• Title/Summary/Keyword: IP2

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A Design of Parameterized Viterbi Decoder for Multi-standard Applications (다중 표준용 파라미터화된 비터비 복호기 IP 설계)

  • Park, Sang-Deok;Jeon, Heung-Woo;Shin, Kyung-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.6
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    • pp.1056-1063
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    • 2008
  • This paper describes an efficient design of a multi-standard Viterbi decoder that supports multiple constraint lengths and code rates. The Viterbi decoder is parameterized for the code rates 1/2, 1/3 and constraint lengths 7,9, thus it has four operation nodes. In order to achieve low hardware complexity and low power, an efficient architecture based on hardware sharing techniques is devised. Also, the optimization of ACCS (Accumulate-Subtract) circuit for the one-point trace-back algorithm reduces its area by about 35% compared to the full parallel ACCS circuit. The parameterized Viterbi decoder core has 79,818 gates and 25,600 bits memory, and the estimated throughput is about 105 Mbps at 70 MHz clock frequency. Also, the simulation results for BER (Bit Error Rate) performance show that the Viterbi decoder has BER of $10^{-4}$ at $E_b/N_o$ of 3.6 dB when it operates with code rate 1/3 and constraints 7.

SACK-SNOOP Protocol for Wireless TCP Performance Improvement (무선 TCP 성능 향상을 위한 SACK-SNOOP 프로토콜)

  • Ahn, Chi-Hyun;Kim, Hyung-Chul;Woo, Jong-Jung;Kim, Jang-Hyung;Lee, Dae-Young;Jun, Kye-Suk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.2
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    • pp.392-401
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    • 2007
  • Wireless network has high BER characteristic because of path loss, fading, noise and interference. Many packet losses occur without any congestion in wireless network. Therefore, many wireless TCP algorithms have been proposed. SNOOP, one of wireless TCP algorithms, hides packet losses for Fixed Host and retransmits lost packets in wireless network. However, SNOOP has a weakness for bust errors in wireless network. This paper proposes the SACK-SNOOP to improve TCP performance based on SNOOP and Freeze-TCP that use ZWA messages in wireless network. This message makes FH stop sending packets to MH. BS could retransmit error packets to MH for this time. SACK-SNOOP use improved Selective ACK, thereby reducing the number of packet sequences according to error environment. This method reduces the processing time for generation, transmission, analysis of ACK. This time gain is enough to retransmit local burst errors in wireless link. Furthermore, SACK-SNOOP can manage the retransmitted error by extending delay time to FH. The simulation shows that our proposed protocol is more effective for packet losses in wireless networks.

A Study on the Consciousness and Behavior regarding Environmental Preservation of High School Students (고등학생의 환경보전에 관한 의식과 행동)

  • 양순례;류점숙;신효식
    • Korean Journal of Human Ecology
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    • v.6 no.2
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    • pp.1-12
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    • 2003
  • This study is designed to analyse the difference between consciousness and behaviors for environmental preservation dependant on independent variables and to identify factors that affect the behaviors of environmental preservation. For this study, a questionnaire that included measurements of environmental preservation consciousness and behaviors was produced as a studying tool. Targets were 520 boy and girl students in the second grade of two high schools in Gwangju and three high schools in small districts of Chonnam Province and 482 questionnaires were distributed for the analysis. The data collected was analysed using SAS Program Package to obtain frequency, percentage, standard deviation, and correlation and T-Test One-way ANOVA, Duncan's M411ip1e Range Test, Multiple Regression were performed. The results of the analyses are as follows : 1. Overall, environmental preservation consciousness is higher than preservation behaviors. Interest in air pollution is the highest in both environmental preservation consciousness and behaviors and it is low in recycling. 2. The environmental preservation consciousness has a significant difference dependant on sex, regions, order of birth, educational background of parents and income level. the performing degree of environmental education, consciousness about kinds of environmental preservation, and whether the learning of theory and practice of environmental education is performed. 3. The environmental preservation behaviors has a significant difference dependant on regions, educational background of mother, mother's job, income level, acquiring of information, performing degree of environmental education and consciousness of kinds of environmental education. 4. Variables that affect environmental preservation behavior are environmental preservation consciousness, acquiring information, performing degree of environmental education and awareness of environmental preservation. Their power of explanation is 15%.

