• Title/Summary/Keyword: Data Transmission Processing

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A Study about Construction of WiFi Network for Efficient Data Transmission and Sensor Data Analysis in Wastewater Treatment Plant (하.폐수 처리 시설의 센서 데이터 분석 및 효율적인 데이터 전달을 위한 WiFi 망 구축에 관한 연구)

  • Kang, Yong-Sik;Jung, Soon-Ho;Kim, Jin-Tae;Shin, Jae-Kwon;Yang, Seung-Youn;Chung, Jae-Hak;Lee, Seung-Youn;Choi, Young-Kwan;Cha, Jae-Sang
    • Journal of Satellite, Information and Communications
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    • v.7 no.1
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    • pp.27-32
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    • 2012
  • In this paper, the wastewater treatment plant sludge proposed TN/TP sensor data collected an efficient monitoring system in order to implement status monitoring to build WiFi networks. Also we sludge concentration and TN/TP sensor data were collected from wastewater treatment plant. It is able to be monitored sensor data through smart devices(Smart phones, smart pad, tablet PC, etc.) and pc. In addition, when certain events occur immediately be able to cope by adding features to enable efficient and rapid processing, real-time status can be checked by ensuring improved user access and convenience. We has built a WiFi network for to transfer data efficiently. It proved its effectiveness by analysis of sensor communication network. Therefore, we have verified the usefulness of the proposed technology.

Comparison and analysis of compression algorithms to improve transmission efficiency of manufacturing data (제조 현장 데이터 전송효율 향상을 위한 압축 알고리즘 비교 및 분석)

  • Lee, Min Jeong;Oh, Sung Bhin;Kim, Jin Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.1
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    • pp.94-103
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    • 2022
  • As a large amount of data generated by sensors or devices at the manufacturing site is transmitted to the server or client, problems arise in network processing time delay and storage resource cost increase. To solve this problem, considering the manufacturing site, where real-time responsiveness and non-disruptive processes are essential, QRC (Quotient Remainder Compression) and BL_beta compression algorithms that enable real-time and lossless compression were applied to actual manufacturing site sensor data for the first time. As a result of the experiment, BL_beta had a higher compression rate than QRC. As a result of experimenting with the same data by slightly adjusting the data size of QRC, the compression rate of the QRC algorithm with the adjusted data size was 35.48% and 20.3% higher than the existing QRC and BL_beta compression algorithms.

A mechanism for end-to-end secure communication in heterogeneous tactical networks (이기종 전술통신망 종단간 암호화 통신을 위한 메커니즘)

  • Park, Cheol-Yong;Kim, Ki-Hong;Ryou, Jae-Cheol
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.4
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    • pp.625-634
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    • 2014
  • Tactical networks is being operated in configuration that consisting of a variety of characteristics communication equipments and heterogeneous networks. In this configurations, end-to-end communication can be achieved using interworking gateway for converting the data format of the network and using encryption algorithm of the networks. The use of mechanism results in a problem that secure data cannot be transferred directly, reprocessing and processing delay of communication in heterogeneous tactical networks. That is, for encoding and decoding of data, the decryption of encrypted data and re-encryption processing must be required at the gateway between different networks. In this paper proposes to mechanism for end-to-end secure communication in heterogeneous tactical networks. Using the proposed method, end-to-end secure communication between heterogeneous tactical networks(PSTN-UHF networks) which removes the necessity of a gateway for converting data into data formats suitable for network to remove a transmission delay factor and enable real-time voice and data communication and achieve end-to-end security for heterogeneous tactical networks. we propose a novel mechanism for end-to-end secure communication over PSTN and UHF networks and evaluate against the performance of conventional mechanism. Our proposal is confirmed removal of security vulnerabilities, end-to-end secure communication in heterogeneous tactical networks.

