• Title/Summary/Keyword: essential set

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A Study on trend analysis of information & communications and standardization direction (정보통신 동향 분석 및 표준화 방향)

  • Min, Jae-Hong;Cho, Pyung-Dong;Hahm, Jin-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.487-490
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    • 2011
  • As international standards of ICT were recently recognized as a essential strategy to penetrate into global markets in advance, the competition for international standardization among advanced countries and companies has been intensified. Also, the convergence of ICT and other industry as well as that of ICT and broadcasting has caused the expansion of range and importance in standardization. It is necessary to set up the strategy of standardization on essential technology and implement it systematically in order to take leading position in global market of IC in smart information society of the 21th century. Therefore, in this paper, I'll suggest constructive strategies of standardization through analyzing the trend and environment of IC standardization.

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Features Reduction using Logistic Regression for Spam Filtering (로지스틱 회귀 분석을 이용한 스펨 필터링의 특징 축소)

  • Jung, Yong-Gyu;Lee, Bum-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.2
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    • pp.13-18
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    • 2010
  • Today, The much amount of spam that occupies the mail server and network storage occurs the lack of negative issues, such as overload, and for users to delete the spam should spend time, resources have a problem. Automatic spam filtering on the incidence to solve the problem is essential. A lot of Spam filters have tried to solve the problem emerged as an essential element automatically. Unlike traditional method such as Naive Bayesian, PCA through the many-dimensional data set of spam with a few spindle-dimensional process that narrowed the operation to reduce the burden on certain groups for classification Logistic regression analysis method was used to filter the spam. Through the speed and performance, it was able to get the positive results.

Mitogen-activated $p70^{s6k}$ signalling pathway

  • Han, Jeung-Whan
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 1996.11a
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    • pp.135-139
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    • 1996
  • $p70^{s6k}$ lies on a $p21^{ras}$-independent signalling pathway and plays an important role in mitogenesis. Activation is associated with phosphorylation at multiple sites, four of which lie in an autoinhibitory region. The immunosuppressant rapamycin induces $p70^{s6k}$ inactivation through dephosphorylation of a second set of mitogen-induced sites. Here we identify these sites as $T_{229}$, $T_{389}$, and $S_{404}$. $T_{229}$ resides in the "T loop" of the catalytic domain, an essential phosphorylation site in other kinases. However, $p70^{s6k}$ inactivation by rapamycin most closely parallels $T_{389}$ dephosphorylation. Mutation of $T_{389}$ to alanine ablates kinase activity, whereas mutation to glutamic acid confers constitutive kinase activity and rapamycin resistance. indicating an essential role for phosphorylation at this site. $T_{389}$ resides in an unusual hydrophobic motif, not previously noted, between the catalytic and autoinhibitory domains. The importance of this site, and surrounding motif, is emphasized by its conservation in other kinases including homologues of $p70^{s6k}$ derived from such distantly related organisms as yeast and plant.

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Simple Identification of DNA Samples Using Multiplex PCR (다중 중합효소연쇄반응을 이용한 핵산시료의 동정방법)

  • Park, Hwa-Yong;Yu, Hyun-Joo
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.22 no.2
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    • pp.427-430
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    • 2008
  • Serious controls and cares using ID numbers and barcode needed throughly to have appropriate management in clinical tissues and nucleic acids inventories because these samples are the most essential and important materials in the experimental research laboratories. While almost all of the laboratories using and handling DNA samples as starting materials in their research, problems such as mixing up of two or more different samples together, contamination with other samples, and/or mistakes can occur, especially when it comes with large number of samples. These problems are rather frequent even though researchers pay more attentions to be far away from these obstacles. It has been such a long time since PCR became useful as an important and essential biological research tool among lots of bio-scientific research methods. In this research, we tried to set up a simple and cost-effective genotyping method using PCR and agarose gels, instead of expensive automated machines, for identification and discrimination among those DNA samples, as a kind of low level quality control and sample inventory management.

A Study on the Improvement of Marine Traffic System in the Ulsan Approaching Waters (울산항 접근수역의 항로지정에 관한 연구)

  • Jeong, Jae-Yong;Yoon, Dae-Gwun;Kim, Cheol-Seung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.16 no.2
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    • pp.209-214
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    • 2010
  • This study examined environmental condition, marine accidental data, marine traffic capacity and traffic flow, and fisheries zone status near Ulsan approaching water area. A questionnaire survey of marine traffic system was conducted on experts and users, and new plan was proposed. On the basis of the responses of experts and users to questionnaire, the essential factor of navigation danger and the essential factor of collision risk as well as the improvement plans were proposed. More efficient navigational fairway was set up through this study.

A Grey MCDM Based on DEMATEL Model for Real Estate Evaluation and Selection Problems: A Numerical Example

  • NGUYEN, Phi-Hung;TSAI, Jung-Fa;NGUYEN, Thanh-Tam;NGUYEN, Thi-Giang;VU, Dang-Duong
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.549-556
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    • 2020
  • Real estate markets play an essential role in the economic development of both developed and developing countries. Investment decisions in private real estate demand the consideration of several qualitative and quantitative criteria. Especially in Vietnam, demand for housing, apartments are rising which has resulted because of the migration from rural to urban areas. This study aims to determine the influencing factors of the real estate purchasing behavior and then recommend a grey Multi-Criteria Decision Making (MCDM) support model to evaluate real estate alternatives based on a numerical example in Vietnam. A set of essential criteria are identified based on experts' opinion, and the proposed determinants are initial investment, maintenance cost, prestige location, distance to interesting places, parking lot, public transportation, property condition, total area size, number of rooms, and neighbors. The subjective weights were obtained by using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) model, and the Grey Relational Analysis (GRA) technique is employed to prioritize and rank real estate alternatives. The results reveal that this approach can be useful to make purchasing decisions for many kinds of real estate property under uncertain business environments. These findings indicate that the presented hybrid model has advantages in granting flexibility to the preferences of decision makers.

