• 제목/요약/키워드: Information Density

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Automatioc Density Measurement System Using Optical Lens in High Speed Textile Fabrication Process (고속의 직물 제직 공정에서 광학적 렌즈를 이용한 자동 밀도 측정 시스템)

  • Lee, Eung-Joo;Hyun, Eung-Joo;Jeong, In-Gab
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.1
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    • pp.111-118
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    • 1998
  • The density of fabric is a very important parameter in many fabric production processes. However, in the textile fabrication factories, textile density measurement process has been done inefficiently by handicraft. Thus, exact textile density measurement process is necessary to fabricate high quality textile through weft straighten. In this paper, we propose an automatic textile density measurement system to measure textile density automatically and to improve fabrication efficiency. The proposed system uses cylindrical lens to optically scan the weftl information of the fabric as well as convex lens to enlarge the weft images. The proposed system improves textile quality and provides constant density value to the whole textile range in the high speed fabrication process.

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Estimation of Crowd Density in Public Areas Based on Neural Network

  • Kim, Gyujin;An, Taeki;Kim, Moonhyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.9
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    • pp.2170-2190
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    • 2012
  • There are nowadays strong demands for intelligent surveillance systems, which can infer or understand more complex behavior. The application of crowd density estimation methods could lead to a better understanding of crowd behavior, improved design of the built environment, and increased pedestrian safety. In this paper, we propose a new crowd density estimation method, which aims at estimating not only a moving crowd, but also a stationary crowd, using images captured from surveillance cameras situated in various public locations. The crowd density of the moving people is measured, based on the moving area during a specified time period. The moving area is defined as the area where the magnitude of the accumulated optical flow exceeds a predefined threshold. In contrast, the stationary crowd density is estimated from the coarseness of textures, under the assumption that each person can be regarded as a textural unit. A multilayer neural network is designed, to classify crowd density levels into 5 classes. Finally, the proposed method is experimented with PETS 2009 and the platform of Gangnam subway station image sequences.

Ferroelectric ultra high-density data storage based on scanning nonlinear dielectric microscopy

  • Cho, Ya-Suo;Odagawa, Nozomi;Tanaka, Kenkou;Hiranaga, Yoshiomi
    • Transactions of the Society of Information Storage Systems
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    • v.3 no.2
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    • pp.94-112
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    • 2007
  • Nano-sized inverted domain dots in ferroelectric materials have potential application in ultrahigh-density rewritable data storage systems. Herein, a data storage system is presented based on scanning non-linear dielectric microscopy and a thin film of ferroelectric single-crystal lithium tantalite. Through domain engineering, we succeeded to form an smallest artificial nano-domain single dot of 5.1 nm in diameter and artificial nano-domain dot-array with a memory density of 10.1 Tbit/$inch^2$ and a bit spacing of 8.0 nm, representing the highest memory density for rewritable data storage reported to date. Sub-nanosecond (500psec) domain switching speed also has been achieved. Next, long term retention characteristic of data with inverted domain dots is investigated by conducting heat treatment test. Obtained life time of inverted dot with the radius of 50nm was 16.9 years at $80^{\circ}C$. Finally, actual information storage with low bit error and high memory density was performed. A bit error ratio of less than $1\times10^{-4}$ was achieved at an areal density of 258 Gbit/inch2. Moreover, actual information storage is demonstrated at a density of 1 Tbit/$inch^2$.

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A Comparison on the Differential Entropy

  • Kim, Dae-Hak
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.3
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    • pp.705-712
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    • 2005
  • Entropy is the basic concept of information theory. It is well defined for random varibles with known probability density function(pdf). For given data with unknown pdf, entropy should be estimated. Usually, estimation of entropy is based on the approximations. In this paper, we consider a kernel based approximation and compare it to the cumulant approximation method for several distributions. Monte carlo simulation for various sample size is conducted.

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A VANET Routing Protocol based on the Road Vehicle Density Information in the City Environment (도시 환경에서 도로 차량 밀도 정보를 기반으로 하는 VANET 라우팅 프로토콜)

  • Yu, Hyun;Ahn, Sanghyun
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.6
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    • pp.253-256
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    • 2013
  • For the reliable delivery of safety-related information to vehicles in the VANET, a reliable VANET routing protocol is required. In this paper, we propose a routing protocol that works based on the road vehicle density information for fast and reliable communications among vehicles within the city environment VANET. In the proposed mechanism, each vehicle computes the road vehicle density by using beacon messages and the road information. Based on the road vehicle density information, each vehicle establishes a reliable route for packet delivery. Through the NS-2 based simulations, we compare our proposed mechanism with GPSR and show that our mechanism outperforms GPSR in terms of packet delivery success rate.

