• Title/Summary/Keyword: intrinsic feature

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A Study on the Economic Feature of Fisheries Resource and Socio-economic Objectives in Fisheries Management (어업자원의 경제적 특성과 그 관리의 사회.경제적 목표에 관한 연구)

  • 유동운
    • The Journal of Fisheries Business Administration
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    • v.12 no.2
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    • pp.73-100
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    • 1981
  • Fisheries resources, due to their intrinsic biological -density dependent, and socio- economic -common property nature, might yield the sustained benefits to the society involved, depending on the degree to which the social management scheme, pursuing the optimum yield from each of them, is framed. And besides, the success or failure of the management on them would, with no doubt, lead parallelly to the direction on scientific study of "Natural Resource Economics." Thus the objectives of the management, to ensue the best use of these society's resource, should underlie the technical, economic, ana social efficiency all together to meet the maximization of society's benefits from yields, taking account of managerial efficiency. And those multiple conflicts need communications between biologists, social scientists, and managers given tile mandate, tobe coordinated to arrive at a unique value weighed, through the well-ordered system approach and resulting timely decision-making which accommodates dynamical fisheries aspects and varying social purposes. purposes.

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3-D Image Processing Using Laser Slit Beam and Neural Networks (레이저 슬릿빔과 신경망을 이용한 3차원 영상인식)

  • 김병갑;강이석;최경현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.04a
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    • pp.118-122
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    • 1997
  • This paper presents a 3d image processing which uses neural networks to combine a 2D vision camera and a laser slit beam. A laser slit beam from laser source is slitted by a set of cylindrical lenses and the line image of the slit beam on the object is used to estimate the object parameters. The neural networks allow to get the 3D image parameters such as the size, the position and the orientation form the line image without knowing the camera intrinsic parameters.

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Active Tension Control Using an ER Brake Actuator (ER브레이크 작동기를 이용한 능동 장력 제어)

  • Park, S.B.;Kim, G.W.;Cheong, C.C.
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.8
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    • pp.102-111
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    • 1996
  • This paper presents a proof-of-concept investigation on an active tension control using an ER (electro-rheological) brake actuator. Firstly, an ERF (electro-rheological fluid) which has an inherent reversible feature from Newtonian fluid to Bingham fluid upon applying an electric field is composed, and its property is tested to obtain intrinsic parameters of the Bingham model. An appropriate size of the ER brake is manufactured on the basis of the Bingham model, and dynamic characteristics of the brake are experimentally identified. After formulating a governing equation of motion of the tension control system, a sliding mode controller is designed to achieve a certain desired level of tension. Both simulation and experimental works are undertaken in order to demonstrate the efficiency and feasibility of the proposed active tension control method.

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WLSD: A Perceptual Stimulus Model Based Shape Descriptor

  • Li, Jiatong;Zhao, Baojun;Tang, Linbo;Deng, Chenwei;Han, Lu;Wu, Jinghui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.12
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    • pp.4513-4532
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    • 2014
  • Motivated by the Weber's Law, this paper proposes an efficient and robust shape descriptor based on the perceptual stimulus model, called Weber's Law Shape Descriptor (WLSD). It is based on the theory that human perception of a pattern depends not only on the change of stimulus intensity, but also on the original stimulus intensity. Invariant to scale and rotation is the intrinsic properties of WLSD. As a global shape descriptor, WLSD has far lower computation complexity while is as discriminative as state-of-art shape descriptors. Experimental results demonstrate the strong capability of the proposed method in handling shape retrieval.

Abnormal Crowd Behavior Detection Using Heuristic Search and Motion Awareness

  • Usman, Imran;Albesher, Abdulaziz A.
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.131-139
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    • 2021
  • In current time, anomaly detection is the primary concern of the administrative authorities. Suspicious activity identification is shifting from a human operator to a machine-assisted monitoring in order to assist the human operator and react to an unexpected incident quickly. These automatic surveillance systems face many challenges due to the intrinsic complex characteristics of video sequences and foreground human motion patterns. In this paper, we propose a novel approach to detect anomalous human activity using a hybrid approach of statistical model and Genetic Programming. The feature-set of local motion patterns is generated by a statistical model from the video data in an unsupervised way. This features set is inserted to an enhanced Genetic Programming based classifier to classify normal and abnormal patterns. The experiments are performed using publicly available benchmark datasets under different real-life scenarios. Results show that the proposed methodology is capable to detect and locate the anomalous activity in the real time. The accuracy of the proposed scheme exceeds those of the existing state of the art in term of anomalous activity detection.

