• ETRI Journal
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• v.43 no.4
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• pp.702-716
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• 2021

This work proposes suitable network configurations for single frequency networks (SFNs) with ATSC 1.0 based on network coverage calculations and the laboratory multipath handling performance of commercial receivers. SFNs are widely used for delivering terrestrial digital television services because of their efficient use of the spectrum. In Mexico the analogue television transmissions switch-off occurred on 31 December 2016. Thus it is expected the adopted ATSC 1.0 system will be in force for the next several years despite the recent standardization of the ATSC 3.0 system. As ATSC 1.0 uses 8-VSB modulation the multipath handling capability of receivers is critical for the design of SFNs. The presented network planning results help develop technical normativity for implementing SFNs in Mexico and other countries that use ATSC 1.0. SFNs with transmitter separation up to 130 km are fully covered for outdoor reception mainly due to the directivity of the receiving antenna. Moreover for indoor reception at least 70% of an SFN coverage area can be achieved with a transmitter separation of up to 60 km depending on the radiated power and the transmitter antenna height.

• Asia pacific journal of information systems
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• v.29 no.1
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• pp.35-49
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• 2019

The paper attempts to document the application of relevant Machine Learning (ML) models on Yelp (a crowd-sourced local business review and social networking site) dataset to analyze, predict and recommend business. Strategically using two cloud platforms to minimize the effort and time required for this project. Seven machine learning algorithms in Azure ML of which four algorithms are implemented in Databricks Spark ML. The analyzed Yelp business dataset contained 70 business attributes for more than 350,000 registered business. Additionally, review tips and likes from 500,000 users have been processed for the project. A Recommendation Model is built to provide Yelp users with recommendations for business categories based on their previous business ratings, as well as the business ratings of other users. Classification Model is implemented to predict the popularity of the business as defining the popular business to have stars greater than 3 and unpopular business to have stars less than 3. Text Analysis model is developed by comparing two algorithms, uni-gram feature extraction and n-feature extraction in Azure ML studio and logistic regression model in Spark. Comparative conclusions have been made related to efficiency of Spark ML and Azure ML for these models.

• Journal of KIISE:Information Networking
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• v.30 no.2
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• pp.270-281
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• 2003

ETF made the RFCs of MPLS technologies for providing the QoS of ATM or Frame Relay and the flexibility&scalability of IP on the Internet services. IETF has been expanding MPLS technologies as a common control component for supporting the various switching technologies called GMPLS. Also, IETF has standardized the signaling protocols based on such technologies, such as LDP, CR-LDP and RSVP-TE. ETRI developed the MPLS system based on ATM switch in order to provide more reliable services, differentiated services and value-added services like the VPN and traffic engineering service on the Korea Public Sector network. We are planning on deploying model services and commercial services on that network. This paper explains the basic functions of LDP, design and development of LDP on our system, and compares with LDP development and operation on other MPLS systems made by Cisco, Juniper, Nortel and Riverstone. In conclusion, this paper deduces the future services and applications by LDP through these explanation and comparison.

• Journal of Communications and Networks
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• v.11 no.6
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• pp.544-555
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• 2009

