• Journal of the Institute of Electronics Engineers of Korea SD
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• v.39 no.12
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• pp.1033-1044
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• 2002

In this Paper, a new FRAM design technique utilizing grounded-plate PMOS-gate (GPPG) ferroelectric cell is proposed. A GPPG cell consists of a PMOS access transistor and a ferroelectric data storage capacitor. Its plate is grounded. The proposed architecture employs three novel methods for cell operation: 1) $V_{DD}$ -precharged bitline, 2) negative-voltage wordline technique and 3) negative-pulse restore. Because this configuration doesn't need the plate control circuitry, it can greatly increase the memory cell efficiency. In addition, differently from other reported common-plate cells, this scheme can supply a sufficient voltage of $V_{DD}$ to the ferroelectric capacitor during detecting and storing the polarization on the cell. Thus, there is no restriction on low voltage operation. Furthermore, by employing a compact column-path circuitry which activates only needed 8-bit data, this architecture can minimize the current consumption of the memory array. A 4- Mb FRAM circuit has been designed with 0.3-um, triple-well/1-polycide/2-metal technology, and the possibility of the realization of GPPG cell architecture has been confirmed.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.3
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• pp.305-312
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• 2012

This paper aims at improving the accuracy and computational efficiency in reconstructing building boundaries from airborne Lidar points. We proposed an adaptive convex hull algorithm, which is a modified version of local convex hull algorithm in three ways. The candidate points for boundary are first selected to improve efficiency depending on their local density. Second, a searching-space is adjusted adaptively, based on raw data structure, to extract boundary points more robustly. Third, distance between two points and their IDs are utilized in detecting the seed points of inner boundary to distinguish between inner yards and inner holes due to errors or occlusions. The practicability of the approach were evaluated on two urban areas where various buildings exist. The proposed method showed less shape-dissimilarity(8.5%) and proved to be two times more efficient than the other method.

• Journal of the Korea institute for structural maintenance and inspection
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• v.18 no.1
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• pp.160-165
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• 2014

In this study, an efficiency test was performed by fabricating MEMS (Micro Electro Mechanical Systems) based 3-axis acceleration sensor modules and an earthquake monitoring system was composed. Data acquisition device (NI-9239) with a 24bit ADC (Analog to Digital Converter) was used for improving the performance of 3-axis acceleration sensor modules and filtered data (100Hz Low Pass Filter) was used for reducing noises. Also this paper focused on detecting meaningful vibration in the building by developing the earthquake monitoring software. If vector sum of 3-axis acceleration is greater than the preset value, the value will be recorded and saved to the file.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.6A
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• pp.600-607
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• 2007

In this paper, we propose a MLKA (Multi-Level Keep-Alive) algorithm based on PRCG (Periodic In this paper, we propose a MLKA (Multi-Level Keep-Alive) algorithm based on PRCG (Periodic Ranging Code Group), in which periodic ranging codes are divided into groups. The AP (Access Point) performs this algorithm when a periodic ranging code arrives at the AP in a WiBro (Wireless Broadband Internet) system. In order to increase the traffic radio bandwidth resource efficiency in this system, we propose the multi-level keep-alive algorithm for finding abnormal AT (Access Terminal). From simulation results, it is verified our proposed MLKA algorithm based on PRCG can provide higher traffic radio resource efficiency compared to message-driven keep-alive algorithms.

• Korean Journal of Veterinary Research
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• v.10 no.1
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• pp.25-31
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• 1970

The techniques which have been used for the fecal examination of ruminant infected with the pancreatic flukes, Eurytrema Pancreaticum, were reviewer in their efficiency to detect the ova. One of modified fecal examination: H.F.E. (hydrochloric acid-formalin-ether) sedimentation method was devised in this study. Efficiency in the detecting ability of the fluke eggs with H.F.E. sedimentation method was determined by a series of repeat tests. Among 20 head of cattle known to harbor 1-5 adult worms of the pancreatic fluke, 75% of the infected cattle were detected, and among 60 head of cattle known to harbor more than 6 adult worms, 95% of the infected cattle were detected with H.F.E. sedimentation method. The procedures of the H.F.E. sedimentation method are as follows; 1) Take the sample 5-10 gm., emulsify throughly with 20 ml. of 50% hydrochloric acid in a cup. 2) Strain this mixture through one or two layers of wet surgical gauze into 15ml. centrifuge tube. 3) Washing the cup with 5ml. of 50% hydrochloric acid and strain again. 4) Centrifuge at 2,300 rpm. for 2 minutes. 5) Pour off the supernatant fluid. 6) After the sediment mixed with 10% formalin, stand for 5 minutes. 7) Add 2-3ml. of ether, shake vigorously up and down, after the top of the tube covered with thumb. 8) Centrifuge at 2,300 rpm. for 2 minutes. 9) Loosen the fecal plug in the tube by ringing with an applicator stick. 10) Quickly, but carefully, pour of all, but the bottom layer of sediment. 11) Thoroughly mix the sediment, pour on a slide (or pick up it with a pipett), mount with a cover glass. 12) Examine carefully.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.15-23
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• 2022

The operation method of offline venues such as local festivals usually has problems such as the absence of real-time events and booth information, wasting time in the process of purchasing and receiving goods, and stagnating the movement of guests. This study increases the convenience of guests and managers by integrating all contents in the venue in the form of booth, thereby increasing the uniformity of event information and the efficiency of booth operation. In addition, a system was designed to minimize movement problems and improve performance by detecting the movement of guests within the venue and increasing the efficiency of arranging booths based on location data. It has been developed as a low-cost system that measures wireless packets with portable wireless LAN APs and control units. This has advantages in the operation of the venue, which consists of the installation and dismantling of variable booths in a short period of time. It is expected that the integrated operation of the venue will be utilized by linking the movement data of guests to activate visits and increase sales through data-based promotions.

