• Title/Summary/Keyword: performance of work

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Multi-query Indexing Technique for Efficient Query Processing on Stream Data in Sensor Networks (센서 네트워크에서 스트림 데이터 질의의 효율적인 처리를 위한 다중 질의 색인 기법)

  • Lee, Min-Soo;Kim, Yearn-Jeong;Yoon, Hye-Jung
    • Journal of Korea Multimedia Society
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    • v.10 no.11
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    • pp.1367-1383
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    • 2007
  • A sensor network consists of a network of sensors that can perform computation and also communicate with each other through wireless communication. Some important characteristics of sensor networks are that the network should be self administered and the power efficiency should be greatly considered due to the fact that it uses battery power. In sensor networks, when large amounts of various stream data is produced and multiple queries need to be processed simultaneously, the power efficiency should be maximized. This work proposes a technique to create an index on multiple monitoring queries so that the multi-query processing performance could be increased and the memory and power could be efficiently used. The proposed SMILE tree modifies and combines the ideas of spatial indexing techniques such as k-d trees and R+-trees. The k-d tree can divide the dimensions at each level, while the R+-tree improves the R-tree by dividing the space into a hierarchical manner and reduces the overlapping areas. By applying the SMILE tree on multiple queries and using it on stream data in sensor networks, the response time for finding an indexed query takes in some cases 50% of the time taken for a linear search to find the query.

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Study on Guidelines for Selecting Traditional Games in Relation to Multiple Intelligence Development (다중지능발달을 위한 민속놀이 선정기준 연구)

  • Kim, Eun Kyung;Kwon, Dae Won
    • Korean Journal of Childcare and Education
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    • v.10 no.5
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    • pp.229-248
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    • 2014
  • The purpose of this study is to draw guidelines on how to select traditional games that would efficiently help and develop multiple intelligences in children. Guidelines standard of section inquiries were prepared through a Delphi survey targeting twenty experts in early childhood education and traditional games. As a result, linguistic intelligence questions regarding writing, listening, speaking and vocabulary acquisition were selected. logical-mathematical intelligence questions regarding strategy, counting, patterns, hypothesis, verification, and comparing, contrasting, calculating ability were selected. Spatial intelligence questions regarding drawing, coloring, representation activities, operating and creating were selected, physical performance intelligence questions regarding global muscles, eye-hand coordination, flexibility, accommodation force, balance, agility and muscular strength were selected. Musical intelligence included questions about singing, and playing musical instruments. Interpersonal intelligence included perspective-taking, role-sharing, cooperation and discussion. For intrapersonal intelligence questions regarding personal significance-ties, planning-decision making, emotional expression and problem solving were selected. Finally, in relation to naturalist intelligence, questions regarding living organisms, inanimate objects and seasons were selected. In addition, traditional games were analyzed based on the finalized guidelines, and the results showed that each of the traditional games would not only work with one intelligence at a time but with other different intelligence as well. In the light of that, the study confirmed the validity of the guidelines on how to select traditional games that would develop multiple intelligences in children.

Optimal Design of Network-on-Chip Communication Sturcture (Network-on-Chip에서의 최적 통신구조 설계)

  • Yoon, Joo-Hyeong;Hwang, Young-Si;Chung, Ki-Seok
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.44 no.8
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    • pp.80-88
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    • 2007
  • High adaptability and scalability are two critical issues in implementing a very complex system in a single chip. To obtain high adaptability and scalability, novel system design methodology known as communication-based system design has gained large attention from SoC designers. NoC (Network-on-Chip) is such an on-chip communication-based design approach for the next generation SoC design. To provide high adaptability and scalability, NoCs employ network interfaces and routers as their main communication structures and transmit and receive packetized data over such structures. However, data packetization, and routing overhead in terms of run time and area may cost too much compared with conventional SoC communication structure. Therefore, in this research, we propose a novel methodology which automatically generates a hybrid communication structure. In this work, we map traditional pin-to-pin wiring structure for frequent and timing critical communication, and map flexible and scalable structure for infrequent, or highly variable communication patterns. Even though, we simplify the communication structure significantly through our algorithm the connectivity or the scalability of the communication modules are almost maintained as the original NoC design. Using this method, we could improve the timing performance by 49.19%, and the area taken by the communication structure has been reduced by 24.03%.

