• Title/Summary/Keyword: ICT Productivity

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A Study on the Relationship between Smart Work Adoption Factors, User Innovation Resistance, and Turnover Intention: Focused on the Moderating Effect of Organizational Control (스마트워크 도입 요인과 사용자 혁신저항 및 이직의도 간의 관계에 대한 연구: 조직통제 조절효과를 중심으로)

  • Young Kwak;Minsoo Shin
    • Information Systems Review
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    • v.23 no.4
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    • pp.23-43
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    • 2021
  • Due to the recent transition to a non-face-to-face society, many organizations are quickly adapting to foster a smart work environment. The introduction of smart work does not simply end with incorporating ICT systems or solutions into business models since fundamental factors such as forms of employment and work styles need to be in line with the progression of technological advances. However, previous studies regarding smart work focus on improvements in productivity and efficiency from a technology acceptance perspective. Therefore, there is a lack of discussion on innovation resistance from employees and management control when ICT systems are introduced into the workplace. This study empirically analyzes the moderating effects of the organizational control method for employees and innovation resistance within a smart work environment. Additionally, this study aims to identify the structural characteristics that employees resist from an innovation resistance perspective when organizational innovation occurs. The empirical analysis of this study suggests that when smart work such as ICT technology is introduced into the workplace the level of innovation resistance decreases when there is a high level of relative advantage and self-efficacy, whereas the level of innovation resistance increases when there is a high level of use complexity. Moreover, this study revealed that the level of innovation resistance increases when the employees' behaviors were controlled. The results of this study intend to contribute to improving business management by suggesting factors worth considering when incorporating smart work into work places through a thorough case analysis.

A Development of Railway Infrastructure BIM Prototype Libraries for Roadbed and Track (노반, 궤도분야 철도인프라 BIM 원형 라이브러리 구축)

  • Park, Hyung-Jin;Seo, Myoung-Bae
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.30 no.5
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    • pp.461-468
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    • 2017
  • The introduction of BIM in domestic construction industry has become more active. Library development and standardization in civil-engineering are unexhausted. This research develop and standardize prototype library for railway infrastructure. We define target facility for library based on railway standard drawings and select BIM software according characteristic of each facility. In this research, we develop libraries composed of 199 files and 489 types for alignment, roadbed and track and make specifications as defined attribution item and description. As we consider for application to diverse use case, develop prototype library in low LoD. We expect that library can increase 3D design productivity and ensure consistency of quality.

A Farm management System Using Drone (무인비행체를 이용한 방목형 목장관리 시스템)

  • Jung, Nyum;Kim, Sang-Hoon
    • Journal of Digital Contents Society
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    • v.18 no.5
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    • pp.889-894
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    • 2017
  • The purpose of this paper is to implement smart farm using automatic navigation, short - range wireless communication network technology, and automatic take - off and landing system using unmanned aerial vehicle to maximize the efficiency of grazing farm management. The grazing pasture management system that integrates ICT fusion technology for the activation of the mountain ecological livestock production is expected to contribute to the improvement of the productivity of the grazing livestock, the infrastructure to produce the excellent quality, and the competitiveness of the livestock industry in response to the FTA. And it will contribute to the improvement of career force through the supply to the farmhouse.

A Scenario-based Approach in Smart Agriculture Services (스마트농업 서비스의 시나리오 기반 접근)

  • Lee, Soong-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.7
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    • pp.1705-1710
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    • 2015
  • There have been lots of researches and developments for smart agriculture that enables higher efficiency and productivity by applying ICT into the agriculture field recently. However, there still remain many difficulties in purchasing foreign equipments or overseas expansion due to lack of international standards that are internationally approved. Such necessity leads to the international standardization activities driven by domestic experts especially in ITU-T SG13. This paper presents several smart agriculture services based on the service approach that can effectively describe use cases. The proposed architecture of service provision was applied to the document that has been consented as the ITU-T Recommendation Y.2238.

Development of Smart Farm Monitoring System (스마트팜 모니터링 시스템 개발)

  • Kim, Gwan-hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.287-288
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    • 2021
  • There is a growing interest in plant factories around the world, and in recent years, research on an automated management system that can grow crops even in an urban environment is in progress. The development of this management system is based on the development of ICT (Information Communications Technology) technology, and research is being conducted focusing on facilities, light sources, temperature, humidity and automation to increase the productivity of plants. Research on standardization is ongoing. In this paper, by constructing a test bed that can grow hydroponic ginseng in a container environment, we propose a model that can monitor and manage the environment for the growth process on mobile.

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A comparative study on keypoint detection for developmental dysplasia of hip diagnosis using deep learning models in X-ray and ultrasound images (X-ray 및 초음파 영상을 활용한 고관절 이형성증 진단을 위한 특징점 검출 딥러닝 모델 비교 연구)

  • Sung-Hyun Kim;Kyungsu Lee;Si-Wook Lee;Jin Ho Chang;Jae Youn Hwang;Jihun Kim
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.5
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    • pp.460-468
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    • 2023
  • Developmental Dysplasia of the Hip (DDH) is a pathological condition commonly occurring during the growth phase of infants. It acts as one of the factors that can disrupt an infant's growth and trigger potential complications. Therefore, it is critically important to detect and treat this condition early. The traditional diagnostic methods for DDH involve palpation techniques and diagnosis methods based on the detection of keypoints in the hip joint using X-ray or ultrasound imaging. However, there exist limitations in objectivity and productivity during keypoint detection in the hip joint. This study proposes a deep learning model-based keypoint detection method using X-ray and ultrasound imaging and analyzes the performance of keypoint detection using various deep learning models. Additionally, the study introduces and evaluates various data augmentation techniques to compensate the lack of medical data. This research demonstrated the highest keypoint detection performance when applying the residual network 152 (ResNet152) model with simple & complex augmentation techniques, with average Object Keypoint Similarity (OKS) of approximately 95.33 % and 81.21 % in X-ray and ultrasound images, respectively. These results demonstrate that the application of deep learning models to ultrasound and X-ray images to detect the keypoints in the hip joint could enhance the objectivity and productivity in DDH diagnosis.

