• Title/Summary/Keyword: Internet Capabilities

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Sn58Bi Solder Interconnection for Low-Temperature Flex-on-Flex Bonding

  • Lee, Haksun;Choi, Kwang-Seong;Eom, Yong-Sung;Bae, Hyun-Cheol;Lee, Jin Ho
    • ETRI Journal
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    • v.38 no.6
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    • pp.1163-1171
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    • 2016
  • Integration technologies involving flexible substrates are receiving significant attention owing the appearance of new products regarding wearable and Internet of Things technologies. There has been a continuous demand from the industry for a reliable bonding method applicable to a low-temperature process and flexible substrates. Up to now, however, an anisotropic conductive film (ACF) has been predominantly used in applications involving flexible substrates; we therefore suggest low-temperature lead-free soldering and bonding processes as a possible alternative for flex-on-flex applications. Test vehicles were designed on polyimide flexible substrates (FPCBs) to measure the contact resistances. Solder bumping was carried out using a solder-on-pad process with Solder Bump Maker based on Sn58Bi for low-temperature applications. In addition, thermocompression bonding of FPCBs was successfully demonstrated within the temperature of $150^{\circ}C$ using a newly developed fluxing underfill material with fluxing and curing capabilities at low temperature. The same FPCBs were bonded using commercially available ACFs in order to compare the joint properties with those of a joint formed using solder and an underfill. Both of the interconnections formed with Sn58Bi and ACF were examined through a contact resistance measurement, an $85^{\circ}C$ and 85% reliability test, and an SEM cross-sectional analysis.

Gesture based Natural User Interface for e-Training

  • Lim, C.J.;Lee, Nam-Hee;Jeong, Yun-Guen;Heo, Seung-Il
    • Journal of the Ergonomics Society of Korea
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    • v.31 no.4
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    • pp.577-583
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    • 2012
  • Objective: This paper describes the process and results related to the development of gesture recognition-based natural user interface(NUI) for vehicle maintenance e-Training system. Background: E-Training refers to education training that acquires and improves the necessary capabilities to perform tasks by using information and communication technology(simulation, 3D virtual reality, and augmented reality), device(PC, tablet, smartphone, and HMD), and environment(wired/wireless internet and cloud computing). Method: Palm movement from depth camera is used as a pointing device, where finger movement is extracted by using OpenCV library as a selection protocol. Results: The proposed NUI allows trainees to control objects, such as cars and engines, on a large screen through gesture recognition. In addition, it includes the learning environment to understand the procedure of either assemble or disassemble certain parts. Conclusion: Future works are related to the implementation of gesture recognition technology for a multiple number of trainees. Application: The results of this interface can be applied not only in e-Training system, but also in other systems, such as digital signage, tangible game, controlling 3D contents, etc.

Development of the Compact Smart Device for Industrial IoT (산업용 IoT를 위한 초소형 스마트 디바이스의 개발)

  • Ryu, Dae-Hyun;Choi, Tae-Wan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.4
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    • pp.751-756
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    • 2018
  • In smart factories and industrial IoT, all facilities in a factory are monitored over the Internet, thereby facility can reduce the downtime and increase the availiability by preventive maintenance before it breaks down. The abnormal conditions of the major facilities in the plant are caused by abnormal temperature rise, vibration, and variations in noise. Consequently, it is critical to develop a very small smart device that is easily installed in a small space to enable real-time monitoring of the vibration status of the facility. In this study, smart devices were developed for smart factory fault prediction and robustness management using ultra small micro-controllers with WiFi capabilities and MEMS acceleration sensors.

Supporting Web-Based I/O Service by Extending Network Communication to Native Client (Native Client 네트워크 기능 확장을 통한 웹기반 I/O 서비스 지원)

  • Sung, Baegjae;Park, Sejin;Park, Chanik
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.4
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    • pp.249-254
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    • 2011
  • A user desktop service can be made available on internet or local area network with the help of virtualization and cloud technologies. The service is usually called a virtual desktop or a desktop cloud. However, a user interface is limited to I/O capabilities of a user's mobile terminal. In order to enhance a user interface on a remote virtual desktop, it is important to connect full-featured I/O devices which are founded locally. Our previous work called SoD (System-on- Demand) has proposed a technique to associate local full-featured I/O devices with a remote virtual desktop in Xen. On the technique, it is required to install a SoD client agent in a user's mobile terminal for connecting a remote virtual desktop. In this paper, we propose a new framework called Web-SoD that does not require any explicit installation to make SoD service available. The SoD client agent is provided by the web technology so that the agent can be installed transparently, and the platform independency is also achieved. Due to insufficient network socket performance of current web technologies, we extend Native Client (NaCl) proposed by Google to support a network functionality by modifying a NaCl library and a service runtime. With conducted experiment, we show that the network extension supports a full socket functionality over the compromised overhead on the web environment.