This work continues a trend of developments aimed at exploiting the physical layer of the open systems interconnection (OSI) model to enhance wireless network security. The goal is to augment activity occurring across other OSI layers and provide improved safeguards against unauthorized access. Relative to intrusion detection and anti-spoofing, this paper provides details for a proof-of-concept investigation involving "air monitor" applications where physical equipment constraints are not overly restrictive. In this case, RF fingerprinting is emerging as a viable security measure for providing device-specific identification (manufacturer, model, and/or serial number). RF fingerprint features can be extracted from various regions of collected bursts, the detection of which has been extensively researched. Given reliable burst detection, the near-term challenge is to find robust fingerprint features to improve device distinguishability. This is addressed here using wavelet domain (WD) RF fingerprinting based on dual-tree complex wavelet transform (DT-$\mathbb{C}WT$) features extracted from the non-transient preamble response of OFDM-based 802.11a signals. Intra-manufacturer classification performance is evaluated using four like-model Cisco devices with dissimilar serial numbers. WD fingerprinting effectiveness is demonstrated using Fisher-based multiple discriminant analysis (MDA) with maximum likelihood (ML) classification. The effects of varying channel SNR, burst detection error and dissimilar SNRs for MDA/ML training and classification are considered. Relative to time domain (TD) RF fingerprinting, WD fingerprinting with DT-$\mathbb{C}WT$ features emerged as the superior alternative for all scenarios at SNRs below 20 dB while achieving performance gains of up to 8 dB at 80% classification accuracy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.5
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• pp.2310-2345
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• 2017

With the emergence of the Internet of Things (IoT) the world is projecting towards a scenario where every object in the world (including humans) acts as a sender and receiver of data and if we were to see that concept mature we would soon be talking of billions more users of the cloud networks. The cloud technology is a very apt alternative to permanent storage when it comes to bulk storage and reporting. It has however shown weaknesses concerning real-time data accessibility and processing. The bandwidth availability of the cloud networks is limited and combined with the highly centralized storage structure and geographical vastness of the network in terms of distance from the end user the cloud just does not seem like a friendly environment for real-time IOT data. This paper aims at highlighting the importance of Flavio Bonomi's idea of Fog Computing which has been glamorized and marketed by Cisco but has not yet been given a proper service architecture that would explain how it would be used in terms of various service models i-e IaaS, PaaS and SaaS, of the Cloud. The main contribution of the paper would be models for IaaS, PaaS and SaaS for Fog environments. The paper would conclude by highlighting the importance of the presented models and giving a consolidated overview of how they would work. It would also calculate the respective latencies for fog and cloud to prove that our models would work. We have used CloudSim and iFogSim to show the effectiveness of the paradigm shift from traditional cloud architecture to our Fog architecture.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.603-620
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• 2012

Proxy Mobile IPv6 (PMIPv6) is a network-based mobility support protocol and it does not require Mobile Nodes (MNs) to be involved in the mobility support signaling. In the case when multiple interfaces are active in an MN simultaneously, each data flow can be dynamically allocated to and redirected between different access networks to adapt to the dynamically changing network status and to balance the workload. Such a flow redistribution control is called "flow mobility". In the existing PMIPv6-based flow mobility support, although the MN's logical interface can solve the well-known problems of flow mobility in a heterogeneous network, some missing procedures, such as an MN-derived flow handover, make PMIPv6-based flow mobility incomplete. In this paper, an enhanced flow mobility support is proposed for actualizing the flow mobility support in PMIPv6. The proposed scheme is also based on the MN's logical interface, which hides the physical interfaces from the network layer and above. As new functional modules, the flow interface manager is placed at the MN's logical interface and the flow binding manager in the Local Mobility Anchor (LMA) is paired with the MN's flow interface manager. They manage the flow bindings, and select the proper access technology to send packets. In this paper, we provide the complete flow mobility procedures which begin with the following three different triggering cases: the MN's new connection/disconnection, the LMA's decision, and the MN's request. Simulation using the ns-3 network simulator is performed to verify the proposed procedures and we show the network throughput variation caused by the network offload using the proposed procedures.

