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NEAR-INFRARED VARIABILITY OF OPTICALLY BRIGHT TYPE 1 AGN (가시광에서 밝은 1형 활동은하핵의 근적외선 변광)

  • JEON, WOOYEOL;SHIM, HYUNJIN;KIM, MINJIN
    • Publications of The Korean Astronomical Society
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    • v.36 no.3
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    • pp.47-63
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    • 2021
  • Variability is one of the major characteristics of Active Galactic Nuclei (AGN), and it is used for understanding the energy generation mechanism in the center of AGN and/or related physical phenomena. It it known that there exists a time lag between AGN light curves simultaneously observed at different wavelengths, which can be used as a tool to estimate the size of the area that produce the radiation. In this paper, We present long term near-infrared variability of optically bright type 1 AGN using the Wide-field Infrared Survey Explorer data. From the Milliquas catalogue v6.4, 73 type 1 QSOs/AGN and 140 quasar candidates are selected that are brighter than 18 mag in optical and located within 5 degree around the ecliptic poles. Light curves in the W1 band (3.4 ㎛) and W2 band (4.6 ㎛) during the period of 2010-2019 were constructed for these objects by extracting multi-epoch photometry data from WISE and NEOWISE all sky survey database. Variability was analyzed based on the excess variance and the probability Pvar. Applying both criteria, the numbers of variable objects are 19 (i.e., 26%) for confirmed AGN and 12 (i.e., 9%) for AGN candidates. The characteristic time scale of the variability (τ) and the variability amplitude (σ) were derived by fitting the DRW model to W1 and W2 light curves. No significant correlation is found between the W1/W2 magnitude and the derived variability parameters. Based on the subsample that are identified in the X-ray source catalog, there exists little correlation between the X-ray luminosity and the variability parameters. We also found four AGN with changing W1-W2 color.

The Zhouyi and Artificial Intelligence (『주역』과 인공지능)

  • Bang, In
    • Journal of Korean Philosophical Society
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    • v.145
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    • pp.91-117
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    • 2018
  • This paper aims to clarify the similarities and differences between the Zhouyi and artificial intelligence. The divination of the Zhouyi is rooted in the oldest system of human knowledge, while artificial intelligence stands at the cutting edge of modern scientific revolution. At first sight, there does not appear to be any association that links the one to the another. However, they share the same ground as seen from a semiotic standpoint because both of them depend on the semiotic system as a means of obtaining knowledge. At least four aspects can be pointed out in terms of similarities. First, artificial intelligence and the Zhouyi use artificial language that consists of semiotic signs. Secondly, the principle that enables divination and artificial intelligence lies in imitation and representation. Thirdly, artificial intelligence and the Zhouyi carry out inferences based on mathematical algorithms that adopt the binary system. Fourth, artificial intelligence and the Zhouyi use analogy as a means of obtaining knowledge. However, those similarities do not guarantee that the Zhouyi could arrive at the scientific certainty. Nevertheless, it can give us important insight into the essence of our civilization. The Zhouyi uses intellect in order to get new information about the unknown world. However, it is hard to know what kind of intellect is involved in the process of divination. Likewise, we do not know the fundamental character of artificial intelligence. The intellect hidden in the unknown subject is a mystic and fearful existence to us. Just as the divination of the Zhouyi inspires the sense of reverence toward the supernatural subject, we could not but have fear in front of the invisible subject hidden in artificial intelligence. In the past, traditional philosophy acknowledged the existence of intellect only in conscious beings. Nonetheless, it becomes evident that human civilization ushers into a new epoch. As Ray Kurzweil mentioned, the moment of singularity comes when artificial intelligence surpasses human intelligence. In my viewpoint, the term of singularity can be used for denoting the critical point in which the human species enters into the new phase of civilization. To borrow the term of Shao Yong(邵雍) in the Northern Song Dynasty, the past civilization belongs to the Earlier Heaven(先天), the future civilization belongs to the Later Heaven(後天). Once our civilization passes over the critical point, it is impossible to go back into the past. The opening of the Later Heaven foretold by the religious thinkers in the late period of Joseon Dynasty was a prophecy in its own age, but it is becoming a reality in the present.