Implementation of Cable Drum Scheduling Algorithm for Productivity Enhancement of Power Plant Electrical Installations (발전소 전기설비의 생산성 향상을 위한 케이블 드럼 스케줄링 알고리즘 구현)

  • Lee, Yang-Sun;Park, Ki-Hong;Choi, Hyo-Beom;Oh, Ji-Hyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.770-771
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    • 2015
  • In this paper, we proposed and implemented the automation of cable drum scheduling which is required a considerable construction cost for electrical equipment in power plant. Implemented cable drum scheduling can be reduced the calculation time of cable drum scheduling, and it is possible to minimize the consuming time of cable drum scheduling than conventional methods. Some experiments are conducted to verify the proposed method, and as a result, the automation of cable drum scheduling is well performed, enabling cables can be optimized and scheduled to fit the drum capacity with productivity enhancement of electrical installations.

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Social Media Adoption: Small and Medium-sized Enterprises' Perspective in Sri Lanka

  • SAMSUDEEN, Sabraz Nawaz;THELIJJAGODA, Samantha;SANJEETHA, Mohamed Buhary Fathima
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.759-766
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    • 2021
  • In this digital age, all organizational environments force businesses to adopt Information and Communication Technologies (ICT) since these technologies have immense impact on such businesses' competitiveness and productivity. Nonetheless, the productivity and the competitiveness enjoyed by such firms vary depending on the size or the organizations, context of the country; developing or developed, and what kinds of technologies are adopted. This investigation focused on small- and medium-sized enterprises (SMEs) of Eastern province of Sri Lanka where such studies are scanty. The adoption of social media (SM) by SMEs is inclined to change how organizations operate, this calls for an investigation of the elements that impact SMEs to adopt SM and such investigation. Technology-Organization-Environment (TOE) framework was based to understand the factors. Research approach was quantitative approach using questionnaire survey. Data were collected using online form to see 285 valid responses. Structural Equation Modelling was deployed to evaluate the proposed model. Results revealed that Relative Advantage, Compatibility, Complexity, Observability, Competitive Intensity, Bandwagon Pressure, and Competitive Pressure were influencing, while Trialability, Top Management Support, CEO's Innovativeness did not show statistically significant influence on SMEs' social media adoption.

A Study in the Review and Progressive Strategies of Smart Village in Rural Areas (농어촌지역 스마트빌리지 사업의 고찰과 추진방향)

  • Nam, Yun-Cheol
    • Journal of the Korean Institute of Rural Architecture
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    • v.25 no.1
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    • pp.17-24
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    • 2023
  • There are various issues in rural areas. There are population decline, aging, and the absence of jobs and amenities. The government continues to expand various projects for rural areas. Recently, the government is promoting smart village projects in farming and fishing villages. The purpose of smart village is safety, convenience, smartization, and productivity improvement. The purpose of this study is to investigate the project and implementation process of smart villages, and domestic and foreign cases. And it classifies smart villages and suggests implementation strategies. The conclusion is as follows. ①The smart village business focuses on safety, living convenience, facility smartization, and agriculture and fisheries. ②In overseas cases, the smart village project focuses on improving the residential environment of farming and fishing villages in the EU, the UK, and Germany. Japan focuses on improving energy and agricultural and fisheries productivity. ③It is recommended that the smart village business be subdivided and promoted as much as possible. And the project enhances synergy in cooperation with other government ministries. ④Smart services increase credibility through FGI for public officials and residents. ⑤The project is carried out in consideration of agricultural products, tourism festivals, natural environment, history and tradition.

Deep-learning-based gestational sac detection in ultrasound images using modified YOLOv7-E6E model

  • Tae-kyeong Kim;Jin Soo Kim;Hyun-chong Cho
    • Journal of Animal Science and Technology
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    • v.65 no.3
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    • pp.627-637
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    • 2023
  • As the population and income levels rise, meat consumption steadily increases annually. However, the number of farms and farmers producing meat decrease during the same period, reducing meat sufficiency. Information and Communications Technology (ICT) has begun to be applied to reduce labor and production costs of livestock farms and improve productivity. This technology can be used for rapid pregnancy diagnosis of sows; the location and size of the gestation sacs of sows are directly related to the productivity of the farm. In this study, a system proposes to determine the number of gestation sacs of sows from ultrasound images. The system used the YOLOv7-E6E model, changing the activation function from sigmoid-weighted linear unit (SiLU) to a multi-activation function (SiLU + Mish). Also, the upsampling method was modified from nearest to bicubic to improve performance. The model trained with the original model using the original data achieved mean average precision of 86.3%. When the proposed multi-activation function, upsampling, and AutoAugment were applied, the performance improved by 0.3%, 0.9%, and 0.9%, respectively. When all three proposed methods were simultaneously applied, a significant performance improvement of 3.5% to 89.8% was achieved.