• Title/Summary/Keyword: Limited Memory

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Implementation of Reporting Tool Supporting OLAP and Data Mining Analysis Using XMLA (XMLA를 사용한 OLAP과 데이타 마이닝 분석이 가능한 리포팅 툴의 구현)

  • Choe, Jee-Woong;Kim, Myung-Ho
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.3
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    • pp.154-166
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    • 2009
  • Database query and reporting tools, OLAP tools and data mining tools are typical front-end tools in Business Intelligence environment which is able to support gathering, consolidating and analyzing data produced from business operation activities and provide access to the result to enterprise's users. Traditional reporting tools have an advantage of creating sophisticated dynamic reports including SQL query result sets, which look like documents produced by word processors, and publishing the reports to the Web environment, but data source for the tools is limited to RDBMS. On the other hand, OLAP tools and data mining tools have an advantage of providing powerful information analysis functions on each own way, but built-in visualization components for analysis results are limited to tables or some charts. Thus, this paper presents a system that integrates three typical front-end tools to complement one another for BI environment. Traditional reporting tools only have a query editor for generating SQL statements to bring data from RDBMS. However, the reporting tool presented by this paper can extract data also from OLAP and data mining servers, because editors for OLAP and data mining query requests are added into this tool. Traditional systems produce all documents in the server side. This structure enables reporting tools to avoid repetitive process to generate documents, when many clients intend to access the same dynamic document. But, because this system targets that a few users generate documents for data analysis, this tool generates documents at the client side. Therefore, the tool has a processing mechanism to deal with a number of data despite the limited memory capacity of the report viewer in the client side. Also, this reporting tool has data structure for integrating data from three kinds of data sources into one document. Finally, most of traditional front-end tools for BI are dependent on data source architecture from specific vendor. To overcome the problem, this system uses XMLA that is a protocol based on web service to access to data sources for OLAP and data mining services from various vendors.

A Study on GPU-based Iterative ML-EM Reconstruction Algorithm for Emission Computed Tomographic Imaging Systems (방출단층촬영 시스템을 위한 GPU 기반 반복적 기댓값 최대화 재구성 알고리즘 연구)

  • Ha, Woo-Seok;Kim, Soo-Mee;Park, Min-Jae;Lee, Dong-Soo;Lee, Jae-Sung
    • Nuclear Medicine and Molecular Imaging
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    • v.43 no.5
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    • pp.459-467
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    • 2009
  • Purpose: The maximum likelihood-expectation maximization (ML-EM) is the statistical reconstruction algorithm derived from probabilistic model of the emission and detection processes. Although the ML-EM has many advantages in accuracy and utility, the use of the ML-EM is limited due to the computational burden of iterating processing on a CPU (central processing unit). In this study, we developed a parallel computing technique on GPU (graphic processing unit) for ML-EM algorithm. Materials and Methods: Using Geforce 9800 GTX+ graphic card and CUDA (compute unified device architecture) the projection and backprojection in ML-EM algorithm were parallelized by NVIDIA's technology. The time delay on computations for projection, errors between measured and estimated data and backprojection in an iteration were measured. Total time included the latency in data transmission between RAM and GPU memory. Results: The total computation time of the CPU- and GPU-based ML-EM with 32 iterations were 3.83 and 0.26 see, respectively. In this case, the computing speed was improved about 15 times on GPU. When the number of iterations increased into 1024, the CPU- and GPU-based computing took totally 18 min and 8 see, respectively. The improvement was about 135 times and was caused by delay on CPU-based computing after certain iterations. On the other hand, the GPU-based computation provided very small variation on time delay per iteration due to use of shared memory. Conclusion: The GPU-based parallel computation for ML-EM improved significantly the computing speed and stability. The developed GPU-based ML-EM algorithm could be easily modified for some other imaging geometries.