A Review on Monitoring Mt. Baekdu Volcano Using Space-based Remote Sensing Observations (인공위성 원격탐사를 이용한 백두산 화산 감시 연구 리뷰)

  • Hong, Sang-Hoon;Jang, Min-Jung;Jung, Seong-Woo;Park, Seo-Woo
    • Korean Journal of Remote Sensing
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    • v.34 no.6_4
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    • pp.1503-1517
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    • 2018
  • Mt. Baekdu is a stratovolcano located at the border between China and North Korea and is known to have formed through its differentiation stage after the Oligocene epoch in the Cenozoic era. There has been a growing interest in the magma re-activity of Mt. Baekdu volcano since 2010. Several research projects have been conducted by government such as Korea Meteorological Administration and Korea Institute of Geoscience and Mineral Resources. Because, however, the Mt. Baekdu volcano is located far from South Korea, it is quite difficult to collect in-situ observations by terrestrial equipment. Remote sensing is a science to analyze and interpret information without direct physical contact with a target object. Various types of platform such as automobile, unmanned aerial vehicle, aircraft and satellite can be used for carrying a payload. In the past several decades, numerous volcanic studies have been conducted by remotely sensed observations using wide spectrum of wavelength channels in electromagnetic waves. In particular, radar remote sensing has been widely used for volcano monitoring in that microwave channel can gather surface's information without less limitation like day and night or weather condition. Radar interferometric technique which utilized phase information of radar signal enables to estimate surface displacement such as volcano, earthquake, ground subsidence or glacial movement, etc. In 2018, long-term research project for collaborative observation for Mt. Baekdu volcano between Korea and China were selected by Korea government. A volcanic specialized research center has been established by the selected project. The purpose of this paper is to introduce about remote sensing techniques for volcano monitoring and to review selected studies with remote sensing techniques to monitor Mt. Baekdu volcano. The acquisition status of the archived observations of six synthetic aperture radar satellites which are in orbit now was investigated for application of radar interferometry to monitor Mt. Baekdu volcano. We will conduct a time-series analysis using collected synthetic aperture radar images.

A Study on Moltmann's Creationism and the Ecological Integrity of Christian Education (몰트만의 창조론과 기독교교육의 생태학적 통전성 고찰)

  • Lee, Hyangsoon
    • Journal of Christian Education in Korea
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    • v.70
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    • pp.107-140
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    • 2022
  • This study is a review of the role of Christian education in the face of ecological crisis and the task of its recovery from the perspective of Moltmann's creation theory. Mankind has achieved epoch-making industrial development through several industrial revolutions. However, as a result, the ecosystem has suffered severe physical aches and has reached the point of revealing anomalies. In the face of such destruction and suffering of the ecosystem, Christian education needs to approach the ecological sensitivity toward the natural world more holistically and present a practical alternative. Moltmann reminds us that today's growing exploitation of nature by humans stems from a human-centered ecological consciousness that the world belongs to humans. At the same time, it suggests a transition to a God-centered ecological world consciousness. 'A community of creation', 'the fellowship of the Triune God', and 'eschatological new creation through the Sabbath' are key concepts that integrate God-centered ecological world consciousness. Based on Moltmann's creation theory, this article examines the ecological sensibility that Christian education should pursue from the point of view of the sacramental creative community, and reviews the role and practical alternatives of Christian education. Through this, it was derived that the world, including humans, is not owned by humans, but is a sacramental community that is built together toward the end as a part of nature and reveals the glory of God. In addition, it was suggested that Christian education need to be recognized as a suffering subject which mediates humanity and the nature of the mutual fellowship of reconciliation. in the fellowship of God. Sabbath keeping education, which celebrates God's creation and aims for the completion of the eschatological creation, will become a practical area for Christian education to practice for the restoration of the collapsed ecosystem. Moltmann's creation theory is significant in that it provides a meaningful Christian educational insight to restore the ecological environment as well as interest in the ecological environment that has been overlooked or ignored by Christian education.

A Study on the Prospect of Implementing a Public Common Practice of Ethics Based upon the Reordering Works of Heaven and Earth (천지공사의 공공윤리 실천전망에 관한 연구)