On the Need for Efficient Load Balancing in Large-scale RPL Networks with Multi-Sink Topologies

  • Abdullah, Maram;Alsukayti, Ibrahim;Alreshoodi, Mohammed
    • International Journal of Computer Science & Network Security
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    • v.21 no.3
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    • pp.212-218
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    • 2021
  • Low-power and Lossy Networks (LLNs) have become the common network infrastructure for a wide scope of Internet of Things (IoT) applications. For efficient routing in LLNs, IETF provides a standard solution, namely the IPv6 Routing Protocol for LLNs (RPL). It enables effective interconnectivity with IP networks and flexibly can meet the different application requirements of IoT deployments. However, it still suffers from different open issues, particularly in large-scale setups. These include the node unreachability problem which leads to increasing routing losses at RPL sink nodes. It is a result of the event of memory overflow at LLNs devices due to their limited hardware capabilities. Although this can be alleviated by the establishment of multi-sink topologies, RPL still lacks the support for effective load balancing among multiple sinks. In this paper, we address the need for an efficient multi-sink load balancing solution to enhance the performance of PRL in large-scale scenarios and alleviate the node unreachability problem. We propose a new RPL objective function, Multi-Sink Load Balancing Objective Function (MSLBOF), and introduce the Memory Utilization metrics. MSLBOF enables each RPL node to perform optimal sink selection in a way that insure better memory utilization and effective load balancing. Evaluation results demonstrate the efficiency of MSLBOF in decreasing packet loss and enhancing network stability, compared to MRHOF in standard RPL.

A Remote Sensing Scene Classification Model Based on EfficientNetV2L Deep Neural Networks

  • Aljabri, Atif A.;Alshanqiti, Abdullah;Alkhodre, Ahmad B.;Alzahem, Ayyub;Hagag, Ahmed
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.406-412
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    • 2022
  • Scene classification of very high-resolution (VHR) imagery can attribute semantics to land cover in a variety of domains. Real-world application requirements have not been addressed by conventional techniques for remote sensing image classification. Recent research has demonstrated that deep convolutional neural networks (CNNs) are effective at extracting features due to their strong feature extraction capabilities. In order to improve classification performance, these approaches rely primarily on semantic information. Since the abstract and global semantic information makes it difficult for the network to correctly classify scene images with similar structures and high interclass similarity, it achieves a low classification accuracy. We propose a VHR remote sensing image classification model that uses extracts the global feature from the original VHR image using an EfficientNet-V2L CNN pre-trained to detect similar classes. The image is then classified using a multilayer perceptron (MLP). This method was evaluated using two benchmark remote sensing datasets: the 21-class UC Merced, and the 38-class PatternNet. As compared to other state-of-the-art models, the proposed model significantly improves performance.

An Automation Instructor System using Finite State Machine within Web services

  • Aldriwish, Khalid
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.233-240
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    • 2021
  • The majority of the Web's success can be related to its productivity and flexibility. Web Services (WSs) have the means to create new patterns for the delivery of software capabilities. The WS easily provides the use of existing components available via the Internet. WSs are a new trend that shares ubiquitous systems with others, so the popularity of the Web is increased day by day with their associated systems. This paper will explore and adopt the possibility of developing a technique that will automate instructors' scheduling of timetables within a Web services environment. This technique has an advantage that facilitates users to reduce the time cost and effort by reducing errors and costs for institutes. Providing dependable tables to avoid mistakes related to instituting schedules is ensured by an automated repetitive manual procedure. Automated systems are increasingly developed based on organizations and their customers. Still, the setting's difficulty of automation systems increases to rise as the system architecture and applications must accomplish various requirements and specifications of ever-demanding project scenarios. The automation system is composed of an operating system, platforms, devices, machines, control system, and information technology. This architecture provides more productivity and optimized services. The main purpose of this paper is to apply an automation system to enhance both quality and productivity. This paper also covers an agile method of proving an automation system by Finite State Machine (FSM) and Attributed Graph Grammar (AGG) tool.