Anti-stress effects of Herbal Acupuncture by Soyo-san on ovariectomized rats (소요산(逍遙散) 약침(藥鍼)이 난소적출 흰쥐의 항(抗)스트레스 작용(作用)에 미치는 영향(影響))

  • Oh, Seung-hee;Park, Hyun-jung;Hahm, Dae-hyun;Shim, In-sop;Lee, Hye-jung
    • Journal of Acupuncture Research
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    • v.22 no.1
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    • pp.117-130
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    • 2005
  • Objective : Generation after generation, by Oriental medicine literatures, Soyo-san has been used as a clinical prescription that is important to climacteric syndrome, and also has been used extensively to psyco-neurotic problems, melancholia and stress symptoms. The experimental study of Soyo-san's effect has been reported, but the effect of herbal acupuncture solution by Soyo-san is not reported yet. Thus the purpose of this experiment is to test whether Herbal acupuncture of Soyo-san have anti-stress or antidepressant effects in the menopause or not. Methods : Female Sprague-Dawley(240-260g) rats were used. Temperature controlled within $20-25^{\circ}C$. Water and food not limited, and Manipulated the day and night 12 hours each. In the experiment, enforced Morris water maze after immobilization stress for 5 minutes, and operating Herbal acupuncture of Soyo-san 30 minutes before stress every day during 7 days. Flowed through by 4% paraformaldehyde and fixed brain tissue after test of 7 days. Results : 1) As a result of the acquisition test, Soyo-san group was recognized by significant difference compared to Ovx group and the retention test Soyo-san group increased significantly compared to Sham and Ovx group. 2) Soyo-san group showed that the degree of revealation of Tyrosine hydroxylase decreased comparing to Ovx group in ventral tegmental area and that of Choline acetyltransferase increased comparing to Ovx group in CAI region of Hippocampus. Conclusion : As a result of this experiment to grasp those effects on postmenopausal depression or learing disability and memory disorder, the possibility of Herbal acupunture by Soyo-san is warranted as a suitable treatment to relieve women's monopausal depression and those of stress reaction, improving tearing disability and memory disorder.

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The study of stereoscopic editing process with applying depth information (깊이정보를 활용한 입체 편집 프로세스 연구)

  • Baek, Kwang-Ho;Kim, Min-Seo;Han, Myung-Hee
    • Journal of Digital Contents Society
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    • v.13 no.2
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    • pp.225-233
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    • 2012
  • The 3D stereoscopic image contents have been emerging as the blue chip of the contents market of the next generation since the . However, all the 3D contents created commercially in the country have failed to enter box office. It is because the quality of Korean 3D contents is much lower than that of overseas contents and also current 3D post production process is based on 2D. Considering all these facts, the 3D editing process has connection with the quality of contents. The current 3D editing processes of the production case of are using the way that edits with the system on basis of 2D, followed by checking with 3D display system and modifying, if there are any problems. In order to improve those conditions, I suggest that the 3D editing process contain more objectivity by visualizing the depth data applied in some composition work such as Disparity map, Depth map, and the current 3D editing process. The proposed process has been used in the music drama , comparing with those of the film . The 3D values could be checked among cuts which have been changed a lot since those of , while the 3D value of drew an equal result in general. Since the current process is based on an artist's subjective sense of 3D, it could be changed according to the condition and state of the artist. Furthermore, it is impossible for us to predict the positive range, so it is apprehended that the cubic effect of space might be perverted by showing each different 3D value according to cuts in the same space or a limited space. On the other hand, the objective 3D editing by applying the visualization of depth data can adjust itself to the cubic effect of the same space and the whole content equally, which will enrich the 3D contents. It will even be able to solve some problems such as distortion of cubic effect and visual fatigue, etc.

"Critical Application of Witness Commentaries: The Case of Guerrilla Warfare in the Korean War" ("증언자료의 비판적 활용 - 6.25전쟁 시기 유격대의 경우")

