• Title/Summary/Keyword: Performance

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[Retraction]Influencing Factors on Pre-implementation Acceptance of Geron-technology for the Elderly Residing in Community ([논문 철회]지역사회 노인의 제론테크놀로지에 대한 사용 전 수용성에 영향을 미치는 요인)

  • An, Jiwon;Park, Kyongok
    • Journal of Digital Convergence
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    • v.17 no.7
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    • pp.157-165
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    • 2019
  • Geron-technology contributing to successful "Aging in place" increases the quality of life for the elderly and decreases the social caring cost. This study aims to identify influencing factors on pre-implementation acceptance of geron-technology for the elderly residing in a community. Data for 129 participants were analyzed. Results indicated that location, physical function, lack of technical support by family members, and the high financial cost as a 28% power were identified as the influencing factors on pre-implementation acceptance of geron-technology. Therefore, in the development of health and welfare strategy, these influencing factors should be considered in order to archive 'aging in place' for the elderly.

Exploring the Performance of Synthetic Minority Over-sampling Technique (SMOTE) to Predict Good Borrowers in P2P Lending (P2P 대부 우수 대출자 예측을 위한 합성 소수집단 오버샘플링 기법 성과에 관한 탐색적 연구)

  • Costello, Francis Joseph;Lee, Kun Chang
    • Journal of Digital Convergence
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    • v.17 no.9
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    • pp.71-78
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    • 2019
  • This study aims to identify good borrowers within the context of P2P lending. P2P lending is a growing platform that allows individuals to lend and borrow money from each other. Inherent in any loans is credit risk of borrowers and needs to be considered before any lending. Specifically in the context of P2P lending, traditional models fall short and thus this study aimed to rectify this as well as explore the problem of class imbalances seen within credit risk data sets. This study implemented an over-sampling technique known as Synthetic Minority Over-sampling Technique (SMOTE). To test our approach, we implemented five benchmarking classifiers such as support vector machines, logistic regression, k-nearest neighbor, random forest, and deep neural network. The data sample used was retrieved from the publicly available LendingClub dataset. The proposed SMOTE revealed significantly improved results in comparison with the benchmarking classifiers. These results should help actors engaged within P2P lending to make better informed decisions when selecting potential borrowers eliminating the higher risks present in P2P lending.

A qualitative research on the nail shop's store attributes - Focused on independent stores - (네일샵의 점포속성에 관한 질적연구 - 단독 매장을 중심으로 -)

  • Lim, Yun-Kyoung;Kwak, Tai-Gi
    • Journal of the Korea Fashion and Costume Design Association
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    • v.21 no.3
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    • pp.67-80
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    • 2019
  • The purpose of this study was to clarify store attributes for nail stores (focusing on independent stores) by qualitative research. Even though the nail market is showing a steady increase in terms of sales amounts, and the number of stores, related studies were very rare. Meanwhile, as long as the nail market is growing, many stores are suffering from bad business performance because of new nail stores are relatively easier to open than beauty or hair stores, but the nail stores don't have a discriminated marketing strategy. As nail the market is rapidly increasing, finding factors that led to success for nail stores is very meaningful, both for academics and business. The reason that qualitative research should be done before the quantitative research is due to scant theoretical background concerning this matter. For this qualitative research, 8 experts who are operating nail stores as an owner or a manager or a professor at a university who had over 5 years of related working experience were included. The attributes for nail stores were derived using one-to-one in-depth interviews conducted from March 3 to May 31, 2019. As a result of the qualitative studon the attributes for nail stores, it turned out that there were 5 factors-physical environment, product, speed, profitability, and reliability. Physical environment, product, and profitability were mentioned in most related surveys, but some details showed that and speed and reliability have been newly highlighted. Many unknown issues that were not easy to acquire from common academic research are included. After this study, I hope that many marketers may get basic conditions to apply to real businesses and that they can use it as effective data for the following quantitative research.