Effects of geometrical parameters on the degree of bending in two-planar tubular DYT-joints of offshore jacket structures

  • Hamid Ahmadi;Mahdi Ghorbani
    • Ocean Systems Engineering
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    • v.13 no.2
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    • pp.97-121
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    • 2023
  • Through-the-thickness stress distribution in a tubular member has a profound effect on the fatigue behavior of tubular joints commonly found in steel offshore structures. This stress distribution can be characterized by the degree of bending (DoB). Although multi-planar joints are an intrinsic feature of offshore tubular structures and the multi-planarity usually has a considerable effect on the DoB values at the brace-to-chord intersection, few investigations have been reported on the DoB in multi-planar joints due to the complexity of the problem and high cost involved. In the present research, data extracted from the stress analysis of 243 finite element (FE) models, verified based on available parametric equations, was used to study the effects of geometrical parameters on the DoB values in two-planar tubular DYT-joints. Parametric FE study was followed by a set of nonlinear regression analyses to develop six new DoB parametric equations for the fatigue analysis and design of axially loaded two-planar DYT-joints.

A Study of the normativeness on the Influence of the Memphis on the Comtemporary Fashion Design - Focused on the End of the 20th Century - (멤피스(Memphis)디자인이 현대 패션에 미친 조형적 특징에 관한 연구 -20세기말을 중심으로-)

  • 임영자;한윤숙
    • Journal of the Korean Society of Costume
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    • v.51 no.1
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    • pp.5-20
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    • 2001
  • The purpose of this study suggest the fashion of communication for 21th century fashion. Especially, Memphis fashion have the possibility of communicating through objects. The results of this study are as follows : First, Memphis idea is to make design into a sophisticated, conscious instrument of communication. As the Memphis fashion points out : design is an extraordinary tool for communicating because its intrinsic characteristic is the fact that it is used and distributed anyway, even without communicating anything. The Memphis fashion is trying to connect design and industry to the broader culture within which fashion moves. Second, Using different materials provides not only new structural Possibilities. but - above all - new semantic and metaphoric possibilities, order modes of communication, another language, and even a change of direction, broadening of perspective, appropriation and digestion of new values and the concomitant rejection of traditional structures that renewal always Involves. The memphis fashion works on the fabric of contemporaneity (lurex yarn, latex, chrome metal and steel) and contemporaneity means computers, electronics, a new awareness of the body. mass exercise and tourism. Third, color in Memphis has never been an ideological vehicle. As with decoration it is born tilth the design, forming an integral part of the structure. It alters the objects molecules. It works as a mass, as an intrinsic feature of a certain form and volume. The Memphis fashion was realized the introduction of ultramodern science into such experimental and creative implementation as optical motive, brilliancy of colour of electronic medium in audition to metallic fabric and high technical synthetic fiber. A color tilth pop culture connotations that weaver between technological allusions and Mcdonald's.

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A Research on Design Characteristics of Steampunk Fashion Style (스팀펑크 패션 스타일의 디자인 특성에 대한 연구)