  • Cho, Sung Hun
    • The Korean Journal of Archival Studies
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    • no.12
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    • pp.137-178
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    • 2005
  • The anticommunist guerrillas' activities that aretheconcern of this article took place largely in North Korea or behind the enemy-held lines. Verifying their history is accordingly difficult and requires careful attention, but despite their active operations the military as well as the scholarly community have been lax in studying them. The Korean War came to be perceived as a traditional, limited war with regular battles, so that the studies addressed mostly the regular operations, and guerrilla warfare is remembered as an almost 'exclusive property' of the communist invaders; a small wonder that the anticommunist guerrillas have not been studied much and the collection of materials neglected. Therefore, in contrast with the witness accounts concerning regular battles, witness resources were of a small volume about these "patriots without the service numbers." For the above reasons the guerrilla participants and their later-organized fellowships took to the task of leaving records and compiling the histories of their units. They became active preservers of history in order to inform later generations of their works and also to secure deserved benefits from the government, in a world where none recognized their achievements. For instance, 4th Donkey Unit published witness accounts in addition to a unit history, and left video-recordings of guerrilla witnesses before any institute systematized the oral history of the guerrillas. In the case of Kyulsa ("Resolved to Die") Guerrilla Unit, the unit history was 10 times revised and expanded upon for publication, contributing substantially to the recovery of anticommunist guerrilla history which had almost totally lacked documented resources. Now because the guerrilla-related witness accounts were produced through fellowship societies and not individually, it often took the form of 'collective memory.' As a result, though thousands of former guerrillas remain surviving, the scarcity of numerous versions of, or perspectives upon, an event renders difficult an objective approach to the historical truth. Even requests to verify the service of a guerrilla member or to apply for decoration or government benefits for those killed in action, the process is taken care of not at the hands of the first party but the veteran society, so that a variety of opinions are not available for consideration. Moreover, some accounts were taken by American military personnel, and since some historians, unaware of official documents or evaluation of achievements, tended to center the records around their own units and especially to exaggerate the units' performances, they often featured factual errors. Thefollowing is the means to utilize positively the aforementioned type of witness accounts in military history research. It involves the active use of military historical detachments (MHD). As in the examples of those dispatched by the American forces during the Korean War, experts should be dispatched during, and not just after, wartimes. By considering and investigating the differences among various perspectives on the same historical event, even without extra documented resources it is possibleto arrive at theerrors or questionable points of the oral accounts, supplementing the additional accounts. Therefore any time lapses between witness accounts must be kept in consideration. Moreover when the oral accounts come from a group such as participants in the same guerrilla unit or operation, a standardized list of items ought to be put to use. Education in oral history is necessary not just for the training of experts. In America wherethefield sees much activity, it is used not only in college or graduate programs but also in elementary and lifetime educational processes. In comparison in our nation, and especially in historical disciplines, methodological insistence upon documented evidences prevails in the main, and in the fields of nationalist movement or modern history, oral accounts do not receive adequate attention. Like ancient documents and monuments, oral history also needs to be made a regular part of diverse resource materials at our academic institutes for history. Courses in memory and history, such as those in American colleges, are available possibilities.

Finding the time sensitive frequent itemsets based on data mining technique in data streams (데이터 스트림에서 데이터 마이닝 기법 기반의 시간을 고려한 상대적인 빈발항목 탐색)

  • Park, Tae-Su;Chun, Seok-Ju;Lee, Ju-Hong;Kang, Yun-Hee;Choi, Bum-Ghi
    • Journal of The Korean Association of Information Education
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    • v.9 no.3
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    • pp.453-462
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    • 2005
  • Recently, due to technical improvements of storage devices and networks, the amount of data increase rapidly. In addition, it is required to find the knowledge embedded in a data stream as fast as possible. Huge data in a data stream are created continuously and changed fast. Various algorithms for finding frequent itemsets in a data stream are actively proposed. Current researches do not offer appropriate method to find frequent itemsets in which flow of time is reflected but provide only frequent items using total aggregation values. In this paper we proposes a novel algorithm for finding the relative frequent itemsets according to the time in a data stream. We also propose the method to save frequent items and sub-frequent items in order to take limited memory into account and the method to update time variant frequent items. The performance of the proposed method is analyzed through a series of experiments. The proposed method can search both frequent itemsets and relative frequent itemsets only using the action patterns of the students at each time slot. Thus, our method can enhance the effectiveness of learning and make the best plan for individual learning.

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The Development and The Usability Evaluation of the Game using the Physical Interface of the Mobile Phone (모바일폰의 물리적 인터페이스를 활용한 게임개발 및 사용성 평가)

  • Kim, Mi-Jin;Song, Seung-Keun;Kim, Ki-Il
    • Journal of Korea Game Society
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    • v.9 no.2
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    • pp.13-22
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    • 2009
  • Recently, mobile games are developed as the various genre and form with the hardware performance improvement and communication network speed increase of the mobile phone. But it shows the limit of the game material to be developed, because the mobile game has to play by using only the keypad handing of the mobile phone. In this research, 'Flip On / Off interface' and 'Microphone interface' were developed in order to utilize the physical device of the mobile phone as the game interface. 'Flip On / Off interface' and 'Microphone interface' have the advantage that there is no need to purchase a device as an additional interface with utilizing the hardware of the mobile phone itself and the progressing of a game is smooth in comparison with the keypad method of the pre-existence mobile game because the interface waiting time for a call response is short. Moreover, by applying to a commercializing game, the developed interface tests, we confirmed an availability at the commercialization inspection standards on mobile phone without the heap memory deficiency phenomenon to be smooth of an operation. Furthermore, in the result of usability evaluation accessability, reliability, and aesthetics were rated as 'high'. The results of this research reveal that the interface environment of the mobile game limited to a keypad will be able to be made with diversification.

