• Title/Summary/Keyword: Embedded application software

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Design and Implementation of MEARN Stack-based Real-time Digital Signage System

  • Khue, Trinh Duy;Nguyen, Thanh Binh;Jang, UkJIn;Kim, Chanbin;Chung, Sun-Tae
    • Journal of Korea Multimedia Society
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    • v.20 no.5
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    • pp.808-826
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    • 2017
  • Most of conventional DSS's(Digital Signage Systems) have been built based on LAMP framework. Recent researches have shown that MEAN or MERN stack framework is simpler, more flexible, faster and more suitable for web-based application than LAMP stack framework. In this paper, we propose a design and implementation of MEARN (ME(A+R)N) stack-based real-time digital signage system, MR-DSS, which supports handing real-time tasks like urgent/instant messaging, system status monitoring and so on, efficiently in addition to conventional digital signage CMS service tasks. MR-DSCMS, CMS of MR-DSS, is designed to provide most of its normal services by REST APIs and real-time services like urgent/instant messaging by Socket.IO base under MEARN stack environment. In addition to architecture description of components composing MR-DSS, design and implementation issues are clarified in more detail. Through experimental testing, it is shown that 1) MR-DSS works functionally well, 2) the networking load performance of MR-DSCMS's REST APIs is better compared to a well-known open source Xibo CMS, and 3) real-time messaging via Socket.IO works much faster than REST APIs.

Applying the IoT platform and green wave theory to control intelligent traffic lights system for urban areas in Vietnam

  • Phan, Cao Tho;Pham, Duy Duong;Tran, Hoang Vu;Tran, Trung Viet;Huu, Phat Nguyen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.1
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    • pp.34-52
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    • 2019
  • This paper proposes an intelligent system performing an application with assistance of an Internet of Things (IoT) platform to control a traffic lights system. In our proposed systems, the traffic lights can be remotely controlled through the Internet. Based on IoT platform, the traffic conditions at different intersections of roads are collected and the traffic lights are controlled in a central manner. For the software part, the algorithm is designed based on the green wave theory to maximize the green bandwidth of arterial roads while addressing a challenging issue: the rapid changes of parameters including cycle time, splits, offset, non-fixed vehicles' velocities and traffic flow along arterial roads. The issue typically happens at some areas where the transportation system is not well organized like in Vietnam. For the hardware part, PLC S7-1200 are placed at the intersections for two purposes: to control traffic lights and to collect the parameters and transmit to a host machine at the operation center. For the communication part, the TCP/IP protocol can be done using a Profinet port embedded in the PLC. Some graphical user interface captures are also presented to illustrate the operation of our proposed system.

Low-Power Streamable AI Software Runtime Execution based on Collaborative Edge-Cloud Image Processing in Metaverse Applications (에지 클라우드 협동 이미지 처리기반 메타버스에서 스트리밍 가능한 저전력 AI 소프트웨어의 런타임 실행)

  • Kang, Myeongjin;Kim, Ho;Park, Jungwon;Yang, Seongbeom;Yun, Junseo;Park, Daejin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.11
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    • pp.1577-1585
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    • 2022
  • As the interest in the 4th industrial revolution and metaverse increases, metaverse with multi edge structure is proposed and noted. Metaverse is a structure that can create digital doctor-like system through a large amount of image processing and data transmission in a multi edge system. Since metaverse application requires calculating performance, which can reconstruct 3-D space, edge hardware's insufficient calculating performance has been a problem. To provide streamable AI software in runtime, image processing, and data transmission, which is edge's loads, needs to be lightweight. Also lightweight at the edge leads to power consumption reduction of the entire metaverse application system. In this paper, we propose collaborative edge-cloud image processing with remote image processing method and Region of Interest (ROI) to overcome edge's power performance and build streamable and runtime executable AI software. The proposed structure was implemented using a PC and an embedded board, and the reduction of time, power, and network communications were verified.

A Study on the Agent Component Development Support to PDA (PDA 지원 에이전트 컴포넌트 개발에 대한 연구)

  • Kim Haeng-Kon
    • The KIPS Transactions:PartD
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    • v.13D no.1 s.104
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    • pp.37-50
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    • 2006
  • In the focusing on the important of wireless internet, mobile terminal device plays a central role in tracking and coordinating terms in mobile business processing. Especially, mobile device has been considered as a key technology for embedded software and ubiquitous era. Because existing web environments is moving to wireless internet, the new concepts for wireless internet computing environments has gained increasing interest. Mobile agents provide a new abstraction for deploying over the existing infrastructures. Mobile application systems require the flexibility, adaptability, extensibility, and autonomous. New software developments methodology is required to meet the requirements. In this paper, we present an agent architectures model that allows compassable components with pluggable and independable. Our approach involves wrapping components inside a servlet. We have used the model and components to develop the PDA mobile agent.

Performance Evaluation of IoT Cloud Platforms for Smart Buildings (스마트 빌딩을 위한 IoT 클라우드 플랫폼의 성능 평가)

  • Park, Jung Kyu;Park, Eun Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.664-671
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    • 2020
  • A Smart Building, one that uses automated processes to control its operations, refers in this study to one that uses both Internet of Things (IoT) devices and cloud services software. Cloud service providers (e.g. Amazon, Google, and Microsoft) have recently providedIoT cloud platform application services on IoT devices. According to Postscapes, there are now 152 IoT cloud platforms. Choosing one for a smart building is challenging. We selected Microsoft Azure IoT Hub and Amazon's AWS (Amazon Web Services) IoT. The two platforms were evaluated and selected from a smart building perspective. Each prototype was evaluated on two different IoTplatforms, assuming a typical smart building scenario. The selection was based on information and experience gained from developing the prototype system using the IoT cloud platform. The assessment made in this evaluation may be used to select an IoTcloud platform for smart buildings in the future.