  • Kim, Yong-Hwan
    • Journal of the Daesoon Academy of Sciences
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    • v.28
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    • pp.37-72
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    • 2017
  • The purpose of this article is to study the prospect of implementing a public common practice of ethics based on the 'Reordering Works of Heaven and Earth.' The 'Reordering Works of Heaven and Earth' demonstrated the prospect of a public common practice of ethics through the shared public action that would connect and mediate both the public domain and the private domain. In addition, the 'Reordering Works of Heaven and Earth' of Gucheon Sangje (九天上帝) provided us with a complete transformation, meaning the opening of a new era, transforming heaven and earth from their state in the Prior World to their optimized state in the Later World. This culminates in a new manifestation of a peaceful world revealed a prosperity and the prospect of common happiness and common order for the public. In addition, the 'Reordering Works of Heaven and Earth' has a public value as a religious culture that responds to social change and social needs. The 'Reordering Works of Heaven and Earth' revealed the prospect of a public common practice of ethics, placed importance on creating a new foundation, and restoring phenomena back to its original order. The 'Reordering Works of Heaven and Earth' presented various multi-faceted, multi-layered outlets of soteriology while exploring solutions to public issues and revealing human dignity. Through the new construction of Heaven and Earth, Gucheon Sangje had intervened in projects for human relief. The public ethical indicators of 'the actor' here are in line with those of the 'Non-action Tao' of Laozi. As the cosmos enters into the new epoch, humans have living together with the previous cosmic principle. Now we can expect the Prior World to open into a different era as humans embrace a cosmic life of 'Non-action Tao.' The active conjunction of the virtues of yin and yang is an idea of horizontal communication related to reordering of the universe. The harmonious union of divine beings and human beings suggests the way of enabling vertical communication. The resolution of grievances for the mutual beneficence of life is an ethics of peace that aims at achieving coexistence and prosperity. The private realization of Tao and the completion of the Tao in the world suggest the prospect of a common practice of ethics as means of implementing human dignity.

A Critical Study of the Legend on the Chinese Ancient Dynasty's Succession before Yao-Shun Era : Focusing on the Rongchengshi in the Shanghai Bowuguan zang Zhanguo Chuzhushu(II) (上海博物館蔵戦国楚竹書 《容成氏》 の古帝王帝位継承説話研究)

  • 李承律
    • Journal of the Daesoon Academy of Sciences
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    • v.17
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    • pp.197-225
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    • 2004
  • The respective history of the Chinese Ancient Dynasties from the era of the ancient Emperors to the revolutionary era of Yin-Zhou殷周 was described in the Rongchengshi容成氏, one of the texts in Shanghai Bowuguan zang Zhanguo Chuzhushu(II)上海博物館藏戰國楚竹書(二) discovered in 1994 at an antique market in Hong Kong. Drawn from the historical explanations expressed in it, the anonymous author's own views on history could be observed as largely being composed of 'resignation'禪讓, 'usurpation'簒奪, and 'banishment/smite'放伐. Following the advent of the recently excavated bamboo slips of Rongchengshi, a careful reconsideration is urgently needed to the established interpretation on the origin of the ritual of resignation in the relevant academic circles. Because it shows us that the ritual of resignation as a way of the succession, judging from my analysis, was already realized by Nine Emperors('Rongchengshi', Zunlushi尊盧氏, Hexushi赫胥氏, Gaoxinshi高辛氏, Cangjieshi倉頡氏, Xuanyuanshi軒轅氏, Shennongshi神農氏, 渾沌氏, and Baoxishi包羲氏 and maybe the more) before the era of 'Yao-Shun'堯舜. Accordingly, the aforementioned fact, which has never been elaborated in the previous texts including the first Chinese historiography Shiji史記, is the only peculiar feature to the Rongchengshi itself. Thus, a simple but empirically important question could be raised here: Was this way of description an exceptional case, even as unaccepted in Warring States Period at that time? If then, the Rongchengshi could not but help being evaluated merely as a buried historical texts, without any influence on the ancient Chinese, along with its author. The Chu bamboo slips Tangyu zhi dao唐虞之道 from Guodian Chujian郭店 excavated in 1993, however, has a very similar content to the Rongchengshi in relevance to the historical existence of the ritual of resignation. From the sentence, expressed in Tangyu zhi dao, that "the sudden rise of 'Six Emperors'六帝 was due to the practice of resignation like the period of Yao-Shun", it could be easily presumed that the 'Six Emperors' was closely connected to the 'Nine Emperors' and maybe the more at that time. Comparing with the related extant literary texts and the excavated materials in a vigorous way, in this paper, I explore four significant questions from a more critical stand to the conventional studies. First of all, I explicate the distinctiveness of the Rongchengshi as an academically very precious materials. Secondly, and closely related to the above, I evaluate its status or significance in the history of the Chinese ancient thoughts. And thirdly, I make an endeavor to trace back to the date of its transcription. Finally, and the most crucially, I attempt to show what Schools it was originated from and what connections it had with the Schools in the acient China. In sum, some concluding remarks, having somewhat insightful and significant implications for the further studies in these issues, could be drawn from my exploration. Viewing from the historical perspective of thoughts, at first, the legend of Ancient Dynasty's Succession before Yao-Shun Era in the Rongchengshi had some interactions directly and closely with Zhangzi莊子, Muzi墨子, Guanzi管子, Xunzi荀子 and Tangyu zhi dao. Also in doing search for the unification in a transitional epoch from the late to the end of the Warring States period, the political stand of Shi士 and Ke客 was reflected in it as well as in the Tangyu zhi dao because they actively wanted to suggest the most appropriate model of the Emperor or the idealistic succession process and political realms.