Establishment of ICT Specialized Teaching-Learning System in the Era of Superintelligence, Super-Connectivity, and Super-Convergence

  • Seung-Woo LEE;Sangwon LEE
    • International journal of advanced smart convergence
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    • v.12 no.3
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    • pp.149-156
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    • 2023
  • Joint research on software, electronic engineering, computer engineering, and financial engineering and the use of ICT knowledge through network formation play an important role in strengthening science and technology-based innovation capabilities and facilitating the development and production process of products using new technologies. For the purpose of this study, I would like to strategically propose ICT specialized education in the 4th industrial revolution. To this end, the ICT specialization model, ICT specialization strategy analysis, and ICT specialization operation and effect were explored to establish ICT specialization strategies centered on software, electronic engineering, computer engineering, and financial engineering in the era of super-intelligence, hyper-connected, and hyper-convergence. Secondly, a roadmap for detailed promotion tasks related to efficient ICT characterization based on core strategies, detailed promotion tasks, and programs was proposed, focusing on talent related to ICT characterization. Thirdly, we would like to propose a reorganization of the academic structure and organization related to ICT characterization. Finally, we would like to propose the establishment of a future-oriented education system related to ICT specialization based on the advanced education and research environment.

The Effects of ESG on Returns : Focusing on Chinese IT Companies

  • Jun-Chen Lin;Ji-Young Kwak
    • International journal of advanced smart convergence
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    • v.12 no.2
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    • pp.193-200
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    • 2023
  • This paper selects 100 IT companies listed on the Shenzhen Stock Exchange from 2016 to 2020, and the public announcement in Hwajung collects ESG integrated ratings and grades for each sector and empirically verifies the relationship between ESG ratings and stock returns. Huazheng ESG level data and QIANZHAN database Using corporate financial data, a total of 500 samples were selected through correlation analysis and linear regression analysis with SPSS23 to analyze the effect of ESG on Return. As a result of the analysis, first, the impact on stock returns was found to be a significant positive (+) value for ESG integrated ratings and ratings by E (environment), S (social), and G (governance) sectors, confirming that ESG ratings have a positive mold of corporate stock returns. Currently, the world's major economies have proposed sustainable development strategies and "carbon neutral" goals. Development strategies are very consistent with ESG concepts, and companies that agree and execute ESG concepts may have higher ratings than other companies in the same industry, resulting in certain evaluation premiums. In addition, capital market performance in recent years shows that companies with ESG concepts or "carbon neutrality" concepts are generally considered to have higher growth potential and stronger anti-risk capabilities in the market. For listed companies, they should focus on ESG investment, improve ESG performance, and actively disclose related information to investors. Improving ESG performance should deliver positive information to society, enhance corporate image, increase market confidence in the future development of listed companies, and positively improve corporate value to actively increase financial, financial, trading, and other aspects of negotiation.

An Ocean of Opportunity: The Digitalization of Small and Medium-sized Enterprises in Bitung, Indonesia

  • LAYMAN, Chrisanty V.;HANDOKO, Liza;SIHOMBING, Sabrina O.
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.1
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    • pp.41-48
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    • 2023
  • Over the past ten years, numerous industries have undergone upheavals that have significantly altered how businesses interact with their clients and how goods are created and produced bySMEs. Many cutting-edge technologies have recently been created and implemented to enhance business models, facilitate sustainability features for organizations, and boost business capabilities. This essay seeks to understand how digital entrepreneurship functions in developing nations. The results of this study show the effectiveness of digital transformation in the context of SMEs is greatly influenced by aspects including the change of managerial intensity and the involvement and perception of workers, customers, and shareholders. One of the needs that business owners showcased in this study in terms of digitization is infrastructure resources to support digitization such as devices, the Internet, and funds, but also the ability to use digital media for business development. Practical skills that business people want to learn such as product design and management of their social media accounts. There are also aspects of time and self-motivation of the business actor that can speed up or slow down the digitization process. Finally, government support that is structured in encouraging MSMEs is also one of the supporters and drivers of digitalization in the blue economy.