• Title/Summary/Keyword: Two Agent

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The Effect of Interjection in Conversational Interaction with the AI Agent: In the Context of Self-Driving Car (인공지능 에이전트 대화형 인터랙션에서의 감탄사 효과: 자율주행 맥락에서)

  • Lee, Sooji;Seo, Jeeyoon;Choi, Junho
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.551-563
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    • 2022
  • This study aims to identify the effect on the user experiences when the embodied agent in a self-driving car interacts with emotional expressions by using 'interjection'. An experimental study was designed with two conditions: the inclusion of injections in the agent's conversation feedbacks (with interjections vs. without interjections) and the type of conversation (task-oriented conversation vs. social-oriented conversation). The online experiment was conducted with the four video clips of conversation scenario treatments and measured intimacy, likability, trust, social presence, perceived anthropomorphism, and future intention to use. The result showed that when the agent used interjection, the main effect on social presence was found in both conversation types. When the agent did not use interjection in the task-oriented conversation, trust and future intention to use were higher than when the agent talked with emotional expressions. In the context of the conversation with the AI agent in a self-driving car, we found only the effect of adding emotional expression by using interjection on the enhancing social presence, but no effect on the other user experience factors.

Enhanced Proteomic Analysis of Streptomyces peucetius Cytosolic Protein Using Optimized Protein Solubilization Protocol

  • Lee, Kwang-Won;Song, Eun-Jung;Kim, June-Hyung;Lee, Hei-Chan;Liou, Kwang-Kyoung;Sohng, Jae-Kyung;Kim, Byung-Gee
    • Journal of Microbiology and Biotechnology
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    • v.17 no.1
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    • pp.89-95
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    • 2007
  • Improvements in the dissolution of proteins in two-dimensional gel electrophoresis have greatly advanced the ability to analyze the proteomes of microorganisms under a wide variety of physiological conditions. This study examined the effect of various combinations of chaotropic agents, a reducing agent, and a detergent on the dissolution of the Streptomyces peucetius cytosolic proteins. The use of urea alone in a rehydration buffer as a chaotropic agent gave the proteome a higher solubility than any of the urea and thiourea combinations, and produced the highest resolution and clearest background in two-dimensional gel electrophoresis. Two % CHAPS, as a detergent in a rehydration buffer, improved the protein solubility. After examining the effect of several concentrations of reducing agent, 50 mM DTT in a rehydration buffer was found to be an optimal condition for the proteome analysis of Streptomyces. Using this optimized buffer condition, more than 2,000 distinct and differentially expressed soluble proteins could be resolved using two-dimensional gel electrophoresis with a pI ranging from 4-7. Under this optimized condition, 15 novel small proteins with low-level expression, which could not be analyzed under the non-optimized conditions, were identified. Overall, the optimized condition helped produce a better reference gel for Streptomyces peucetius.

Agent-Based Modeling Methodology for Close-Combat Attrition Estimates (Agent 기반 모델링에 의한 근접전투 손실예측 방법론)

  • Kim, Hee-Soo;Lee, Jae-Ho;Shin, Hyun-Ju
    • Journal of the military operations research society of Korea
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    • v.32 no.2
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    • pp.56-77
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    • 2006
  • This paper suggests more improved war-game modeling methodology for close combat attrition modeling. Military operation analysts have been using equation-based modeling techniques such as Lanchester-type differential equation modeling, for combat attrition evaluation. This modeling methodology is easy to analyze and evaluate the war-game simulation results but has several limitations to simulate the dynamic combat environment. To overcome these shortcomings, we propose the agent-based modeling methodology. This methodology is modeling close combat based in attrition behaviors instead of attrition coefficients. The simulation analysis & evaluation is executed for these two kinds of modeling methodology on the similar close combat situation.