  • Zhou, Jiachen;Kim, Sooji;Lee, Youngjae
    • Journal of Fashion Business
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    • v.23 no.4
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    • pp.112-126
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    • 2019
  • The objective of this study was to investigate visual elements of steampunk fashion and provide base line data for innovative fashion design ideas and products. We investigated design characteristics of steampunk fashion style shown in 3 movies and 3 animations. Based on the investigation, the research drew intrinsic value of steampunk fashion from three brands 'Vivienne Westwood', 'Dolce & Gabbana' and 'Alexander McQueen'. As the research analyzed movies and animations revealing steampunk style, various characteristics were found and assorted into similar categories. Subcategories of steampunk fashion are pluralism, rebellion and heterogeneity. The followings are result of analyzing three designer collection listed above. First, steampunk fashion made by designers used various color and materials to express multi-pluralistic(multiplicity) characteristic. Second, fashion style in collections revealed artistic and experimental design. This adventurous and innovative characteristic is categorized as rebellion feature. Third, steampunk fashion style used mix-match of unexpected materials or unbalanced silhouette to create a complete fashion style by combining styles in duplicity which could've lack harmony. Intrinsic value of steampunk is defined as graffiti of 19th century's science technology and utopia spirit. Longing for past and fantasy was expressed into fashion. Steampunk fashion wants to escape reality and tries to recreate history of the past faded away with technological development. It defines steampunk as freedom, deviation and fantastical utopia in positive point of view. Furthermore, aesthetic implication of steampunk style found in this research can make a boundary of steampunk style clear and become reference for future researches regarding steampunk fashion.

Dual Path Model in Store Loyalty of Discount Store (대형마트 충성도의 이중경로모형)

  • Ji, Seong-Goo;Lee, Ihn-Goo
    • Journal of Distribution Research
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    • v.15 no.1
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    • pp.1-24
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    • 2010
  • I. Introduction The industry of domestic discount store was reorganized with 2 bigs and 1 middle, and then Home Plus took over Home Ever in 2008. In present, Oct, 2008, E-Mart has 118 outlets, Home Plus 112 outlets, and Lotte Mart 60 stores. With total number of 403 outlets, they are getting closer to a saturation point. We know that the industry of discount store has been getting through the mature stage in retail life cycle. There are many efforts to maintain existing customers rather than to get new customers. These competitions in this industry lead firms to acknowledge 'store loyalty' to be the first strategic tool for their sustainable competitiveness. In other words, the strategic goal of discount store is to boost up the repurchase rate of customers throughout increasing store loyalty. If owners of retail shops can figure out main factors for store loyalty, they can easily make more efficient and effective retail strategies which bring about more sales and profits. In this practical sense, there are many papers which are focusing on the antecedents of store loyalty. Many researchers have been inspecting causal relationships between antecedents and store loyalty; store characteristics, store image, atmosphere in store, sales promotion in store, service quality, customer characteristics, crowding, switching cost, trust, satisfaction, commitment, etc., In recent times, many academic researchers and practitioners have been interested in 'dual path model for service loyalty'. There are two paths in store loyalty. First path has an emphasis on symbolic and emotional dimension of service brand, and second path focuses on quality of product and service. We will call the former an extrinsic path and call the latter an intrinsic path. This means that consumers' cognitive path for store loyalty is not single but dual. Existing studies for dual path model are as follows; First, in extrinsic path, some papers in domestic settings show that there is 'store personality-identification-loyalty' path. Second, service quality has an effect on loyalty, which is a behavioral variable, in the mediation of customer satisfaction. But, it's very difficult to find out an empirical paper applied to domestic discount store based on this mediating model. The domestic research for store loyalty concentrates on not only intrinsic path but also extrinsic path. Relatively, an attention for intrinsic path is scarce. And then, we acknowledge that there should be a need for integrating extrinsic and intrinsic path. Also, in terms of retail industry, this study is meaningful because retailers want to achieve their competitiveness by using store loyalty. And so, the purpose of this paper is to integrate and complement two existing paths into one specific model, dual path model. This model includes both intrinsic and extrinsic path for store loyalty. With this research, we would expect to understand the full process of forming customers' store loyalty which had not been clearly explained. In other words, we propose the dual path model for discount store loyalty which has been originated from store personality and service quality. This model is composed of extrinsic path, discount store personality$\rightarrow$store identification$\rightarrow$store loyalty, and intrinsic path, service quality of discount store$\rightarrow$customer satisfaction$\rightarrow$store loyalty. II. Research Model Dual path model integrates intrinsic path and extrinsic path into one specific model. Intrinsic path put an emphasis on quality characteristics and extrinsic path focuses on brand characteristics. Intrinsic path is based on information processing perspective, and extrinsic path emphasizes symbolic and emotional dimension of brand. This model is composed of extrinsic path, discount store personality$\rightarrow$store identification$\rightarrow$store loyalty, and intrinsic path, service quality of discount store$\rightarrow$customer satisfaction$\rightarrow$store loyalty. Hypotheses are as follows; Hypothesis 1: Service quality perceived by customers in discount store has an positive effect on customer satisfaction Hypothesis 2: Store personality perceived by customers in discount store has an positive effect on store identification Hypothesis 3: Customer satisfaction in discount store has an positive effect on store loyalty. Hypothesis 4: Store identification has an positive effect on store loyalty. III. Results and Implications We examined consumers who patronize discount stores for samples of this study. With the structural equation model(SEM) analysis, we empirically tested the validity and fitness of the dual path model for store loyalty in discount stores. As results, the fitness indices of this model were well fitted to data obtained. In an intrinsic path, service quality(SQ) is positively related to customer satisfaction(CS), customer satisfaction(CS) has very significantly positive effect on store loyalty(SL). Also, in an extrinsic path, the store personality(SP) is positively related to store identification(SI), it shows significant effect on store loyalty. Table 1 shows the results as follows; There are some theoretical and practical implications. First, Many studies on discount store loyalty have been executed from various perspectives. But there has been no integrative view on this issue. And so, this research was theoretically designed to integrate various and controversial arguments into one systematic model. We empirically tested dual path model forming store loyalty, and brought up a systematic and integrative framework for future studies. We want to expect creative and aggressive research activities. Second, a few established papers are focused on the relationship between antecedents and store loyalty; store characteristics, atmosphere, sales promotion in store, service quality, trust, commitment, etc., There has been some limits in understanding thoroughly the formation process of store loyalty with a singular path, intrinsic or extrinsic. Beyond these limits in single path, we could propose the new path for store loyalty. This is meaningful. Third, discount store firms make and execute marketing strategies for increasing store loyalty. This research provides real practitioners with reference framework needed for actual strategy formation. Because this paper shows integrated and systematic path for store loyalty. A special feature of this study is to represent 6 sub dimensions of service quality in intrinsic path and 4 sub dimensions of store personality in extrinsic path. Marketers can make more analytic marketing planning with concrete sub dimensions of service quality and store personality. When marketers of discount stores make strategic planning like MPR, Ads, campaign, sales promotion, they can use many items which are more competitive than competitors.