A Study on PCS for ML-Based Electrical Propulsion System (ML 기반의 전기추진시스템을 위한 PCS에 관한 연구)

  • Lee, Jong-Hak;Lee, Hun-Seok;Oh, Jin-Seok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.9
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    • pp.1025-1031
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    • 2019
  • This study proposes a PCS that enables efficient operation of seawater pumps for ships by implementing ML-based algorithms. Seawater temperature, RPM and power consumption data are acquired from two ships with PCS, analyzed with regression analysis method, and new algorithms are presented. Using the algorithms presented, Ship A saved about 36% compared to the PCS application, and ML-based algorithms in certain sea temperatures of 19 to 27 degrees Celsius and above 32 degrees Celsius were about 1% lower than Ship A's PCS. Ship B saved about 50% compared to PCS not applied, and about 2% more than Ship B's PCS in waters above $19^{\circ}C$, a specified sea temperature. The derived data can be used to suggest the optimum pump speed and sea route. In addition, the trend of acquired data can be used to infer the performance of the pump or the timing of elimination of the MGPS when efficiency becomes poor.

Differential Privacy Technology Resistant to the Model Inversion Attack in AI Environments (AI 환경에서 모델 전도 공격에 안전한 차분 프라이버시 기술)

  • Park, Cheollhee;Hong, Dowon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.3
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    • pp.589-598
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    • 2019
  • The amount of digital data a is explosively growing, and these data have large potential values. Countries and companies are creating various added values from vast amounts of data, and are making a lot of investments in data analysis techniques. The privacy problem that occurs in data analysis is a major factor that hinders data utilization. Recently, as privacy violation attacks on neural network models have been proposed. researches on artificial neural network technology that preserves privacy is required. Therefore, various privacy preserving artificial neural network technologies have been studied in the field of differential privacy that ensures strict privacy. However, there are problems that the balance between the accuracy of the neural network model and the privacy budget is not appropriate. In this paper, we study differential privacy techniques that preserve the performance of a model within a given privacy budget and is resistant to model inversion attacks. Also, we analyze the resistance of model inversion attack according to privacy preservation strength.

ST Reliability and Connectivity of VANETs for Different Mobility Environments

  • Saajid, Hussain;DI, WU;Memon, Sheeba;Bux, Naadiya Khuda
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.5
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    • pp.2338-2356
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    • 2019
  • Vehicular ad-hoc network (VANET) is the name of technology, which uses 'mobile internet' to facilitate communication between vehicles. The aim is to ensure road safety and achieve secure communication. Therefore, the reliability of this type of networks is a serious concern. The reliability of VANET is dependent upon proper communication between vehicles within a given amount of time. Therefore a new formula is introduced, the terms of the new formula correspond 1 by 1 to a class special ST route (SRORT). The new formula terms are much lesser than the Inclusion-Exclusion principle. An algorithm for the Source-to-Terminal reliability was presented, the algorithm produced Source-to-Terminal reliability or computed a Source-to-Terminal reliability expression by calculating a class of special networks of the given network. Since the architecture of this class of networks which need to be computed was comparatively trivial, the performance of the new algorithm was superior to the Inclusion-Exclusion principle. Also, we introduce a mobility metric called universal speed factor (USF) which is the extension of the existing speed factor, that suppose same speed of all vehicles at every time. The USF describes an exact relation between the relative speed of consecutive vehicles and the headway distance. The connectivity of vehicles in different mobile situations is analyzed using USF i.e., slow mobility connectivity, static connectivity, and high mobility connectivity. It is observed that $p_c$ probability of connectivity is directly proportional to the mean speed ${\mu}_{\nu}$ till specified threshold ${\mu}_{\tau}$, and decreases after ${\mu}_{\tau}$. Finally, the congested network is connected strongly as compared to the sparse network as shown in the simulation results.