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Comparative Study of Commercial CFD Software Performance for Prediction of Reactor Internal Flow (원자로 내부유동 예측을 위한 상용 전산유체역학 소프트웨어 성능 비교 연구)

  • Lee, Gong Hee;Bang, Young Seok;Woo, Sweng Woong;Kim, Do Hyeong;Kang, Min Ku
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.37 no.12
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    • pp.1175-1183
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    • 2013
  • Even if some CFD software developers and its users think that a state-of-the-art CFD software can be used to reasonably solve at least single-phase nuclear reactor safety problems, there remain limitations and uncertainties in the calculation result. From a regulatory perspective, the Korea Institute of Nuclear Safety (KINS) is presently conducting the performance assessment of commercial CFD software for nuclear reactor safety problems. In this study, to examine the prediction performance of commercial CFD software with the porous model in the analysis of the scale-down APR (Advanced Power Reactor Plus) internal flow, a simulation was conducted with the on-board numerical models in ANSYS CFX R.14 and FLUENT R.14. It was concluded that depending on the CFD software, the internal flow distribution of the scale-down APR was locally somewhat different. Although there was a limitation in estimating the prediction performance of the commercial CFD software owing to the limited amount of measured data, CFX R.14 showed more reasonable prediction results in comparison with FLUENT R.14. Meanwhile, owing to the difference in discretization methodology, FLUENT R.14 required more computational memory than CFX R.14 for the same grid system. Therefore, the CFD software suitable to the available computational resource should be selected for massively parallel computations.

Comparison of Performance Between Incremental and Batch Learning Method for Information Analysis of Cyber Surveillance and Reconnaissance (사이버 감시정찰의 정보 분석에 적용되는 점진적 학습 방법과 일괄 학습 방법의 성능 비교)

  • Shin, Gyeong-Il;Yooun, Hosang;Shin, DongIl;Shin, DongKyoo
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.3
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    • pp.99-106
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    • 2018
  • In the process of acquiring information through the cyber ISR (Intelligence Surveillance Reconnaissance) and research into the agent to help decision-making, periodic communication between the C&C (Command and Control) server and the agent may not be possible. In this case, we have studied how to effectively surveillance and reconnaissance. Due to the network configuration, agents planted on infiltrated computers can not communicate seamlessly with C&C servers. In this case, the agent continues to collect data continuously, and in order to analyze the collected data within a short time in When communication is possible with the C&C server, it can utilize limited resources and time to continue its mission without being discovered. This research shows the superiority of incremental learning method over batch method through experiments. At an experiment with the restricted memory of 500 mega bytes, incremental learning method shows 10 times decrease in learning time. But at an experiment with the reuse of incorrectly classified data, the required time for relearn takes twice more.

Implementation of a Sensor Node with Convolutional Channel Coding Capability (컨벌루션 채널코딩 기능의 센서노드 구현)

  • Jin, Young Suk;Moon, Byung Hyun
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.1
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    • pp.13-18
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    • 2014
  • Sensor nodes are used for monitoring and collecting the environmental data via wireless sensor network. The wireless sensor network with various sensor nodes draws attention as a key technology in ubiquitous computing. Sensor nodes has very small memory capacity and limited power resource. Thus, it is essential to have energy efficient strategy for the sensor nodes. Since the sensor nodes are operating on the same frequency bands with ISM frequency bands, the interference by the devices operating on the ISM band degrades the quality of communication integrity. In this paper, the convolutional code is proposed instead of ARQ for the error control for the sensor network. The proposed convolutional code was implemented and the BER performance is measured. For the fixed transmitting powers of -19.2 dBm and -25dBm, the BER with various communication distances are measured. The packet loss rate and the retransmission rate are calculated from the measured BER. It is shown that the porposed method obtained about 9~12% and 12-19% reduction in retransmission rate for -19.2 dBm and -25 dBm respectively.