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DNN based Robust Speech Feature Extraction and Signal Noise Removal Method Using Improved Average Prediction LMS Filter for Speech Recognition (음성 인식을 위한 개선된 평균 예측 LMS 필터를 이용한 DNN 기반의 강인한 음성 특징 추출 및 신호 잡음 제거 기법)

  • Oh, SangYeob
    • Journal of Convergence for Information Technology
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    • v.11 no.6
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    • pp.1-6
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    • 2021
  • In the field of speech recognition, as the DNN is applied, the use of speech recognition is increasing, but the amount of calculation for parallel training needs to be larger than that of the conventional GMM, and if the amount of data is small, overfitting occurs. To solve this problem, we propose an efficient method for robust voice feature extraction and voice signal noise removal even when the amount of data is small. Speech feature extraction efficiently extracts speech energy by applying the difference in frame energy for speech and the zero-crossing ratio and level-crossing ratio that are affected by the speech signal. In addition, in order to remove noise, the noise of the speech signal is removed by removing the noise of the speech signal with an average predictive improved LMS filter with little loss of speech information while maintaining the intrinsic characteristics of speech in detection of the speech signal. The improved LMS filter uses a method of processing noise on the input speech signal by adjusting the active parameter threshold for the input signal. As a result of comparing the method proposed in this paper with the conventional frame energy method, it was confirmed that the error rate at the start point of speech is 7% and the error rate at the end point is improved by 11%.