• Korean Journal of Materials Research
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• v.32 no.11
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• pp.508-514
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• 2022

Piezoelectric composite films which are enabled by inorganic piezoelectric nanomaterials-embedded polymer, have attracted enormous attention as a sustainable power source for low powered electronics, because of their ease of fabrication and flexible nature. However, the absorption of applied stress by the soft polymeric matrices is a major issue that must be solved to expand the fields of piezoelectric composite applications. Herein, a flexible and porous piezoelectric composite (piezoelectric sponge) comprised of BaTiO₃ nanoparticles and polydimethylsiloxane was developed using template method to enhance the energy conversion efficiency by minimizing the stress that vanishes into the polymer matrix. In the porous structure, effective stress transfer can occur between the piezoelectric active materials in compression mode due to direct contact between the ceramic particles embedded in the pore-polymer interface. The piezoelectric sponge with 30 wt% of BaTiO₃ particles generated an open-circuit voltage of ~12 V and a short-circuit current of ~150 nA. A finite element method-based simulation was conducted to theoretically back up that the piezoelectric output performance was effectively improved by introducing the sponge structure. Furthermore, to demonstrate the feasibility of pressure detecting applications using the BaTiO₃ particles-embedded piezoelectric sponge, the composite was arranged in a 3 × 3 array and integrated into a single pressure sensor. The fabricated sensor array successfully detected the shape of the applied pressure. This work can provide a cost-effective, biocompatible, and structural strategy for realizing piezoelectric composite-based energy harvesters and self-powered sensors with improved energy conversion efficiency.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.339-349
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• 2017

This paper proposes a four-stage algorithm for detecting lanes on a driving car. In the first stage, it extracts region of interests in an image. In the second stage, it employs a median filter to remove noise. In the third stage, a binary algorithm is used to classify two classes of backgrond and foreground of an input image. Finally, an image erosion algorithm is utilized to obtain clear lanes by removing noises and edges remained after the binary process. However, the proposed lane detection algorithm requires high computational time. To address this issue, this paper presents a parallel implementation of a real-time line detection algorithm on a multi-core architecture. In addition, we implement and simulate 8 different processing element (PE) architectures to select an optimal PE architecture for the target application. Experimental results indicate that 40×40 PE architecture show the best performance, energy efficiency and area efficiency.

• Transactions on Semiconductor Engineering
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• v.2 no.1
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• pp.17-20
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• 2024

This paper presents a novel lightweight object detection model tailored for low-powered edge devices, addressing the limitations of traditional resource-intensive computer vision models. Our proposed detector, inspired by the Single Shot Detector (SSD), employs a compact yet robust network design. Crucially, it integrates an 'enhancer block' that significantly boosts its efficiency in detecting smaller objects. The model comprises two primary components: the Light_Block for efficient feature extraction using Depth-wise and Pointwise Convolution layers, and the Enhancer_Block for enhanced detection of tiny objects. Trained from scratch on the Udacity Annotated Dataset with image dimensions of 300x480, our model eschews the need for pre-trained classification weights. Weighing only 5.5MB with approximately 0.43M parameters, our detector achieved a mean average precision (mAP) of 27.7% and processed at 140 FPS, outperforming conventional models in both precision and efficiency. This research underscores the potential of lightweight designs in advancing object detection for edge devices without compromising accuracy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.10
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• pp.2984-3009
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• 2024

With the integration of the manufacturing process in the Internet, cybersecurity becomes even more important in the process of factory operations. Because of the complexity of data traffic in the manufacturing industry, the identification and classification of anomalous behavior is an important direction of current research. System calls are made at the operating system level. Therefore, the use of system call sequences can detect potential threats much earlier. So, this paper chooses system call information as the research object. System call orderliness is an ideal property for analysis of using hidden Markov model. In terms of methodology, the SVH2M model improves the performance and efficiency of attack detection in manufacturing systems. The SVH2M model combines pSVM with mHMM. The pSVM and mHMM models use SVMPSA and PATA. pSVM is first used to initially categorize the system call sequences into normal and abnormal categories. The classification of pSVM can reduce the amount of data. This reduces the error rate of mHMM processing. Next, mHMM is built for different types of known anomalies. The SVH2M model in the false positive rate is lower than that of hidden Markov model. The experimental results show that the AUC of the improved model is increased by 17%. The average Mismatch Rate is reduced by 16%. The performance and efficiency of detecting anomalous information are improved in manufacturing systems.