• Title/Summary/Keyword: Enhanced Artificial

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Swell Correction of Shallow Marine Seismic Reflection Data Using Genetic Algorithms

  • park, Sung-Hoon;Kong, Young-Sae;Kim, Hee-Joon;Lee, Byung-Gul
    • Journal of the korean society of oceanography
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    • v.32 no.4
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    • pp.163-170
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    • 1997
  • Some CMP gathers acquired from shallow marine seismic reflection survey in offshore Korea do not show the hyperbolic trend of moveout. It originated from so-called swell effect of source and streamer, which are towed under rough sea surface during the data acquisition. The observed time deviations of NMO-corrected traces can be entirely ascribed to the swell effect. To correct these time deviations, a residual statics is introduced using Genetic Algorithms (GA) into the swell correction. A new class of global optimization methods known as GA has recently been developed in the field of Artificial Intelligence and has a resemblance with the genetic evolution of biological systems. The basic idea in using GA as an optimization method is to represent a population of possible solutions or models in a chromosome-type encoding and manipulate these encoded models through simulated reproduction, crossover and mutation. GA parameters used in this paper are as follows: population size Q=40, probability of multiple-point crossover P$_c$=0.6, linear relationship of mutation probability P$_m$ from 0.002 to 0.004, and gray code representation are adopted. The number of the model participating in tournament selection (nt) is 3, and the number of expected copies desired for the best population member in the scaling of fitness is 1.5. With above parameters, an optimization run was iterated for 101 generations. The combination of above parameters are found to be optimal for the convergence of the algorithm. The resulting reflection events in every NMO-corrected CMP gather show good alignment and enhanced quality stack section.

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Artificial, All Too Natural: Synthetic Biology and Transhumanism in the Post-Genomic Era (인공적인, 너무나 자연적인: 포스트 게놈 시대 합성생물학과 트랜스휴머니즘)

  • Woo, Taemin;Park, Buhm Soon
    • Journal of Science and Technology Studies
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    • v.16 no.2
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    • pp.33-63
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    • 2016
  • This paper compares and contrasts the concept of nature and the theory of evolution held by leading synthetic biologists and transhumanists in the post-genomic era. Synthetic biology, which emerged in the early 2000s, aims to design biological systems that perform specific functions with the two key concepts of "rational design" and "directed evolution". However, synthetic biology has also raised serious concerns about the creation of man-made biological materials and the manipulation of the direction and speed of evolution. It is no wonder that transhumanists, who dream of creating new, enhanced human species, have welcomed the arrival of synthetic biology. How, then, can we deal with the nature reinvented by synthetic biology? By what means can one justify research that may affect the process of evolution? What intellectual resources do synthetic biology and transhumanism share in common? What influence would the new trend of commercialization of science and technology exert upon the development of synthetic biology? Addressing those questions, this paper argues that the moral authority of nature can be restored in this post-genomic era.

In vitro shoot initiation of Artocarpus heterophyllus Lam. (Jak Fruit) Effect of the explant type and the season of explant collection

  • Kahk, Kasturiarachchi;Wtpsk, Senarath;Lee, Kui-Jae
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2003.10a
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    • pp.9-18
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    • 2003
  • A method for rapid propagation of mature Jack fruit was developed. Four types of explants (mature embryos, apical meristems of young seedlings, apices from mature plants and nodal segments) were used. It has been found 88% of young apical meristems produced shoots in Campbell and Durzan (CD) medium compared to 60% in Murashige and Skoog (MS) medium. Only 1/3 of them produced multiple shoots. Shoot idtiation from nodal segments was very rare. Mature apices produced callus. Although removed of the sheathing cover around mature buds enhanced the shoot initiation but success rate was low in growth regulator free medium. Embryos respond to the CD medium but not to the MS medium. Embryos from seeds soaked in water for 24 hours produced shoots after 8 weeks of incubation and the success rate was 70% while embryos from dry seeds only produced roots. There was no significant effect of cold storage (refrigeration) for 7 days on shoot initiation from mature embryos (65%) but the ability for shoot induction declines with storage time (55% after 21 days of cold storage). Mature axillary buds were established in Modified Campbell and Durzan (CD) medium supplemented with 0.5mg/1 and IBA. There was a significant difference in the growth performance of shoots according to the period of the year in which explants were collected. Highest (60%) was observed in November-January period. It was only 30% when the explants were collected in February-April or May-July and decreased to 20% in August-October. The shoots produced in November-January showed a higher vigor than those produced in other months. Since Jak fruit show seasonal changes in fruit bearing and shedding of leaves, it can be suggested that the difference in growth performances of tissues cultured in artificial culture media would have been affected by endogenous rhythms.