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The Establishment and Development of Wooden Coffin Tombs in the Jinhan and Byeonhan Confederacies: An Examination of the Wolseong-dong Type (진·변한 목관묘 문화의 성립과 전개 -월성동 유형의 검토와 함께)

  • Lee Donggwan
    • Bangmulgwan gwa yeongu (The National Museum of Korea Journal)
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    • v.1
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    • pp.150-173
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    • 2024
  • The Gyeongsang region experienced an epoch-making social transformation approximately around the second to first century BCE, including the replacement of Bronze Age types of tombs (such as dolmens, stone cist tombs, and earthen tombs with flat capstones) with clusters of wooden coffin tombs and the emergence of wajil pottery (soft stoneware) and ironware. These shifts in the archaeological material evidence have been discussed in the context of the formation of the states that comprised the three Han confederacies and in relation to wooden coffin tombs built in later periods. This paper explicates the appearance of clustered wooden coffin tombs with accompanying ironware by categorizing them. In particular, it examines the emergence of wooden coffin tombs by creating the Wolseong-dong type, which differs from Tomb No. 5 in Joyang-dong and Tomb No. 1 in Daho-ri with their deep burial pits and large quantities of prestige goods and soft stoneware items. The Wolseong-dong type of tomb commonly features ironware, including flat-bladed iron axes, oblong cast iron axes, iron wire, iron chisels, and iron swords; a small slender, rectangular wooden coffin tomb with a shallow burial pit of less than sixty centimeters; and pottery of a type preceding soft stoneware, such as long-necked jars, triangular attached-rim pottery bowls and pots, and mounted vessels. There are also a few bronzeware items found in them, but no prestige goods. This study scrutinizes tombs in Tamni-ri in Uiseong, Hagu-ri in Gyeongju, and Hakjeongdong in Daegu by comparing them with the Wolseong-dong type, and it confirms that in Sinseodong in Daegu, Wolseong-dong type tombs and later Joyang-dong type tombs have separate spatial distributions within the site. This also indicates that the Wolseong-dong type is a valid categorization among wooden coffin tombs. Although the rise of the Wolseong-dong type tomb is associated with the migration of a group, I reserve judgement on whether its origins should be understood in the context of the iron culture in the southwestern region of South Korea that was sparked by King Jun's advance to the south or if they lie in the western region of North Korea. Either way, the Wolseong-dong type is thought to be the tombs of a group of people with lower hierarchical status than the occupants of the later Joyang-dong type.

Automatic gasometer reading system using selective optical character recognition (관심 문자열 인식 기술을 이용한 가스계량기 자동 검침 시스템)

  • Lee, Kyohyuk;Kim, Taeyeon;Kim, Wooju
    • Journal of Intelligence and Information Systems
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    • v.26 no.2
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    • pp.1-25
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    • 2020
  • In this paper, we suggest an application system architecture which provides accurate, fast and efficient automatic gasometer reading function. The system captures gasometer image using mobile device camera, transmits the image to a cloud server on top of private LTE network, and analyzes the image to extract character information of device ID and gas usage amount by selective optical character recognition based on deep learning technology. In general, there are many types of character in an image and optical character recognition technology extracts all character information in an image. But some applications need to ignore non-of-interest types of character and only have to focus on some specific types of characters. For an example of the application, automatic gasometer reading system only need to extract device ID and gas usage amount character information from gasometer images to send bill to users. Non-of-interest character strings, such as device type, manufacturer, manufacturing date, specification and etc., are not valuable information to the application. Thus, the application have to analyze point of interest region and specific types of characters to extract valuable information only. We adopted CNN (Convolutional Neural Network) based object detection and CRNN (Convolutional Recurrent Neural Network) technology for selective optical character recognition which only analyze point of interest region for selective character information extraction. We build up 3 neural networks for the application system. The first is a convolutional neural network which detects point of interest region of gas usage amount and device ID information character strings, the second is another convolutional neural network which transforms spatial information of point of interest region to spatial sequential feature vectors, and the third is bi-directional long short term memory network which converts spatial sequential information to character strings using time-series analysis mapping from feature vectors to character strings. In this research, point of interest character strings are device ID and gas usage amount. Device ID consists of 12 arabic character strings and gas usage amount consists of 4 ~ 5 arabic character strings. All system components are implemented in Amazon Web Service Cloud with Intel Zeon E5-2686 v4 CPU and NVidia TESLA V100 GPU. The system architecture adopts master-lave processing structure for efficient and fast parallel processing coping with about 700,000 requests per day. Mobile device captures gasometer image and transmits to master process in AWS cloud. Master process runs on Intel Zeon CPU and pushes reading request from mobile device to an input queue with FIFO (First In First Out) structure. Slave process consists of 3 types of deep neural networks which conduct character recognition process and runs on NVidia GPU module. Slave process is always polling the input queue to get recognition request. If there are some requests from master process in the input queue, slave process converts the image in the input queue to device ID character string, gas usage amount character string and position information of the strings, returns the information to output queue, and switch to idle mode to poll the input queue. Master process gets final information form the output queue and delivers the information to the mobile device. We used total 27,120 gasometer images for training, validation and testing of 3 types of deep neural network. 22,985 images were used for training and validation, 4,135 images were used for testing. We randomly splitted 22,985 images with 8:2 ratio for training and validation respectively for each training epoch. 4,135 test image were categorized into 5 types (Normal, noise, reflex, scale and slant). Normal data is clean image data, noise means image with noise signal, relfex means image with light reflection in gasometer region, scale means images with small object size due to long-distance capturing and slant means images which is not horizontally flat. Final character string recognition accuracies for device ID and gas usage amount of normal data are 0.960 and 0.864 respectively.