A new approach to enhancement of ground penetrating radar target signals by pulse compression (파형압축 기법에 의한 GPR탐사 반사신호 분해능 향상을 위한 새로운 접근)

  • Gaballah, Mahmoud;Sato, Motoyuki
    • Geophysics and Geophysical Exploration
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    • v.12 no.1
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    • pp.77-84
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    • 2009
  • Ground penetrating radar (GPR) is an effective tool for detecting shallow subsurface targets. In many GPR applications, these targets are veiled by the strong waves reflected from the ground surface, so that we need to apply a signal processing technique to separate the target signal from such strong signals. A pulse-compression technique is used in this research to compress the signal width so that it can be separated out from the strong contaminated clutter signals. This work introduces a filter algorithm to carry out pulse compression for GPR data, using a Wiener filtering technique. The filter is applied to synthetic and field GPR data acquired over a buried pipe. The discrimination method uses both the reflected signal from the target and the strong ground surface reflection as a reference signal for pulse compression. For a pulse-compression filter, reference signal selection is an important issue, because as the signal width is compressed the noise level will blow up, especially if the signal-to-noise ratio of the reference signal is low. Analysis of the results obtained from simulated and field GPR data indicates a significant improvement in the GPR image, good discrimination between the target reflection and the ground surface reflection, and better performance with reliable separation between them. However, at the same time the noise level slightly increases in field data, due to the wide bandwidth of the reference signal, which includes the higher-frequency components of noise. Using the ground-surface reflection as a reference signal we found that the pulse width could be compressed and the subsurface target reflection could be enhanced.

Catalytic Performance for the Production of CH4-rich Synthetic Natural Gas (SNG) on the Commercial Catalyst; Influence of Operating Conditions (고농도 메탄의 합성천연가스 생산을 위한 상업용 촉매의 반응특성; 운전조건에 대한 영향)

  • Kim, Jin-Ho;Ryu, Jae-Hong;Kang, Suk-Hwan;Yoo, Young-Don;Kim, Jun-Woo;Go, Dong-Jun;Jung, Moon;Lee, Jong-Min
    • Clean Technology
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    • v.24 no.2
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    • pp.99-104
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    • 2018
  • In this work, we performed the methanation reaction using synthesis gas ($H_2/CO_2$) for the process to produce synthetic natural gas (SNG) for $4^{th}$ methanation reactor in SNG process proposed by RIST-IAE. Experimental conditions were changed with temperature, pressure and space velocity. At this time, $CO_2$ conversion, $CH_4$ selectivity and $H_2$ concentration after reaction were investigated. As a result, $CH_4$ selectivity by the $CO_2$ methanation increased with lower space velocity and higher pressure. On the other hand, in the case of temperature, the maximum value was shown at $320^{\circ}C$. From these results, it was found that the optimum condition of the fourth reactor suitable for the SNG process was obtained.

Internal Growth Type Character and Popular Sympathy of Heroic Narrative (영웅서사의 내적 성장형 캐릭터와 대중적 공감형성 - 마블과 DC의 시네마틱 유니버스를 기반으로 -)

  • Jeon, Yeongdon
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.364-377
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    • 2020
  • Although it is never easy to create charming characters that people can relate to, well-formed characters have the power to enable the audience to not only empathize but identify with them. Thus, there is a need for us to examine the parts that make up a well-formed character. According to empathy theory, when the character in the play has a human face that is not different from me, I can feel familiarity and human empathy. Rather than perfection without loopholes, I relate to and sympathize with someone who looks similar to me, with many mistakes and some lack. This study aims to examine the attractiveness of characters in narrative dramas in terms of defects and internal growth. To do this, we tried to compare the setting, evaluation, and performance of characters based on the movie worldviews of two famous brands (DC and Marble), which can be compared directly. I looked at it. In conclusion, the work of hero character but human character setting based on internal growth not only has high evaluation and public evaluation, but also high sales, and thus direct and indirect correlation with the public favorability is significant.

The Design of 10-bit 200MS/s CMOS Parallel Pipeline A/D Converter (10-비트 200MS/s CMOS 병렬 파이프라인 아날로그/디지털 변환기의 설계)

  • Chung, Kang-Min
    • The KIPS Transactions:PartA
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    • v.11A no.2
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    • pp.195-202
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    • 2004
  • This paper introduces the design or parallel Pipeline high-speed analog-to-digital converter(ADC) for the high-resolution video applications which require very precise sampling. The overall architecture of the ADC consists of 4-channel parallel time-interleaved 10-bit pipeline ADC structure a]lowing 200MSample/s sampling speed which corresponds to 4-times improvement in sampling speed per channel. Key building blocks are composed of the front-end sample-and-hold amplifier(SHA), the dynamic comparator and the 2-stage full differential operational amplifier. The 1-bit DAC, comparator and gain-2 amplifier are used internally in each stage and they were integrated into single switched capacitor architecture allowing high speed operation as well as low power consumption. In this work, the gain of operational amplifier was enhanced significantly using negative resistance element. In the ADC, a delay line Is designed for each stage using D-flip flops to align the bit signals and minimize the timing error in the conversion. The converter has the power dissipation of 280㎽ at 3.3V power supply. Measured performance includes DNL and INL of +0.7/-0.6LSB, +0.9/-0.3LSB.

