• Title/Summary/Keyword: Used Trading

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Blockchain-based e-Agro Intelligent System

  • Srinivas, V. Sesha;Pompapathi, M.;Rao, G. Srinivasa;Chaitanya, Smt. M.
    • International Journal of Computer Science & Network Security
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    • v.22 no.7
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    • pp.347-351
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    • 2022
  • Farmers E-Market is a website that allows agricultural workers to direct market their products to buyers without the use of a middleman. That theory is blockchain system will be used by authors to accomplish this. The system, which is built on a public blockchain system, supports sustainability, shippers, and consumers. Farmers can keep track of their farming activities. Customers can review the product's history and track its journey through carriers to delivery after making a purchase. Farmers are encouraged to get information about their interests promptly in a blockchain-enabled system like this. This functionality is being used by small-scale farmers to form groups based on their location to attract large-scale customers, renegotiate farming techniques or volumes, and enter into contracts with buyers. The analysis shows the use of blockchain technology with a farmer's portal that keeps the video of trading data of crops, taking into account the qualities of blockchain such as values and create or transaction data. The proposal merges python as a programming language with a blockchain system to benefit farmers, vendors, and individuals by preserving transactions.

The Study on the Sale Form Selection in the Sale and Purchase of Second Hand Ships (중고선박 매매계약의 선택기준에 대한 연구)

  • Cho, Jae-Kee;Kim, Junseung;Park, Keun-Sik
    • Journal of Korea Port Economic Association
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    • v.36 no.1
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    • pp.59-76
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    • 2020
  • The purpose of this study is to analyze the factors of the main selection criteria of the contract form used to conclude the sales contracts of used ships and to assist parties in selecting the most suitable contract form for trading situations. The methods of the study are based on identifying the factors from the questionnaires using analytic hierarchy process analysis, following the selection of typical details through interviews with the S&P Broker Group and finding the solutions that match each detail. The analysis shows that ship traders prefer the Norwegian Sales Form (NSF) to NIPPONSALE for various reasons. Considering the sellers' situations, NFS is the more reasonable option for major countries, except Japan. NIPPONSALE is relatively more focused on the advantages of the buyer's conditions, including for Japan. It is important to select the appropriate clauses from these types of contract, according to the trading conditions, including the main and additional terms, in order to create a mutual agreement between the shipper and the consignee that leads to more cooperation and balances the purposes of both parties in adjusting the time for securing and disposing of the vessels.

Trade Facilitation and China's Agricultural Products Exports: Empirical Evidence from Japan and Korea

  • Liu, Jing;Wang, Peizhi;Wu, Haomiao
    • Journal of Korea Trade
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    • v.25 no.7
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    • pp.92-107
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    • 2021
  • Purpose - This paper analyzes the relationship between trade facilitation and agricultural products exports and estimates the effects of trade facilitation in importing countries on Chinese agricultural products exports, which is of great significance for promoting agricultural trade between China,Japan and Korea and the governments of the three countries to formulate targeted trade facilitation policies. Design/methodology - Based on Wilson (2003) theoretical framework, this paper sets up its own trade facilitation level measurement system by involving four primary indicators and fifteen secondary indicators to evaluate the trade facilitation levels of Japan and Korea from 2011 to 2018 respectively. The paper selected the data on China's agricultural exports at the HS4 level from 2011-2018 and used a fixed-effects model to estimate the effect of changes in trade facilitation levels in trading partner countries on China's agricultural trade. Findings - Our main findings can be summarized as follows: the level of trade facilitation in importing countries has a significantly positive effect on China's agricultural exports. The higher the level of trade facilitation in trading partner countries, the more Chinese agricultural exports trade, i.e. for every 1 percentage point increase in the level of trade facilitation, the volume of exports will increase by 2.299%.The sub-sample test shows that China's main agricultural products exported to Japan and Korea, such as aquatic products, vegetables, fruits and other perishable fresh products, are particularly significantly affected by the level of trade facilitation. Originality/value - First, from the innovation of the research perspective, which is different from the analysis of the existing paper on the overall trade facilitation of all traded commodities. This article is based on the close trade relations between China, Japan and Korea, and the particularity of agricultural products, from the perspective of China's agricultural exports to Japan and Korea, discuss the impact of importing countries-Japan and Korea's trade facilitation levels on China's agricultural exports;Secondly, in this paper, the hierarchical data of the HS4 quartile is used to avoid the information loss of the industry, and to analyse the impact of the importing country's trade facilitation level on the export of different types of agricultural products more scientifically.