A Deep Learning Based Approach to Recognizing Accompanying Status of Smartphone Users Using Multimodal Data (스마트폰 다종 데이터를 활용한 딥러닝 기반의 사용자 동행 상태 인식)

  • Kim, Kilho;Choi, Sangwoo;Chae, Moon-jung;Park, Heewoong;Lee, Jaehong;Park, Jonghun
    • Journal of Intelligence and Information Systems
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    • v.25 no.1
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    • pp.163-177
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    • 2019
  • As smartphones are getting widely used, human activity recognition (HAR) tasks for recognizing personal activities of smartphone users with multimodal data have been actively studied recently. The research area is expanding from the recognition of the simple body movement of an individual user to the recognition of low-level behavior and high-level behavior. However, HAR tasks for recognizing interaction behavior with other people, such as whether the user is accompanying or communicating with someone else, have gotten less attention so far. And previous research for recognizing interaction behavior has usually depended on audio, Bluetooth, and Wi-Fi sensors, which are vulnerable to privacy issues and require much time to collect enough data. Whereas physical sensors including accelerometer, magnetic field and gyroscope sensors are less vulnerable to privacy issues and can collect a large amount of data within a short time. In this paper, a method for detecting accompanying status based on deep learning model by only using multimodal physical sensor data, such as an accelerometer, magnetic field and gyroscope, was proposed. The accompanying status was defined as a redefinition of a part of the user interaction behavior, including whether the user is accompanying with an acquaintance at a close distance and the user is actively communicating with the acquaintance. A framework based on convolutional neural networks (CNN) and long short-term memory (LSTM) recurrent networks for classifying accompanying and conversation was proposed. First, a data preprocessing method which consists of time synchronization of multimodal data from different physical sensors, data normalization and sequence data generation was introduced. We applied the nearest interpolation to synchronize the time of collected data from different sensors. Normalization was performed for each x, y, z axis value of the sensor data, and the sequence data was generated according to the sliding window method. Then, the sequence data became the input for CNN, where feature maps representing local dependencies of the original sequence are extracted. The CNN consisted of 3 convolutional layers and did not have a pooling layer to maintain the temporal information of the sequence data. Next, LSTM recurrent networks received the feature maps, learned long-term dependencies from them and extracted features. The LSTM recurrent networks consisted of two layers, each with 128 cells. Finally, the extracted features were used for classification by softmax classifier. The loss function of the model was cross entropy function and the weights of the model were randomly initialized on a normal distribution with an average of 0 and a standard deviation of 0.1. The model was trained using adaptive moment estimation (ADAM) optimization algorithm and the mini batch size was set to 128. We applied dropout to input values of the LSTM recurrent networks to prevent overfitting. The initial learning rate was set to 0.001, and it decreased exponentially by 0.99 at the end of each epoch training. An Android smartphone application was developed and released to collect data. We collected smartphone data for a total of 18 subjects. Using the data, the model classified accompanying and conversation by 98.74% and 98.83% accuracy each. Both the F1 score and accuracy of the model were higher than the F1 score and accuracy of the majority vote classifier, support vector machine, and deep recurrent neural network. In the future research, we will focus on more rigorous multimodal sensor data synchronization methods that minimize the time stamp differences. In addition, we will further study transfer learning method that enables transfer of trained models tailored to the training data to the evaluation data that follows a different distribution. It is expected that a model capable of exhibiting robust recognition performance against changes in data that is not considered in the model learning stage will be obtained.