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Selection of Detection Measures for Malicious Codes using Naive Estimator (단순 추정량을 이용한 악성코드의 탐지척도 선정)

  • Mun, Gil-Jong;Kim, Yong-Min
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.2
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    • pp.97-105
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    • 2008
  • The various mutations of the malicious codes are fast generated on the network. Also the behaviors of them become intelligent and the damage becomes larger step by step. In this paper, we suggest the method to select the useful measures for the detection of the codes. The method has the advantage of shortening the detection time by using header data without payloads and uses connection data that are composed of TCP/IP packets, and much information of each connection makes use of the measures. A naive estimator is applied to the probability distribution that are calculated by the histogram estimator to select the specific measures among 80 measures for the useful detection. The useful measures are then selected by using relative entropy. This method solves the problem that is to misclassify the measure values. We present the usefulness of the proposed method through the result of the detection experiment using the detection patterns based on the selected measures.

Control Technique of a Medical Bed for Ulcer Prevention Equipped with Body Pressure Sensors (체압센서를 장착한 욕창예방 의료용 침대의 제어기법)

  • Seon, Minju;Choi, Jie-Young;Lee, Youngdae
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.2
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    • pp.89-95
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    • 2021
  • Pressure sores are an unresolved human challenge. In this study, a keyboard-type medical bed was developed and a body pressure sensor was installed to provide a method to control the keyboard so that the pressure sores do not reach the critical pressure. For this, a keyboard-type mattress using a 4bar link is developed, and a method of controlling the height adjustment of the keyboard within the critical pressure through a body pressure sensor is used. There is a feeling of discomfort in the body when the keyboard is raised and lowered from pressure sores, which is an important factor: pressure x time, and only time control is performed, but if the proposed method is used, pressure is controlled within the critical pressure, thereby preventing bedsores in a comfortable state. The effectiveness and validity of the developed medical bed system were verified through theories and experiments.

Assessment of the Prediction Performance of Ensemble Size-Related in GloSea5 Hindcast Data (기상청 기후예측시스템(GloSea5)의 과거기후장 앙상블 확대에 따른 예측성능 평가)

  • Park, Yeon-Hee;Hyun, Yu-Kyung;Heo, Sol-Ip;Ji, Hee-Sook
    • Atmosphere
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    • v.31 no.5
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    • pp.511-523
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    • 2021
  • This study explores the optimal ensemble size to improve the prediction performance of the Korea Meteorological Administration's operational climate prediction system, global seasonal forecast system version 5 (GloSea5). The GloSea5 produces an ensemble of hindcast data using the stochastic kinetic energy backscattering version2 (SKEB2) and timelagged ensemble. An experiment to increase the hindcast ensemble from 3 to 14 members for four initial dates was performed and the improvement and effect of the prediction performance considering Root Mean Square Error (RMSE), Anomaly Correlation Coefficient (ACC), ensemble spread, and Ratio of Predictable Components (RPC) were evaluated. As the ensemble size increased, the RMSE and ACC prediction performance improved and more significantly in the high variability area. In spread and RPC analysis, the prediction accuracy of the system improved as the ensemble size increased. The closer the initial date, the better the predictive performance. Results show that increasing the ensemble to an appropriate number considering the combination of initial times is efficient.

Inhibitory effects of abietic acid in testosterone-induced benign prostatic hyperplastic rats (송진 유래 abietic acid가 전립선 비대증 모델 rat에 미치는 영향)

  • So-Young, Kim;Yoo-Jin, Kim;Yong-ung, Kim;Mi Ryeo, Kim
    • The Korea Journal of Herbology
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    • v.38 no.2
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    • pp.27-34
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    • 2023
  • Objectives : Currently, the benign prostatic hyperplasia (BPH) is one of the most common urogenital disorder in old men. We were performed to determine the effects of abietic acid (AC), component of pine resin, in benign prostatic hyperplastic Sprague-Dawley rat (SD rat) induced by testosterone injection (IP). Methods : We monitored body weights in SD rat at start and end date of experiment. After end of experiment, the prostate weights were measured in SD rats. Glutamic oxaloacetic transaminase (GOT) and glutamic pyruvic transaminase (GPT) levels was performed in serum. And we determined the 5-alpha reductase Ⅱ activity, testosterone levels, and dihydrotestosterone levels in prostate tissue and serum using ELISA kit. Results : As results, the prostate wights were increased in BPH group compared to normal group and were decreased in fina, AC30, and AC 50 groups, respectively. Serum GOT levels were decreased in AC50 group compared to BPH group. And Serum GPT levels of AC30 and AC50 groups were lower than BPH group. In addition, the 5-alpha reductase Ⅱ activity, testosterone levels, and dihydrotestosterone levels were decreased the fina, AC10, AC30, and AC 50 groups contrast to the BPH group. Furthermore, 5-alpha reductase Ⅱ activity, testosterone levels, and dihydrotestosterone levels were decreased dose dependent in AC groups compared to BPH group. Conclusion : These results suggest that AC could be used as a potential material for the treatment of BPH by decreasing the androgen levels in benign prostatic hyperplasia model rats.