• The Journal of Internal Korean Medicine
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• v.41 no.6
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• pp.984-992
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• 2020

Objectives: This survey research was conducted to evaluate real-time non-face-to-face education in clinical Korean medicine conducted during the COVID-19 outbreak. Methods: This study was conducted with all 3rd and 4th grade students of the Department of Korean Medicine, Gachon University. The Korean Internal Medicine (Pulmonary) lecture course was held from April 1st to July 1st, 2020 for one semester. The lectures were conducted through real-time non-face-to-face education using the Cisco Webex program, and the lectures were mainly conducted by sharing a PowerPoint summarizing textbook. The questionnaire consisted of 3 parts and a total of 18 questions. The survey was conducted anonymously to ensure the confidentiality of all responses. Results: The overall score for real-time non-face-to-face education was 74.69±18.15 points. The efficiency of real-time non-face-to-face education was 2.12±0.78 points, and opinions on the expansion of future use were 2.08±0.91 points and were generally positive. The ratio of non-face-to-face education and face-to-face education in future clinical Korean medicine theory lectures was about 63:27, with a higher proportion of non-face-to-face education. Conclusions: Promoting clinical Korean medicine as a non-face-to-face education has generally been positively evaluated in terms of efficiency and overall, and its use should be expanded in the future. In particular, it will be necessary to use non-face-to-face education in the theory classes of clinical Korean medicine. However, technical problems involving internet, video, equipment, and communication tools will need to be improved in the future.

• Journal of KIISE:Databases
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• v.31 no.5
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• pp.468-478
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• 2004

It is essential in various application areas of data mining and bioinformatics to effectively retrieve the occurrences of interesting patterns from sequence databases. For example, let's consider a network event management system that records the types and timestamp values of events occurred in a specific network component(ex. router). The typical query to find out the temporal casual relationships among the network events is as fellows: 'Find all occurrences of CiscoDCDLinkUp that are fellowed by MLMStatusUP that are subsequently followed by TCPConnectionClose, under the constraint that the interval between the first two events is not larger than 20 seconds, and the interval between the first and third events is not larger than 40 secondsTCPConnectionClose. This paper proposes an indexing method that enables to efficiently answer such a query. Unlike the previous methods that rely on inefficient sequential scan methods or data structures not easily supported by DBMSs, the proposed method uses a multi-dimensional spatial index, which is proven to be efficient both in storage and search, to find the answers quickly without false dismissals. Given a sliding window W, the input to a multi-dimensional spatial index is a n-dimensional vector whose i-th element is the interval between the first event of W and the first occurrence of the event type Ei in W. Here, n is the number of event types that can be occurred in the system of interest. The problem of‘dimensionality curse’may happen when n is large. Therefore, we use the dimension selection or event type grouping to avoid this problem. The experimental results reveal that our proposed technique can be a few orders of magnitude faster than the sequential scan and ISO-Depth index methods.hods.

• 한국정보통신설비학회:학술대회논문집
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• 2004.08a
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• pp.282-290
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• 2004