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Kalman Filtering-based Traffic Prediction for Software Defined Intra-data Center Networks

  • Mbous, Jacques;Jiang, Tao;Tang, Ming;Fu, Songnian;Liu, Deming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.2964-2985
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    • 2019
  • Global data center IP traffic is expected to reach 20.6 zettabytes (ZB) by the end of 2021. Intra-data center networks (Intra-DCN) will account for 71.5% of the data center traffic flow and will be the largest portion of the traffic. The understanding of traffic distribution in IntraDCN is still sketchy. It causes significant amount of bandwidth to go unutilized, and creates avoidable choke points. Conventional transport protocols such as Optical Packet Switching (OPS) and Optical Burst Switching (OBS) allow a one-sided view of the traffic flow in the network. This therefore causes disjointed and uncoordinated decision-making at each node. For effective resource planning, there is the need to consider joining the distributed with centralized management which anticipates the system's needs and regulates the entire network. Methods derived from Kalman filters have proved effective in planning road networks. Considering the network available bandwidth as data transport highways, we propose an intelligent enhanced SDN concept applied to OBS architecture. A management plane (MP) is added to conventional control (CP) and data planes (DP). The MP assembles the traffic spatio-temporal parameters from ingress nodes, uses Kalman filtering prediction-based algorithm to estimate traffic demand. Prior to packets arrival at edges nodes, it regularly forwards updates of resources allocation to CPs. Simulations were done on a hybrid scheme (1+1) and on the centralized OBS. The results demonstrated that the proposition decreases the packet loss ratio. It also improves network latency and throughput-up to 84 and 51%, respectively, versus the traditional scheme.

Continuous force excited bridge dynamic test and structural flexibility identification theory

  • Zhou, Liming;Zhang, Jian
    • Structural Engineering and Mechanics
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    • v.71 no.4
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    • pp.391-405
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    • 2019
  • Compared to the ambient vibration test mainly identifying the structural modal parameters, such as frequency, damping and mode shapes, the impact testing, which benefits from measuring both impacting forces and structural responses, has the merit to identify not only the structural modal parameters but also more detailed structural parameters, in particular flexibility. However, in traditional impact tests, an impacting hammer or artificial excitation device is employed, which restricts the efficiency of tests on various bridge structures. To resolve this problem, we propose a new method whereby a moving vehicle is taken as a continuous exciter and develop a corresponding flexibility identification theory, in which the continuous wheel forces induced by the moving vehicle is considered as structural input and the acceleration response of the bridge as the output, thus a structural flexibility matrix can be identified and then structural deflections of the bridge under arbitrary static loads can be predicted. The proposed method is more convenient, time-saving and cost-effective compared with traditional impact tests. However, because the proposed test produces a spatially continuous force while classical impact forces are spatially discrete, a new flexibility identification theory is required, and a novel structural identification method involving with equivalent load distribution, the enhanced Frequency Response Function (eFRFs) construction and modal scaling factor identification is proposed to make use of the continuous excitation force to identify the basic modal parameters as well as the structural flexibility. Laboratory and numerical examples are given, which validate the effectiveness of the proposed method. Furthermore, parametric analysis including road roughness, vehicle speed, vehicle weight, vehicle's stiffness and damping are conducted and the results obtained demonstrate that the developed method has strong robustness except that the relative error increases with the increase of measurement noise.

Potential of watermelon (Citrullus lanatus) to maintain oxidative stability of rooster semen for artificial insemination

  • Jimoh, Olatunji Abubakar;Akinola, Micheal Olawale;Oyeyemi, Bolaji Fatai;Oyeyemi, Wahab Adekunle;Ayodele, Simeon Olugbenga;Omoniyi, Idowu Samuel;Okin-Aminu, Hafsat Ololade
    • Journal of Animal Science and Technology
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    • v.63 no.1
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    • pp.46-57
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    • 2021
  • Fruits with antioxidant enrichment can be an economically affordable supplement for mitigating oxidative damage prone spermatozoa membrane pathologies. Computer-assisted sperm analyzer and oxidative status were utilized to evaluate the impact of watermelon (Citrullus lanatus) fortification of dextrose saline as diluent for rooster semen and fertility response of hens inseminated. Watermelon juice and dextrose saline were used to formulate diluent of 7 treatments consisting of unextended semen (positive control), 10%, 20%, 30%, 40%, 50% and only dextrose saline (negative control) designated as Treatments 1-7. Pooled semen was obtained from fertile roosters and equilibrated with diluents at ratio 1:2 in the various treatments and were evaluated using computer software coupled microscope and seminal oxidative status assay. 168 laying hens randomly divided into 7 treatment of 8 replicates and 3 hen per replicate. Hen were everted, and semen (2 × 108 Spermatozoa) deposited intra-vagina and eggs collected over 8 weeks to assess fertility and hatchability of eggs laid. The result obtained revealed that watermelon-dextrose saline rooster semen diluent enhanced progressive motility, sperm kinetics and lowered non-progressive motility in T2-T6 compared to T7 over the 3 hours of evaluation. Watermelon addition to rooster semen diluent enhance the antioxidant capacity of rooster semen and lowered lipid peroxide generation. The percentage fertility was highest in T3 (81.01%) and T4 (81.24%) with lowest value obtained in T7 (73.46%). The hatchability of eggs set of hens inseminated with undiluted semen (71.46%) was lower than values for hens inseminated with watermelon inclusive extended semen (75.71%-80.39%). The optimal inclusion of 30%-40% watermelon in dextrose saline diluent enhance rooster semen kinetics, seminal oxidative stability and egg fertility.