A Study on the Relationship between Specialized Topics and Library Space Composition (특화주제와 도서관 공간구성의 관계에 관한 연구)

  • Kim, Yoon-Jeong;Noh, Younghee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.30 no.2
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    • pp.5-31
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    • 2019
  • As one of the challenges providing sufficient Social Overhead Capital (SOC), such as cultural and sports facilities, installing small libraries and remodeling old public libraries are crucial to provide local community a public space and specialized services. In order to achieve such objectives, those libraries need to designate special themes while operating and providing services. In this study, we sought to find the relationship between the specialized themes and the spatial composition of the library. For this purpose, we investigated the specialized themes, spaces, services, spatial composition of program, and external environment. Analysis results showed that those libraries need to coordinate various areas according to the respective themes as well as categorization for its specialization subjects in order to stimulate activities of the libraries and to increase the usage rates. In addition, we have identified that a variety of spaces, such as thematic experience zones, are needed to improve the libraries' performance.

Design and Implementation of The Vehicle Tracking Applications using Geospatial Query (공간 정보 질의를 이용한 차량 추적 애플리케이션의 설계 및 구현)

  • Ilham, Anugrah Moch;Jung, Jin-uk;Jin, Kyo-Hong;Hwang, Min-Tae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.6
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    • pp.637-644
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    • 2019
  • In recent years, many public safety systems in the smart city are developed. These systems are taking responsibility to make a safe and comfortable city. In this paper, we propose vehicle tracking systems include a public safety system that enables the policeman to track the stolen vehicles more efficiently by providing the vehicle information in real time. When a vehicle is stolen, the vehicle owner can send a user emergency request. Then, the public safety server which supported by a geospatial query technique will give information such as time, distance, and routes to a policeman who is closest to the location of the vehicle to catch the thief. 300 simulations were performed to evaluate the performance of the system. We found that the average of times required when vehicle owner send a user emergency message on user application until policeman obtain a vehicle tracking request on police application below 1.2 seconds.

Application of Dynamic Regulation to Increase L-Phenylalanine Production in Escherichia coli

  • Wu, Jie;Liu, Yongfei;Zhao, Sheng;Sun, Jibin;Jin, Zhaoxia;Zhang, Dawei
    • Journal of Microbiology and Biotechnology
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    • v.29 no.6
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    • pp.923-932
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    • 2019
  • Current strategies of strain improvement processes are mainly focused on enhancing the synthetic pathways of the products. However, excessive metabolic flux often creates metabolic imbalances, which lead to growth retardation and ultimately limit the yield of the product. To solve this problem, we applied a dynamic regulation strategy to produce $\text\tiny{L}$-phenylalanine ($\text\tiny{L}$-Phe) in Escherichia coli. First, we constructed a series of Phe-induced promoters that exhibited different strengths through modification of the promoter region of tyrP. Then, two engineered promoters were separately introduced into a Phe-producing strain xllp1 to dynamically control the expression level of one pathway enzyme AroK. Batch fermentation results of the strain xllp3 showed that the titer of Phe reached 61.3 g/l at 48 h, representing a titer of 1.36-fold of the strain xllp1 (45.0 g/l). Moreover, the $\text\tiny{L}$-Phe yields on glucose of xllp3 (0.22 g/g) were also greatly improved, with an increase of 1.22-fold in comparison with the xllp1 (0.18 g/g). In summary, we successfully improved the titer of Phe by using dynamic regulation of one key enzyme and this strategy can be applied for improving the performance of strains producing other aromatic amino acids and derived compounds.

Performance Analysis on Day Trading Strategy with Bid-Ask Volume (호가잔량정보를 이용한 데이트레이딩전략의 수익성 분석)

  • Kim, Sun Woong
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.36-46
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    • 2019
  • If stock market is efficient, any well-devised trading rule can't consistently outperform the average stock market returns. This study aims to verify whether the strategy based on bid-ask volume information can beat the stock market. I suggested a day trading strategy using order imbalance indicator and empirically analyzed its profitability with the KOSPI 200 index futures data from 2001 to 2018. Entry rules are as follows: If BSI is over 50%, enter buy order, otherwise enter sell order, assuming that stock price rises after BSI is over 50% and stock price falls after BSI is less than 50%. The empirical results showed that the suggested trading strategy generated very high trading profit, that is, its annual return runs to minimum 71% per annum even after the transaction costs. The profit was generated consistently during 18 years. This study also improved the suggested trading strategy applying the genetic algorithm, which may help the market practitioners who trade the KOSPI 200 index futures.