Design and Implementation of Educational Embedded Network System (교육용 임베디드 네트워크 실습 장비의 설계 및 구현)

  • Kim, Dae-Hee;Chung, Joong-Soo;Park, Hee-Jung;Jung, Kwang-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.23-29
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    • 2009
  • This paper presents the development of embedded network educational system. This is an educational equipment which enables user to have training over Network Configuration and Embedded network programming practice on Internet environment. The network education system is developed on embedded environment. based on using ethernet interface. On the development environment. PAX255 VLSI chip is used for the processor, the ADSv1.2 for debugging, uC/OS276 for RTOS. The system software was developed using C language. The ping program provided an educational environment for the student to compile and load it to run after doing practice of demonstration behavior. Afterwards programming procedure starts the step-by-step training just like the demonstration function. In other words, programming method how to design the procedure of ARP operation and ICMP operation is explained.

Robinetin Alleviates Metabolic Failure in Liver through Suppression of p300-CD38 Axis

  • Ji-Hye Song;Hyo-Jin Kim;Jangho Lee;Seung-Pyo Hong;Min-Yu Chung;Yu-Geun Lee;Jae Ho Park;Hyo-Kyoung Choi;Jin-Taek Hwang
    • Biomolecules & Therapeutics
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    • v.32 no.2
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    • pp.214-223
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    • 2024
  • Metabolic abnormalities in the liver are closely associated with diverse metabolic diseases such as non-alcoholic fatty liver disease, type 2 diabetes, and obesity. The aim of this study was to evaluate the ameliorating effect of robinetin (RBN) on the significant pathogenic features of metabolic failure in the liver and to identify the underlying molecular mechanism. RBN significantly decreased triglyceride (TG) accumulation by downregulating lipogenesis-related transcription factors in AML-12 murine hepatocyte cell line. In addition, mice fed with Western diet (WD) containing 0.025% or 0.05% RBN showed reduced liver mass and lipid droplet size, as well as improved plasma insulin levels and homeostatic model assessment of insulin resistance (HOMA-IR) values. CD38 was identified as a target of RBN using the BioAssay database, and its expression was increased in OPA-treated AML-12 cells and liver tissues of WD-fed mice. Furthermore, RBN elicited these effects through its anti-histone acetyltransferase (HAT) activity. Computational simulation revealed that RBN can dock into the HAT domain pocket of p300, a histone acetyltransferase, which leads to the abrogation of its catalytic activity. Additionally, knock-down of p300 using siRNA reduced CD38 expression. The chromatin immunoprecipitation (ChIP) assay showed that p300 occupancy on the promoter region of CD38 was significantly decreased, and H3K9 acetylation levels were diminished in lipid-accumulated AML-12 cells treated with RBN. RBN improves the pathogenic features of metabolic failure by suppressing the p300-CD38 axis through its anti-HAT activity, which suggests that RBN can be used as a new phytoceutical candidate for preventing or improving this condition.

Analysis of Ammunition Inspection Record Data and Development of Ammunition Condition Code Classification Model (탄약검사기록 데이터 분석 및 탄약상태기호 분류 모델 개발)

  • Young-Jin Jung;Ji-Soo Hong;Sol-Ip Kim;Sung-Woo Kang
    • Journal of the Korea Safety Management & Science
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    • v.26 no.2
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    • pp.23-31
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    • 2024
  • In the military, ammunition and explosives stored and managed can cause serious damage if mishandled, thus securing safety through the utilization of ammunition reliability data is necessary. In this study, exploratory data analysis of ammunition inspection records data is conducted to extract reliability information of stored ammunition and to predict the ammunition condition code, which represents the lifespan information of the ammunition. This study consists of three stages: ammunition inspection record data collection and preprocessing, exploratory data analysis, and classification of ammunition condition codes. For the classification of ammunition condition codes, five models based on boosting algorithms are employed (AdaBoost, GBM, XGBoost, LightGBM, CatBoost). The most superior model is selected based on the performance metrics of the model, including Accuracy, Precision, Recall, and F1-score. The ammunition in this study was primarily produced from the 1980s to the 1990s, with a trend of increased inspection volume in the early stages of production and around 30 years after production. Pre-issue inspections (PII) were predominantly conducted, and there was a tendency for the grade of ammunition condition codes to decrease as the storage period increased. The classification of ammunition condition codes showed that the CatBoost model exhibited the most superior performance, with an Accuracy of 93% and an F1-score of 93%. This study emphasizes the safety and reliability of ammunition and proposes a model for classifying ammunition condition codes by analyzing ammunition inspection record data. This model can serve as a tool to assist ammunition inspectors and is expected to enhance not only the safety of ammunition but also the efficiency of ammunition storage management.