Factors influencing farmed fish traders' intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model

  • Jimmy Brian Mboya;Kevin Odhiambo Obiero;Maureen Jepkorir Cheserek;Kevin Okoth Ouko;Erick Ochieng Ogello;Nicholas Otieno Outa;Elizabeth Akinyi Nyauchi;Domitila Ndinda Kyule;Jonathan Mbonge Munguti
    • Fisheries and Aquatic Sciences
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    • v.26 no.2
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    • pp.105-116
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    • 2023
  • Improved fish post-harvest technologies (IFPT) have been promoted as more efficient methods of fish processing, preservation, and value addition than the traditional methods prevalent in developing countries. The adoption rates, however, do not appear to be convincing. The purpose of this study was to determine the socio-demographic and psychological factors that influence intention of Kenyan farmed fish traders to use IFPT. The technology acceptance model (TAM) was used to properly explain the impact of TAM constructs such as perceived usefulness (PU), perceived ease of use (PEOU), and attitude (ATT), as well as socio-demographic factors such as gender, age, education level and fish trading experience on traders' intention to use the technologies. A cross-sectional survey was conducted to collect data using a semi-structured questionnaire from 146 traders in Busia, Siaya and Kakamega counties. At a significance level of p = 0.05, a linear regression model was used to examine the socio-demographic and psychological determinants of the traders' behavioral intention to use the improved technologies. The regression analysis revealed that PU (β = 0.443; p = 0.000), PEOU (β = 0.364; p = 0.000) and ATT (β = 0.615; p = 0.000) influence traders' intention to use IFPT, with ATT having the highest influence on intention. However, the traders' socio-demographic characteristics have no effect on their intention to use the technologies, as the coefficients for gender (β = 0.148; p = 0.096), age (β = 0.016; p = 0.882), level of education (β = -0.135; p = 0.141) and fish trading experience (β = 0.017; p = 0.869) are all insignificant. These findings show that the traders intend to use IFPT and will use them when it is in their best economic interests.

Rough Set Analysis for Stock Market Timing (러프집합분석을 이용한 매매시점 결정)

  • Huh, Jin-Nyung;Kim, Kyoung-Jae;Han, In-Goo
    • Journal of Intelligence and Information Systems
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    • v.16 no.3
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    • pp.77-97
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    • 2010
  • Market timing is an investment strategy which is used for obtaining excessive return from financial market. In general, detection of market timing means determining when to buy and sell to get excess return from trading. In many market timing systems, trading rules have been used as an engine to generate signals for trade. On the other hand, some researchers proposed the rough set analysis as a proper tool for market timing because it does not generate a signal for trade when the pattern of the market is uncertain by using the control function. The data for the rough set analysis should be discretized of numeric value because the rough set only accepts categorical data for analysis. Discretization searches for proper "cuts" for numeric data that determine intervals. All values that lie within each interval are transformed into same value. In general, there are four methods for data discretization in rough set analysis including equal frequency scaling, expert's knowledge-based discretization, minimum entropy scaling, and na$\ddot{i}$ve and Boolean reasoning-based discretization. Equal frequency scaling fixes a number of intervals and examines the histogram of each variable, then determines cuts so that approximately the same number of samples fall into each of the intervals. Expert's knowledge-based discretization determines cuts according to knowledge of domain experts through literature review or interview with experts. Minimum entropy scaling implements the algorithm based on recursively partitioning the value set of each variable so that a local measure of entropy is optimized. Na$\ddot{i}$ve and Booleanreasoning-based discretization searches categorical values by using Na$\ddot{i}$ve scaling the data, then finds the optimized dicretization thresholds through Boolean reasoning. Although the rough set analysis is promising for market timing, there is little research on the impact of the various data discretization methods on performance from trading using the rough set analysis. In this study, we compare stock market timing models using rough set analysis with various data discretization methods. The research data used in this study are the KOSPI 200 from May 1996 to October 1998. KOSPI 200 is the underlying index of the KOSPI 200 futures which is the first derivative instrument in the Korean stock market. The KOSPI 200 is a market value weighted index which consists of 200 stocks selected by criteria on liquidity and their status in corresponding industry including manufacturing, construction, communication, electricity and gas, distribution and services, and financing. The total number of samples is 660 trading days. In addition, this study uses popular technical indicators as independent variables. The experimental results show that the most profitable method for the training sample is the na$\ddot{i}$ve and Boolean reasoning but the expert's knowledge-based discretization is the most profitable method for the validation sample. In addition, the expert's knowledge-based discretization produced robust performance for both of training and validation sample. We also compared rough set analysis and decision tree. This study experimented C4.5 for the comparison purpose. The results show that rough set analysis with expert's knowledge-based discretization produced more profitable rules than C4.5.

Design and Implementation of An Educational VDB System in Distributed Environments Based on Object Groups (객체그룹 기반의 분산환경에서 교육용 VDB 시스템의 설계 및 구현)

  • Yu, Gyeong-Taek;Lee, Hyeon-Cheol;Ju, Su-Jong
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.11
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    • pp.3034-3045
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    • 1999
  • For efficiently providing multimedia services, distributed computing environments are specified the requirements of various services and distributed object platforms applied an object-oriented technology by TINA Consortium and OMG CORBA. Because multimedia service applications are becoming large and distributing, their servicing managing interfaces among objects are being complicated. In order to solve these defects, it is necessary to suggest a new object grouping model and specify object service/management requirements can be introduced under the object groups. We have been developed the distributed object group platform that can group all individual objects by the relating services and can supply trading functions for interconnecting between distributed objects or object groups. In this paper, we designed and implemented the Virtual Drawing Board for remote equational services on the distributed object group platform we mentioned above. As results, we designed a basic structure and service interfaces, and showed execution procedures of VDB system consisted of distributed objects and objects groups for educational services. For supporting distributed services of VDB system, we used three kinds of tools as follows; IONA orbix 2.2 of CORBA compliance as an object middleware, OrbixTrader 1.0 for interconnection of distributed objects, and the OGTG we developed for interconnection of distributed object groups and checking access rights of objects included in an arbitrary object group.