Effects of Hydroxide and Silicate ions on the Plasma Electrolytic Oxidation of AZ31 Mg Alloy (AZ31 마그네슘 합금의 플라즈마전해산화 피막 형성에 미치는 수산화 이온 및 규산 이온의 영향)

  • Moon, Sungmo;Yang, Cheolnam;Na, Sangjo
    • Journal of the Korean institute of surface engineering
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    • v.47 no.4
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    • pp.147-154
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    • 2014
  • Formation behavior of PEO (Plasma Electrolytic Oxidation) films on AZ31 Mg alloy was studied in aqueous solutions containing various concentrations of hydroxide ion ($OH^-$) and silicate ion ($SiO_3{^{2-}}$) by voltage-time curves, and corrosion resistance of the PEO film-covered specimen was investigated by immersion test in 0.5 M NaCl solution. From the analyses of the voltage-time curves, it is suggested that two different types of anions are essentially needed for the formation of PEO films on AZ31 Mg alloy: film formation agent and local film breakdown agent. $SiO_3{^{2-}}$ ion acts only as a film formation agent but $OH^-$ ion acts not only as a film formation agent but also film breakdown agent. The PEO films prepared on AZ31 Mg alloy in alkaline silicate solution showed very good corrosion resistance without any pitting or filiform corrosions up to 480 h of immersion in 0.5 M NaCl.

Agent based real-time fault diagnosis simulation (에이젼트기반 실시간 고장진단 시뮬레이션기법)

  • 배용환;이석희;배태용;이형국
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.670-675
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    • 1994
  • Yhis paper describes a fault diagnosis simulation of the Real-Time Multiple Fault Dignosis System (RTMFDS) for forcasting faults in a system and deciding current machine state from signal information. Comparing with other diagnosis system for single fault,the system developed deals with multiple fault diagnosis,comprising two main parts. One is a remotesignal generating and transimission terminal and the other is a host system for fault diagnosis. Signal generator generate the random fault signal and the image information, and send this information to host. Host consists of various modules and agents such as Signal Processing Module(SPM) for sinal preprocessing, Performence Monotoring Module(PMM) for subsystem performance monitoring, Trigger Module(TM) for multi-triggering subsystem fault diagnosis, Subsystem Fault Diagnosis Agent(SFDA) for receiving trigger signal, formulating subsystem fault D\ulcornerB and initiating diagnosis, Fault Diagnosis Module(FDM) for simulating component fault with Hierarchical Artificial Neural Network (HANN), numerical models and Hofield network,Result Agent(RA) for receiving simulation result and sending to Treatment solver and Graphic Agent(GA). Each agent represents a separate process in UNIX operating system, information exchange and cooperation between agents was doen by IPC(Inter Process Communication : message queue, semaphore, signal, pipe). Numerical models are used to deseribe structure, function and behavior of total system, subsystems and their components. Hierarchical data structure for diagnosing the fault system is implemented by HANN. Signal generation and transmittion was performed on PC. As a host, SUN workstation with X-Windows(Motif)is used for graphic representation.

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A Study of Effects of Stock Option on Firm's Performance (주식매수선택권이 기업성과에 미친 영향에 대한 연구)

  • Shin, Yeon-Soo
    • The Journal of Information Technology
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    • v.9 no.4
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    • pp.75-85
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    • 2006
  • This study is to test the influence of stock option granting information on the firm's performance. The important issue in stock option is that agent cost is the important determinant factor for the long term performance. The agent cost arises between the manager and shareholders. So many study are concentrated in diminishing the agent cost, and develop some substitute tools to measure the agent cost. The event study about stock option analyzes returns around event date at a time. Event study provides estimation periods and cumulative returns. Announcements about stock option are generally associated with positive abnormal returns in short term period, but not showing positive effect in long term period. It is important to investigate the responses of stocks to new information contained in the announcements of stock option. Therefore it is important to study the long term performance in the case of stock option. The event time portfolio approach exists the CAR model, BHAR model and WR model. And the calendar time portfolio approach has the 3 factor model, 4 factor model, CTAR model, and RATS model. This study is forced to develop and arrange two approach method in evaluating the performance, the event time portfolio approach and calendar time portfolio approach.