Cache Management Method for Query Forwarding Optimization in the Grid Database (그리드 데이터베이스에서 질의 전달 최적화를 위한 캐쉬 관리 기법)

  • Shin, Soong-Sun;Jang, Yong-Il;Lee, Soon-Jo;Bae, Hae-Young
    • Journal of Korea Multimedia Society
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    • v.10 no.1
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    • pp.13-25
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    • 2007
  • A cache is used for optimization of query forwarding in the Grid database. To decrease network transmission cost, frequently used data is cached from meta database. Existing cache management method has a unbalanced resource problem, because it doesn't manage replicated data in each node. Also, it increases network cost by cache misses. In the case of data modification, if cache is not updated, queries can be transferred to wrong nodes and it can be occurred others nodes which have same cache. Therefore, it is necessary to solve the problems of existing method that are using unbalanced resource of replica and increasing network cost by cache misses. In this paper, cache management method for query forwarding optimization is proposed. The proposed method manages caches through cache manager. To optimize query forwarding, the cache manager makes caching data from lower loaded replicated node. The query processing cost and the network cost will decrease for the reducing of wrong query forwarding. The performance evaluation shows that proposed method performs better than the existing method.

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4-Level Balanced Modulation Code for the Mitigation of Two-Dimensional Intersymbol Interference in Holographic Data-Storage Systems (홀로그래픽 데이터 저장장치에서 2차원 심볼 간 간섭을 완화하기 위한 4-레벨 균형 변조부호)

  • Park, Keunhwan;Lee, Jaejin
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.9
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    • pp.12-17
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    • 2016
  • In the holographic data storage system (HDSS), the data regarding the volume of a storage medium are recorded and read by the page, and the transmission rate and storage capacity can be increased because of two-dimensional, page-oriented data processing; furthermore, the multi-level HDSS can store more than one bit per pixel. For this same reason, however, and unlike conventional data-storage systems, the HDSS is hampered by two-dimensional (2D) intersymbol interference (ISI) and interpage interference (IPI). Progress regarding the published papers on 2D ISI, which is more severe in the multi-level HDSS, continues; however, mitigation of both 2D ISI and IPI in terms of the multi-level HDSS has not yet been studied. In this paper, we therefore propose a 4-level balanced-modulation code that simultaneously mitigates 2D ISI and IPI.

The Implementation of the Solar Inverter Monitoring System using an AJAX (AJAX를 이용한 태양광 인버터의 모니터링 시스템 구현)

  • Kwon, Hyo-Sang;Yang, Oh
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.9
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    • pp.1915-1922
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    • 2012
  • In this paper, the Solar Inverter will be monitored by using the AJAX(Asynchronous JavaScript and XML). AJAX is the one of the technologies that can make the RIA(Rich Internet Application) with DHTML(Dynamic Hyper Text Makeup Language) and other java script technology. By using this, a strong application program that is comparable to the general application program can be made. With an existing data-processing technique, the request and response of data can't be processed dynamically on the same page. However, real-time monitoring of data and operation statuses can be confirmed by using the AJAX an asynchronous method of communication. Also without changing the page, the amount of data transmission used the AJAX with significantly small amounts of data to build a Solar Inverter monitoring system that is able to efficiently handle management and monitoring, operating all functions within one page.

Communication Models and Performance Evaluation for the Delivery of Data and Policy in a Hybrid-Type Intrusion Detection System (혼합형 침입 탐지 시스템에서 데이터 및 정책 전달 통신 모델과 성능 평가)

  • Jang, Jung-Sook;Jeon, Yong-Hee;Jang, Jong-Soo;Sohn, Seung-Won
    • The KIPS Transactions:PartC
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    • v.10C no.6
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    • pp.727-738
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    • 2003
  • Much research efforts are being exerted for the study of intrusion detection system(IDS). However little work has been for the communication medels and performance eveluation of the IDS. Here we present a communication framework for doing hybrid intrusion detection in which agents are used for local intrusion detections with a centralized data anaysis componenta for a global intrusion detection at multiple domains environment. We also assume the combination of host-based and network-based intrusion detection systems in the oberall framework. From the local domain, a set of information such as alert, and / or log data are reported to the upper level. At the root of the hierarchy, there is a global manager where data coalescing is performed. The global manager delivers a security policy to its lower levels as the result of aggregation and correlation of intrusion detection alerts. In this paper, we model the communication mechanisms for the hybrid IDS and develop a simular using OPNET modeller for the performance evaluation of transmission capabillities for the delivery of data and policy. We present and compare simulation results based on several scenarios focuding on communication delay.