Brain Correlates of Emotion for XR Auditory Content (XR 음향 콘텐츠 활용을 위한 감성-뇌연결성 분석 연구)

  • Park, Sangin;Kim, Jonghwa;Park, Soon Yong;Mun, Sungchul
    • Journal of Broadcast Engineering
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    • v.27 no.5
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    • pp.738-750
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    • 2022
  • In this study, we reviewed and discussed whether auditory stimuli with short length can evoke emotion-related neurological responses. The findings implicate that if personalized sound tracks are provided to XR users based on machine learning or probability network models, user experiences in XR environment can be enhanced. We also investigated that the arousal-relaxed factor evoked by short auditory sound can make distinct patterns in functional connectivity characterized from background EEG signals. We found that coherence in the right hemisphere increases in sound-evoked arousal state, and vice versa in relaxed state. Our findings can be practically utilized in developing XR sound bio-feedback system which can provide preference sound to users for highly immersive XR experiences.

Designing Reward Function for Cooperative Traffic Signal Control at Multi-intersection (다중 교차로에서 협동적 신호제어를 위한 보상함수 설계)

  • Bae, Yo-han;Jang, Jin-heon;Song, Moon-hyuk
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.110-113
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    • 2022
  • Nowadays, breaking through the conventional traffic signal control method based on mathematical optimization, artificial intelligence began to be used in the area. In response to this trend, many studies are ongoing to figure out how to utilize AI technology properly for traffic signal optimization. They just simply focus on which method will work well besides lots of machine learning techniques and abandon the reward function engineering. In many cases, the reward function consists of the average delay of the vehicles in the intersection. However, this may lead to AI's misunderstanding about the traffic signal control: what AI regards as a good situation may not be realistic. Even the reward function itself may not meet the service level. Therefore, this study analyzes the problems of previous reward functions and will suggest how to reward function can be enhanced.

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Implementation of a Mobile App for Companion Dog Training using AR and Hand Tracking (AR 및 Hand Tracking을 활용한 반려견 훈련 모바일 앱 구현)

  • Chul-Ho Choi;Sung-Wook Park;Se-Hoon Jung;Chun-Bo Sim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.5
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    • pp.927-934
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    • 2023
  • With the recent growth of the companion animal market, various social issues related to companion animals have also come to the forefront. Notable problems include incidents of dog bites, the challenge of managing abandoned companion animals, euthanasia, animal abuse, and more. As potential solutions, a variety of training programs such as companion animal-focused broadcasts and educational apps are being offered. However, these options might not be very effective for novice caretakers who are uncertain about what to prioritize in training. While training apps that are relatively easy to access have been widely distributed, apps that allow users to directly engage in training and learn through hands-on experience are still insufficient. In this paper, we propose a more efficient AR-based mobile app for companion animal training, utilizing the Unity engine. The results of usability evaluations indicated increased user engagement due to the inclusion of elements that were previously absent. Moreover, training immersion was enhanced, leading to improved learning outcomes. With further development and subsequent verification and production, we anticipate that this app could become an effective training tool for novice caretakers planning to adopt companion animals, as well as for experienced caretakers.

The Impacts of AI-enabled Search Services on Local Economy (AI 기반 장소 검색 서비스가 지역 경제에 미치는 영향에 대한 실증 연구)

  • Heejin Joo;Jeongmin Kim;Jeemahn Shin;Keongtae Kim;Gunwoong Lee
    • Information Systems Review
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    • v.23 no.3
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    • pp.77-96
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    • 2021
  • This research investigates the pivotal role of AI-enabled technologies in vitalizing the local economy. Collaborating with a leading search engine company, we examine the direct and indirect of an AI-based location search service on the success of sampled 7,035 local restaurants in Gangnam area in Seoul. We find that increased use of AI-enabled search and recommendation services significantly improved the selections of previously less-discovered or less-popular restaurants by users, and it also enhanced the stores' overall conversion rates. The main research findings have contributions to extant literature in theorizing the value of AI applications in local economy and have managerial implications for search businesses and local stores by recommending strategic use of AI applications in their businesses that are effective in highly competitive markets.