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RK-270D and E, Oxindole Derivatives from Streptomyces sp. with Anti-Angiogenic Activity

  • Jang, Jun-Pil;Jang, Mina;Nogawa, Toshihiko;Takahashi, Shunji;Osada, Hiroyuki;Ahn, Jong Seog;Ko, Sung-Kyun;Jang, Jae-Hyuk
    • Journal of Microbiology and Biotechnology
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    • v.32 no.3
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    • pp.302-306
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    • 2022
  • A chemical investigation of a culture extract from Streptomyces sp. RK85-270 led to the isolation and characterization of two new oxindoles, RK-270D (1) and E (2). The structures of 1 and 2 were determined by analyzing spectroscopic and spectrometric data from 1D and 2D NMR and High-resolution electrospray ionization mass spectrometry (HRESIMS) experiments. Compound 1 exhibited anti-angiogenic activities against human umbilical vein endothelial cells (HUVECs) without cytotoxicity. Results of Western blot analysis revealed that 1 inhibits VEGF-induced angiogenesis in the HUVECs via VEGFR2/ p38 MAPK-mediated pathway.

Marketing to Competitors' Customers using Agent based Modelling and Simulation Driven Strategy

  • Beyari, Hasan
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.297-304
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    • 2021
  • In a duopoly situation, one firm can gain competitive advantage by attracting the price-sensitive customers from its competitor leading to higher profits through higher sale revenue for the competing company. A simulation study in which there are two electric car manufacturers with agent based modelling was conducted in order to verify this contention. The first step consisted of defining the baseline. Simulations of 1000 times and agent-based modelling were conducted with the assumption that company 1 reduced its price to the maximum of 20% thereby contributing to the switch-over of a maximum of 40% of the price sensitive customers of company 2. The results of 1000 simulations and agent-based modelling highlighted that price reduction by company 1 resulted in a significant increase in the number of customers, presumably due to switch-over from company 2 and there was a corresponding increase in revenues from both of the sales avenues. Thus, Company 1 achieved competitive advantage by marketing its cars to the customers of Company 2 using price reduction strategy to attract them. This study has ramifications for companies that aim to sway the price sensitive customers from a competitor.

Effect of Surface Area and Crystallinity of Amorphous Carbon Conductive Agent in SiOx Anode on the Performance of Lithium Ion Battery (리튬이온전지용 비정질 탄소 도전재의 표면적 및 흑연화도에 따른 SiOx 음극 활물질 특성 연구 )

  • Hyoung-Kyu Kang;Sung-Soo Kim
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.36 no.1
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    • pp.29-35
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    • 2023
  • Herein we investigated the effect of the conductive agent on the electrochemical performance of the SiOx anode. SiOx anodes have a relatively low volume expansion (~160%) compared to Pure-silicon, but have a problem in that they have a poor electrical conductivity characteristic. In this study, physical and electrochemical measurements were performed using two 0-dimensional amorphous carbon conductive agents with different crystallinity and surface area. The crystal structure of the conductive agents and the local graphitization degree were analyzed through XRD and Raman, and the surface area of the particles was observed through BET. In addition, the electrical performance according to the graphitization degree of the conductive agents was confirmed through a 4-point probe. As a result of the electrochemical cycle and rate performance, it was confirmed that the performance of SiOx using a conductive agent having a low graphitization degree and a high surface area was improved. The results in this study suggest that the graphitization degree and surface area of the amorphous carbon conductive agent may play an important role in the SiOx electrode.

Development of Prediction Model for Churn Agents -Comparing Prediction Accuracy Between Pattern Model and Matrix Model- (대리점 이탈예측모델 개발 - 동적모델(Pattern Model)과 정적모델(Matrix Model)의 예측적중률 비교 -)

  • An, Bong-Rak;Lee, Sae-Bom;Roh, In-Sung;Suh, Yung-Ho
    • Journal of Korean Society for Quality Management
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    • v.42 no.2
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    • pp.221-234
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    • 2014
  • Purpose: The Purpose of this study is to develop a model for predicting agent churn group in the cosmetics industry. We develope two models, pattern model and matrix model, which are compared regarding the prediction accuracy of churn agents. Finally, we try to conclude if there is statistically significant difference between two models by empirical study. Methods: We develop two models using the part of RFM(Recency, Frequency, Monetary) method which is one of customer segmentation method in traditional CRM study. In order to ensure which model can predict churn agents more precisely between two models, we used CRM data of cosmetics company A in China. Results: Pattern model and matrix model have been developed. we find out that there is statistically significant differences between two models regarding the prediction accuracy. Conclusion: Pattern model and matrix model predict churn agents. Although pattern model employed the trend of monetary mount for six months, matrix model that used the amount of sales per month and the duration of the employment is better than pattern model in prediction accuracy.