Design and Implementation of Web Service S/W Platform for Remote Monitoring and Control (원격 감시제어를 위한 웹 서비스 S/W 플랫폼 설계 및 구현)

  • Lee, Tae-Hee;Kim, Joo-Man
    • The Journal of the Korea Contents Association
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    • v.7 no.12
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    • pp.245-253
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    • 2007
  • In this paper, we propose an effective web service software platform for remote monitoring and control. We removed the servlet container for better web service performance so as to improve the gSOAP processing which is an essential element of web service implementation. Furthermore, we designed the web service server/client software platform which can be applied to robot or ubiquitous sensor applications. For validation of this study we tested it by manufacturing robot hardware for monitoring control which combined tanks and sensors on a LDS4000 engine board mounted with a PXA270 processor. The practical excellence and the efficiency of the result of this study was validated by the comparison of gSOAP message exchange load between the web service client application and the conventional remote monitoring control technique through a web server.

IoT-enabled Solutions for Tour Photography Services

  • Jeong, Isu;Baek, Seungwoo;An, Eunsol;Kim, Yujin;Choi, Jiwoo;Yun, Jaeseok
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.5
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    • pp.127-135
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    • 2020
  • In this paper, we propose an IoT-enabled solution for tour photography services with small-size investment and resources in the travel and tourism industries, being able to impact on economic, social, and cultural values. An IoT-enabled camera is developed based on an open hardware and software platform complying with oneM2M, which can make traditional embedded systems oneM2M-compliant devices due to a middleware solution called TAS (thing adaptation software). IoT cameras deployed around photo zones in a tour site could be remotely controlled via an IoT gateway with a Web-based application on a smartphone. Users would perform a pan and tilt camera control if they want and then take and download a perfect photo picture (even though they are away from the tour site). We expect that the proposed solution will promote the deployment IoT-enabled technologies in tour and travel industries which are important parts of the tertiary sector.

Embedding Built-in Tests in Hot Spots of an Object-Oriented Framework (객체지향 프레임웍의 Hot Spot에 Built-in Tests를 내장하는 방법)

  • Shin, Dong-Ik;Jeon, Tae-Woong;Lee, Syung-Young
    • Journal of KIISE:Software and Applications
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    • v.29 no.1_2
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    • pp.65-79
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    • 2002
  • Object-oriented frameworks need to be systematically tested because they are reused in developing many applications software. They also need additional testing whenever they are extended for reuse. Frameworks, however, have properties that make it difficult to control and observe the testing of the parts that were modified and extended. In this paper, we describe the method of embedding test components as BIT(Built-In Test) into the framework's hot spots in order to efficiently detect the faults through testing that occurred while implementing application programs by modifying and extending the framework. The test components embedded into a framework make it easy to control and observe testing the framework, and thereby improve the testability of frameworks. Test components designed by the method proposed in this paper can be dynamically attached and detached to/from hot spots of a framework without changes or intervention to the framework code.

The Method of Recovery for Deleted Record in the Unallocated Space of SQLite Database (SQLite 데이터베이스의 비 할당 영역에 잔존하는 삭제된 레코드 복구 기법)

  • Jeon, Sang-Jun;Byun, Keun-Duck;Bang, Je-Wan;Lee, Guen-Gi;Lee, Sang-Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.3
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    • pp.143-154
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    • 2011
  • SQLite is a small sized database engine largely used in embedded devices and local application software. The availability of portable devices, such as smartphones, has been extended over the recent years and has contributed to growing adaptation of SQLite. This implies a high likelihood of digital evidences acquired during forensic investigations to include SQLite database files. Where intentional deletion of sensitive data can be made by a suspect, forensic investigators need to recover deleted records in SQLite at the best possible. This study analyzes data management rules used by SQLite and the structure of deleted data in the system, and in turn suggests a recovery Tool of deleted data. Further, the study examines major SQLite suited software as it validates feasible possibility of deleted data recovery.

Diagnosis of Sarcopenia in the Elderly and Development of Deep Learning Algorithm Exploiting Smart Devices (스마트 디바이스를 활용한 노약자 근감소증 진단과 딥러닝 알고리즘)

  • Yun, Younguk;Sohn, Jung-woo
    • Journal of the Society of Disaster Information
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    • v.18 no.3
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    • pp.433-443
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    • 2022
  • Purpose: In this paper, we propose a study of deep learning algorithms that estimate and predict sarcopenia by exploiting the high penetration rate of smart devices. Method: To utilize deep learning techniques, experimental data were collected by using the inertial sensor embedded in the smart device. We implemented a smart device application for data collection. The data are collected by labeling normal and abnormal gait and five states of running, falling and squat posture. Result: The accuracy was analyzed by comparative analysis of LSTM, CNN, and RNN models, and binary classification accuracy of 99.87% and multiple classification accuracy of 92.30% were obtained using the CNN-LSTM fusion algorithm. Conclusion: A study was conducted using a smart sensoring device, focusing on the fact that gait abnormalities occur for people with sarcopenia. It is expected that this study can contribute to strengthening the safety issues caused by sarcopenia.