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The Attitudes of Nurses Toward Multi-cultural Families (다문화 가정에 대한 간호사의 인식)

  • Lee, Na Youn;Lee, Eun Nam;Park, Eun Young
    • The Journal of Korean Academic Society of Nursing Education
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    • v.19 no.2
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    • pp.241-250
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    • 2013
  • Purpose: The purpose of this study was to identify the attitude toward multi-cultural families. Method: The Q-methodology which provides a method of analyzing the subjectivity of each item was used. Thirty nurses classified the 34 selected Q-statements into a normal distribution using a 9 point scale. The collected data was analyzed using the Quanl PC program. Result: Four types of attitudes toward multi-cultural families were identified. The first type(value-neutral acceptance) considered multi-cultural families as individual's choice so they accepted it as one type of families and they persisted that nobody can oppose or blame for it. The second type(inevitable acceptance) considered multi-cultural families as a necessary evil that can solve the problem of old bachelors' seeking marriage. The third type (NIMBY: Not in my backyard) understood various advantage of multi-cultural families but they opposed their own family's intermarriage. The fourth type(negative prejudice) considered intermarriage as trading for the benefit of each other and they had strong antipathy against multi-cultural families. Conclusion: The results of the study indicate that different approaches of educational program based on the four types of attitudes toward multi-cultural families are recommended.

A Study on the Formative Factors and Characteristics of Spanish Fashion(I) (스페인 패션의 형성 요인과 특성(I))

  • Lee, Keum Hee
    • Journal of the Korean Society of Costume
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    • v.63 no.8
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    • pp.188-208
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    • 2013
  • This study aims to find out factors of historical specialty and cultural ethnicity that influenced the formation of Spanish fashion as well as examine the characteristics of Spanish fashion by comparing its historical costumes, such as folk costume and court costume with contemporary fashion of major Spanish designers in the 20th century. Documental investigation and analysis of visual materials were used as research method. The study results are as follows: The major factors that affected the characteristics of Spanish fashion in the history include the geographical features, invasion of foreign nations, cultural heritage of various ethnic groups, strengthening of the national power, advancement of international trading through the newly developed routes, and influence of religions such as Christianity, Islam, and Judaism. Featuring the coexistence of variety and heterogeneity, the ethnicity reflected in the culture harmoniously embraces various spirits such as conflict and coexistence, individualism and collectivism or regionalism, and exclusion and tolerance of religions. In addition, the characteristics in the cultural phenomena include passion, sensuousness, individualism, sense of reality, sense of chic, and the people-centeredness. The basic Characteristics of Spanish fashion include the sensuality of excessive zeal, decorativeness of gorgeous handicrafts, exoticism of people-centered variety, extreme contrast of harmony, touching artistry of chic, and fantastic surrealistic wits.

Using cluster analysis and genetic algorithm to develop portfolio investment strategy based on investor information (군집분석과 유전자 알고리즘을 활용한 투자자 거래정보 기반 포트폴리오 투자전략)

  • Cheong, Donghyun;Oh, Kyong Joo
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.1
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    • pp.107-117
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    • 2014
  • The main purpose of this study is to propose a portfolio investment strategy based on investor types information. For improvement of investment performance, artificial intelligence techniques are used to construct a portfolio. Among many artificial intelligence techniques, cluster analysis is applied to select securities and genetic algorithm is applied to assign the respective weight within the portfolio. Empirical experiments in the Korean stock market show that proposed portfolio investment strategy is practicable and superior strategy. This result implies that analysis of investor's trading behavior may assist investors to make an investment decision and to get superior performance.

A Competitiveness Analysis on the Korean Precision Instrument Parts in the Chinese Market (한국 정밀기기부품의 중국시장 경쟁력 분석)

  • Choi, Hyuk-Jun
    • International Commerce and Information Review
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    • v.16 no.4
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    • pp.457-475
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    • 2014
  • The purpose of this study was to analyze market competitiveness of Korean precision instrument parts in the chinese market. Korea-China trade has made rapid progress since establish diplomatic relations in 1992 and China become biggest trading partner of Korea in the present. For attaining the purpose of study, we collected related statistical data and used market comparative advantage index. From this analysis, following results were found. There are no items have competitiveness in the chinese market until the present time. However, item code 26041, 26034, 26022 are bound to be secure competitiveness in the chinese market in the near future and item code 26022 will emerge especially strategic item in the chinese market.

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