80년대 초반에 등장한 퍼스널 컴퓨터에서부터 90년대에 급격히 확산된 클라이언트/서버 환경에 이르기까지 분산 컴퓨팅은 관리가 어렵다고 증명되었다. IBM의 Tivoli나 HP의 OpenView 등을 포함한 거대한 엔터프라이즈 관리 시스템 산업이 이러한 표면상의 극복하기 힘든 법칙처럼 여겨지는 것이 그 증거라고 하겠다. 이 후 무선의 개념이 등장했다. NOP World Technology가 Cisco사를 위해 2001년에 시행한 조사에 의하면 최종 사용자는 무선랜을 사용함으로써 생산성이 최고 22% 향상되었고 조사대상의 63%가 일상적인 직무에서 정확도가 향상되었다. 이 모든 것은 투자대비수익(ROI) 계산상 사용자 당 $550 해당한다. 현재 이동성과 IT 관리 기능의 딜레마를 동시에 고려하며 저렴한 몇몇 솔루션들이 소개되고 있다. 본 논문에서는 분산 컴퓨팅의 다음 진화 단계인 무선 네트워킹과 관련된 문제를 해결할 수 있는 혁신적이고 전체적인 접근법을 소개한다. 본 논문에서는 무선 컴퓨팅과 보안의 본질 및 무선랜이라는 새로운 컴퓨팅 패러다임으로 인하여 파생되는 운영과 관리의 어려움을 소개한다. 이러한 환경이 정의되면 본 논문은 이해하기 쉬운 5x5 레이어 매트릭스를 바탕으로 각 레이어의 독특한 본질을 고려한 혁신적인 무선랜 관리 방법에 대해 설명한다. 마지막으로 무선 네트워킹, 컨버젼스, 궁극적으로 분산 컴퓨팅만이 가지는 문제점을 해결할 수 있는 Red-M의 백 오피스 애플리케이션에 기반한 솔루션을 소개한다. 본 논문의 목표는 Red-M의 성공에 관한 두 가지 중요한 과정을 설명하고자 함이다. 이는 안전한 무선 네트워크 제어에서 비롯되는 무선 환경이 약속하는 장점들을 고루 제공하는 것과 나쁜 의도의 사용자를 차단할 뿐 아니라 올바른 사용자와 또한 나머지 일반 사용자를 총체적으로 관리할 수 있는, 안정적이고 확장 가능하며 직관적인 시스템을 제공하는 것이다.가 생성된다. $M_{C}$에 CaC $l_2$를 첨가한 경우 $M_{C}$는 완전히 $M_{Cl}$ 로 전이를 하였다. $M_{Cl}$ 에 CaC $l_2$를 첨가하였을 경우에는 아무런 수화물의 변화는 발생하지 않았다. 따라서 CaS $O_4$.2$H_2O$를 CaC $O_3$및 CaC $l_2$와 반응시켰을 때의 AFm상의 안정성 순서는 $M_{S}$ < $M_{C}$< $M_{Cl}$ 로 된다.phy. Finally, Regional Development and Regional Environmental Problems were highly correlated with accommodators.젼 공정을 거쳐 제조된다는 점을 고려할 때 이용가능한 에너지 함량계산에 직접 활용될 수는 없을 것이다.총단백질 및 AST에서 시간경과에 따른 삼투압 조절 능력에 문제가 있는 것으로 보여진다.c}C$에서 5시간 가열조리 후 잔존율은 각각 84.7% 및 73.3%였고, 질소가스 통기하에서는 잔존율이 88.9% 및 81.8%로 더욱 안정하였다.8% 및 12.44%, 201일 이상의 경우 13.17% 및 11.30%로 201일 이상의 유기의 경우에만 대조구와 삭제 구간에 유의적인(p<0.05) 차이를 나타내었다.는 담수(淡水)에서 10%o의 해수(海水)로 이주된지 14일(日) 이후에 신장(腎臟)에서 수축된 것으로 나타났다. 30%o의 해수(海水)에 적응(適應)된 틸라피아의 평균 신사구체(腎絲球體)의 면적은 담수(淡水)에 적응된 개체의 면적보다 유의성있게 나타났다. 해수(海水)에 적응(適應)된 틸라피아의 신단위(腎

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.12
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• pp.20-29
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• 2014

Recently, LTE is preparing to make a new leap forward LTE-A all over the world. As LTE privides high speed service, the role of mobile phones seems to change from voice to data service. According to Cisco, global mobile data traffic will increase nearly 11-fold between 2013 and 2018. Mobile video traffic will reach 75% by 2018 from 66% in 2013 in Korea. However, voice service is still the most important role of mobile phones. Thus, controllability of throughput and low BLER is indispensable for high-quality VoIP service among various type of traffic. Although the maximum AMR-WB, 23.85 Kbps is sufficient to a VoIP call, it is difficult for the LTE which can provide tens to hundreds of MB/s may not keep the certain level VoIP QoS especially in the cell-edge area. This paper proposes a new scheduling algorithm in order to improve VoIP performance after analyzing various scheduling algorithms. The proposal is the technology which applies more priority processing for VoIP than other applications in cell-edge area based on two-tier scheduling algorithm. The simulation result shows the improvement of VoIP performance in the view point of throughput and BLER.