The Use of Reinforcement Learning and The Reference Page Selection Method to improve Web Spidering Performance (웹 탐색 성능 향상을 위한 강화학습 이용과 기준 페이지 선택 기법)

  • 이기철;이선애
    • Journal of the Korea Computer Industry Society
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    • v.3 no.3
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    • pp.331-340
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    • 2002
  • The web world is getting so huge and untractable that without an intelligent information extractor we would get more and more helpless. Conventional web spidering techniques for general purpose search engine may be too slow for the specific search engines, which concentrate only on specific areas or keywords. In this paper a new model for improving web spidering capabilities is suggested and experimented. How to select adequate reference web pages from the initial web Page set relevant to a given specific area (or keywords) can be very important to reduce the spidering speed. Our reference web page selection method DOPS dynamically and orthogonally selects web pages, and it can also decide the appropriate number of reference pages, using a newly defined measure. Even for a very specific area, this method worked comparably well almost at the level of experts. If we consider that experts cannot work on a huge initial page set, and they still have difficulty in deciding the optimal number of the reference web pages, this method seems to be very promising. We also applied reinforcement learning to web environment, and DOPS-based reinforcement learning experiments shows that our method works quite favorably in terms of both the number of hyper links and time.

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Evaluation of Human Demonstration Augmented Deep Reinforcement Learning Policies via Object Manipulation with an Anthropomorphic Robot Hand (휴먼형 로봇 손의 사물 조작 수행을 이용한 사람 데모 결합 강화학습 정책 성능 평가)

  • Park, Na Hyeon;Oh, Ji Heon;Ryu, Ga Hyun;Lopez, Patricio Rivera;Anazco, Edwin Valarezo;Kim, Tae Seong
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.5
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    • pp.179-186
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    • 2021
  • Manipulation of complex objects with an anthropomorphic robot hand like a human hand is a challenge in the human-centric environment. In order to train the anthropomorphic robot hand which has a high degree of freedom (DoF), human demonstration augmented deep reinforcement learning policy optimization methods have been proposed. In this work, we first demonstrate augmentation of human demonstration in deep reinforcement learning (DRL) is effective for object manipulation by comparing the performance of the augmentation-free Natural Policy Gradient (NPG) and Demonstration Augmented NPG (DA-NPG). Then three DRL policy optimization methods, namely NPG, Trust Region Policy Optimization (TRPO), and Proximal Policy Optimization (PPO), have been evaluated with DA (i.e., DA-NPG, DA-TRPO, and DA-PPO) and without DA by manipulating six objects such as apple, banana, bottle, light bulb, camera, and hammer. The results show that DA-NPG achieved the average success rate of 99.33% whereas NPG only achieved 60%. In addition, DA-NPG succeeded grasping all six objects while DA-TRPO and DA-PPO failed to grasp some objects and showed unstable performances.

An Evaluation of Development Plans for Rolling Stock Maintenance Shop Using Computer Simulation - Emphasizing CDC and Generator Car - (시뮬레이션 기법을 이용한 철도차량 중정비 공장 설계검증 - 디젤동차 및 발전차 중정비 공장을 중심으로 -)

  • Jeon, Byoung-Hack;Jang, Seong-Yong;Lee, Won-Young;Oh, Jeong-Heon
    • Journal of the Korea Society for Simulation
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    • v.18 no.3
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    • pp.23-34
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    • 2009
  • In the railroad rolling stock depot, long-term maintenance tasks is done regularly every two or four year basis to maintain the functionality of equipments and rolling stock body or for the repair operation of the heavily damaged rolling stocks by fatal accidents. This paper addresses the computer simulation model building for the rolling stock maintenance shop for the CDC(Commuter Diesel Car) and Generator Car planned to be constructed at Daejon Rolling Stock Depot, which will be moved from Yongsan Rolling Stock Depot. We evaluated the processing capacity of two layout design alternatives based on the maintenance process chart through the developed simulation models. The performance measures are the number of processed cars per year, the cycle time, shop utilization, work in process and the average number waiting car for input. The simulation result shows that one design alternative outperforms another design alternative in every aspect and superior design alternative can process total 340 number of trains per year 15% more than the proposed target within the current average cycle time.