A Study on the Efficient Load Balancing Method Considering Real-time Data Entry form in SDN Environment (SDN 환경에서 실시간 데이터 유입형태를 고려한 효율적인 부하분산 기법 연구)

  • Ju-Seong Kim;Tae-Wook Kwon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1081-1086
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    • 2023
  • The rapid growth and increasing complexity of modern networks have highlighted the limitations of traditional network architectures. The emergence of SDN (Software-Defined Network) in response to these challenges has changed the existing network environment. The SDN separates the control unit and the data unit, and adjusts the network operation using a centralized controller. However, this structure has also recently caused a huge amount of traffic due to the rapid spread of numerous Internet of Things (IoT) devices, which has not only slowed the transmission speed of the network but also made it difficult to ensure quality of service (QoS). Therefore, this paper proposes a method of load distribution by switching the IP and any server (processor) from the existing data processing scheduling technique, RR (Round-Robin), to mapping when a large amount of data flows in from a specific IP, that is, server overload and data loss.

Comparative Analysis of CNN Deep Learning Model Performance Based on Quantification Application for High-Speed Marine Object Classification (고속 해상 객체 분류를 위한 양자화 적용 기반 CNN 딥러닝 모델 성능 비교 분석)

  • Lee, Seong-Ju;Lee, Hyo-Chan;Song, Hyun-Hak;Jeon, Ho-Seok;Im, Tae-ho
    • Journal of Internet Computing and Services
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    • v.22 no.2
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    • pp.59-68
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    • 2021
  • As artificial intelligence(AI) technologies, which have made rapid growth recently, began to be applied to the marine environment such as ships, there have been active researches on the application of CNN-based models specialized for digital videos. In E-Navigation service, which is combined with various technologies to detect floating objects of clash risk to reduce human errors and prevent fires inside ships, real-time processing is of huge importance. More functions added, however, mean a need for high-performance processes, which raises prices and poses a cost burden on shipowners. This study thus set out to propose a method capable of processing information at a high rate while maintaining the accuracy by applying Quantization techniques of a deep learning model. First, videos were pre-processed fit for the detection of floating matters in the sea to ensure the efficient transmission of video data to the deep learning entry. Secondly, the quantization technique, one of lightweight techniques for a deep learning model, was applied to reduce the usage rate of memory and increase the processing speed. Finally, the proposed deep learning model to which video pre-processing and quantization were applied was applied to various embedded boards to measure its accuracy and processing speed and test its performance. The proposed method was able to reduce the usage of memory capacity four times and improve the processing speed about four to five times while maintaining the old accuracy of recognition.

Implementation of FFT on Massively Parallel GPU for DVB-T Receiver (DVB-T 수신기를 위한 대규모 병렬처리 GPU 기반의 FFT 구현)

  • Lee, Kyu Hyung;Heo, Seo Weon
    • Journal of Broadcast Engineering
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    • v.18 no.2
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    • pp.204-214
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    • 2013
  • Recently various research have been conducted relating to the implementation of signal processing or communication system by software using the massively parallel processing capability of the GPU. In this work, we focus on reducing software simulation time of 2K/8K FFT in DVB-T by using GPU. we estimate the processing time of the DVB-T system, which is one of the standards for DTV transmission, by CPU. Then we implement the FFT processing by the software using the NVIDIA's massively parallel GPU processor. In this paper we apply stream process method to reduce the overhead for data transfer between CPU and GPU, coalescing method to reduce the global memory access time and data structure design method to maximize the shared memory usage. The results show that our proposed method is approximately 20~30 times as fast as the CPU based FFT processor, and approximately 1.8 times as fast as the CUFFT library (version 2.1) which is provided by the NVIDIA when applied to the DVB-T 2K/8K mode FFT.