Progressive Edge-Growth Algorithm for Low-Density MIMO Codes

  • Jiang, Xueqin;Yang, Yi;Lee, Moon Ho;Zhu, Minda
    • Journal of Communications and Networks
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    • v.16 no.6
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    • pp.639-644
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    • 2014
  • In low-density parity-check (LDPC) coded multiple-input multiple-output (MIMO) communication systems, probabilistic information are exchanged between an LDPC decoder and a MIMO detector. TheMIMO detector has to calculate probabilistic values for each bit which can be very complex. In [1], the authors presented a class of linear block codes named low-density MIMO codes (LDMC) which can reduce the complexity of MIMO detector. However, this code only supports the outer-iterations between the MIMO detector and decoder, but does not support the inner-iterations inside the LDPC decoder. In this paper, a new approach to construct LDMC codes is introduced. The new LDMC codes can be encoded efficiently at the transmitter side and support both of the inner-iterations and outer-iterations at the receiver side. Furthermore they can achieve the design rates and perform very well over MIMO channels.

LGP Pattern Design by Using a Pattern Density Function with Simple Exponential Function (간단한 지수함수를 패턴 밀도 함수로 이용한 LGP 패턴 설계)

  • Kim, Young-Chul;Kim, Dae-Wook;Oh, Tae-Sik;Lee, Yong-Min;Ahn, Seung-Joon;Kim, Ho-Seob
    • Korean Journal of Optics and Photonics
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    • v.21 no.3
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    • pp.97-102
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    • 2010
  • A pattern density function using simulation analysis for controlling LGP output distribution was proposed. The pattern density function was found as [Pexp(-y/70)+Qexp(+y/25)]R. We analyzed the LGP output distribution of a hemi-sphere pattern using the function and then found that its output distribution was clearly improved as compared with that of the equi-distance pattern. We found that the density function works well for the pyramid pattern case as well as.

Comparison of Display Visual Effects in Control Task under Limited Reaction Time (반응시간제한시 제어작업의 디스플레이 시각효과 비교)

  • 오영진
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.47
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    • pp.57-68
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    • 1998
  • Work environments have been changed with the advent of new technologies, such as computer technology. However, human cognitive limits can't pace up with the change of work environment. Designing human-computer system requires knowledge and evaluation of the human cognitive processes which control information flow workload. Futhermore, under limited reaction time and/or urgent situation, human operator may the work stress, work error and resultant deleterious work environment. This paper evaluate the visual factors of major information processing factors(information density, amount of information, operational speed of speed)on operator performance of supervisory control under urgent(limited reaction time)environments which require deleterious work condition. To describe the work performance int the urgent work situations with time stress and dynamic event occurrence, a new concept of information density was introduced. For a series of experiments performed for this study, three independent variables(information amount, system proceeding speed, information density) were evaluated using five dependent variables. The result of statistical analyses indicate that the amount of information affected on all of five dependent measure. Number of failure and number of secondary task score were influenced by both amount of information and operational speed of system. However reaction time of secondary task were affected by both amount of information and information density. As a result, the deleterious factors for the performances seemed to be a scanning time to supervise each control panel. Consequently, a new display panel was suggest to reduce operator work load for scanning task showing better operator performance.

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Calculation of Magnetic Field for Cylindrical Stator Coils in Permanent Magnet Spherical Motor

  • Li, Hongfeng;Ma, Zigang;Han, Bing;Li, Bin;Li, Guidan
    • Journal of Electrical Engineering and Technology
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    • v.13 no.6
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    • pp.2158-2167
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    • 2018
  • This paper analyzed the magnetic field produced by the cylindrical stator coils of permanent magnet spherical motor (PMSM). The elliptic equations about the vector magnetic potential were given. Given that the eddy current effects are neglected, the magnet field of the PMSM is regarded as irrotational field, which can be calculated by scalar magnetic potential. The current density of cylindrical stator coil was proposed based on the definition of current density. The expression of current density of stator coil was obtained according to the double Fourier series decomposition and spherical harmonic functions. Then the magnetic flux density for scalar magnetic potential was derived. Further, the influence of different parameters on radial flux density was also analyzed. Finally, the results by the analytical method in this paper were validated by finite element analysis (FEA).

User Density Estimation System at Closed Space using High Frequency and Smart device

  • Chung, Myoungbeom
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.11
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    • pp.49-55
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    • 2017
  • Recently, for safety of people, there are proposed so many technologies which detect density of people at the specific place or space. The representative technology for crowd density estimation was using image analysis method from CCTV images. However, this method had a weakness which could not be used and which's accuracy was lower at the dark or smog space. Therefore, in this paper, to solve this problem, we proposed a user density estimation system at closed space using high frequency and smart device. The system send inaudible high frequencies to smart devices and it count the smart devices which detect the high frequencies on the space. We tested real-time user density with the proposed system and ten smart devices to evaluate performance. According to the testing results, we confirmed that the proposed system's accuracy was 95% and it was very useful. Thus, because the proposed system could estimate about user density at specific space exactly, it could be useful technology for safety of people and measurement of space use state at indoor space.