Applying Hilbert-Huang Transform to Extract Essential Patterns from Hand Accelerometer Data (힐버트-황 변환에 통한 Hand Accelerometer 데이터의 핵심 패턴 추출)

  • Choe, Byeongseog;Suh, Jung-Yul
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.2
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    • pp.179-190
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    • 2017
  • Hand Accelerometers are widely used to detect human motion patterns in real-time. It is essential to reliably identify which type of activity is performed by human subjects. This rests on having accurate template of each activity. Many human activities are represented as a set of multiple time-series data from such sensors, which are mostly non-stationary and non-linear in nature. This requires a method which can effectively extract patterns from non-stationary and non-linear data. To achieve such a goal, we propose the method to apply Hilbert-Huang Transform which is known to be an effective way of extracting non-stationary and non-linear components from time-series data. It is applied on samples of accelerometer data to determine its effectiveness.

Essential technical and intellectual abilities for autonomous mobile service medical robots

  • Rogatkin, Dmitry A.;Velikanov, Evgeniy V.
    • Advances in robotics research
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    • v.2 no.1
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    • pp.59-68
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    • 2018
  • Autonomous mobile service medical robots (AMSMRs) are one of the promising developments in contemporary medical robotics. In this study, we consider the essential technical and intellectual abilities needed by AMSMRs. Based on expert analysis of the behavior exhibited by AMSMRs in clinics under basic scenarios, these robots can be classified as intellectual dynamic systems acting according to a situation in a multi-object and multi-agent environment. An AMSMR should identify different objects that define the presented territory (rooms and paths), different objects between and inside rooms (doors, tables, and beds, among others), and other robots. They should also identify the means for interacting with these objects, people and their speech, different information for communication, and small objects for transportation. These are included in the minimum set required to form the internal world model in an AMSMR. Recognizing door handles and opening doors are some of the most difficult problems for contemporary AMSMRs. The ability to recognize the meaning of human speech and actions and to assist them effectively are other problems that need solutions. These unresolved issues indicate that AMSMRs will need to pass through some learning and training programs before starting real work in hospitals.

A Novel Whale Optimized TGV-FCMS Segmentation with Modified LSTM Classification for Endometrium Cancer Prediction

  • T. Satya Kiranmai;P.V.Lakshmi
    • International Journal of Computer Science & Network Security
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    • v.23 no.5
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    • pp.53-64
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    • 2023
  • Early detection of endometrial carcinoma in uterus is essential for effective treatment. Endometrial carcinoma is the worst kind of endometrium cancer among the others since it is considerably more likely to affect the additional parts of the body if not detected and treated early. Non-invasive medical computer vision, also known as medical image processing, is becoming increasingly essential in the clinical diagnosis of various diseases. Such techniques provide a tool for automatic image processing, allowing for an accurate and timely assessment of the lesion. One of the most difficult aspects of developing an effective automatic categorization system is the absence of huge datasets. Using image processing and deep learning, this article presented an artificial endometrium cancer diagnosis system. The processes in this study include gathering a dermoscopy images from the database, preprocessing, segmentation using hybrid Fuzzy C-Means (FCM) and optimizing the weights using the Whale Optimization Algorithm (WOA). The characteristics of the damaged endometrium cells are retrieved using the feature extraction approach after the Magnetic Resonance pictures have been segmented. The collected characteristics are classified using a deep learning-based methodology called Long Short-Term Memory (LSTM) and Bi-directional LSTM classifiers. After using the publicly accessible data set, suggested classifiers obtain an accuracy of 97% and segmentation accuracy of 93%.

The evaluation for usefulness of the custom made immobilization device for the anteroperitoneal resection patients with rectal cancer (복 회음부 절제술 환자를 위한 고정용구 제작 및 유용성 평가)

  • Yang Oh Nam;Lee Woo Seok;Hong Tack Kyun;Jo Young Pil;Yun Hwa Ryong;Kim Jung Man
    • The Journal of Korean Society for Radiation Therapy
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    • v.15 no.1
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    • pp.61-65
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    • 2003
  • I. Purpose Patient immobilization is essential factor for successful radiation therapy and major problem is reproducibility to maintain patient position during total radiation therapy period. Purpose of this study is evaluation for usefulness of the custom made immobilization device for the anteroperitoneal resection patients with rectal cancer II. Materials and Methods The object of this study were patients who underwent anteroperitoneal resection and undergo radiation therapy at present with rectal cancer. We made immobilization device for patient individually and analyzed its set up reproducibility, patient position deviation and errors. III. Results There was $5mm{\sim}10mm$ deviation in patient position without individual immobilization device, but we improved the deviation within few mm limitation with individual immobilization device. IV. Conclusion Custom made immobilization device was very helpful for anteroperitoneal resection patient with rectal cancer. We improved the patient position deviation within few mm limitation, shorten the set up time and we could give the comfort to patients.

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