, body temperature, electrocardiography, electromyogram) of workers in special working environments and additional situational information (3-axis acceleration, temperature, humidity, illumination, surrounding image). This system can prevent various accidents that may occur in the remote work environment and provide fast and efficient response by detecting workers' situations in real-time. For it, the textile fabrics flexible platform was made as innerwear or outerwear so that it does not interfere with workers' performance while collecting bio-signal and situational information, and obtained information is sent to the central monitoring system through wireless communication. The central monitoring system is based on wireless medical telemetry service of WMTS (Wireless Medical Telemetry Service); can monitor from 2 to 32 people simultaneously; and was designed so that it can be expanded. Also, in this study, to verify performance of the WMTS communication model, packet transmission rates were compared according to the distance.

Research on the Direction of Building an Integrated Smart Platform at Construction Sites (건설현장 통합 스마트플랫폼 구축방향에 대한 연구)

  • Yeon Cheol Shin;Yu Mi Moon
    • Journal of the Society of Disaster Information
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    • v.20 no.3
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    • pp.620-634
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    • 2024
  • Purpose: This study aims to strengthen the linkage between the construction site and the headquarters, suggest the direction of building an integrated smart platform that can actually be operated and utilized in the field, and effectively implement safety management. Method: Agile methodologies were applied to build a flexible and scalable system through cloud-based and three-tier architectures. Functional requirements were set through an on-site survey, and design and construction were carried out by reflecting personal information protection and legal requirements. Result: The integrated smart platform proposed in this study strengthens the connection between the site and the headquarters to maximize the effect of safety accident prevention and safety management. This system has improved the safety awareness of workers and managers, and has realized more efficient safety management through a unified communication system. Conclusion: In the establishment of an integrated smart platform, it is essential to reflect the characteristics of the site when selecting the development method and establishing the function plan. In the basic design and detailed design stages, it is necessary to establish security measures, design mobile functions, and review device expansion, and consider enterprise-wide safety management, user convenience, and scalability. It is also important to maintain and improve the system, reflect legal requirements, and support the elderly and foreign workers. By strengthening personal information and CCTV security and continuously improving it by reflecting user opinions, it can be expected to activate an integrated smart platform.

A Study on Plant Training System Platform for the Collaboration Training between Operator and Field Workers (운전자와 현장조업자의 협동훈련을 위한 플랜트 훈련시스템 플랫폼 연구)

  • Lee, Gyungchang;Chung, Kyo-il;Mun, Duhwan;Youn, Cheong
    • Korean Journal of Computational Design and Engineering
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    • v.20 no.4
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    • pp.420-430
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    • 2015
  • Operator Training Simulators (OTSs) provide macroscopic training environment for plant operation. They are equipped with simulation systems for the emulation of remote monitoring and controlling operations. OTSs typically provide 2D block diagram-based graphic user interface (GUI) and connect to process simulation tools. However, process modeling for OTSs is a difficult task. Furthermore, conventional OTSs do not provide real plant field information since they are based on 2D human machine interface (HMI). In order to overcome the limitation of OTSs, we propose a new type of plant training system. This system has the capability required for collaborative training between operators and field workers. In addition, the system provides 3D virtual training environment such that field workers feel like they are in real plant site. For this, we designed system architecture and developed essential functions for the system. For the verification of the proposed system design, we implemented a prototype training system and performed experiments of collaborative training between one operator and two field workers with the prototype system.