• Title/Summary/Keyword: Delivery Framework

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A Study on Tracking Method for Command and Control Framework Tools (명령 제어 프레임워크 (Command and Control Framework) 도구 추적 방안에 대한 연구)

  • Hyeok-Ju Gwon;Jin Kwak
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.5
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    • pp.721-736
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    • 2023
  • The Command and Control Framework was developed for penetration testing and education purposes, but threat actors such as cybercrime groups are abusing it. From a cyber threat hunting perspective, identifying Command and Control Framework servers as well as proactive responding such as blocking the server can contribute to risk management. Therefore, this paper proposes a methodology for tracking the Command and Control Framework in advance. The methodology consists of four steps: collecting a list of Command and Control Framework-related server, emulating staged delivery, extracting botnet configurations, and collecting certificates that feature is going to be extracted. Additionally, experiments are conducted by applying the proposed methodology to Cobalt Strike, a commercial Command and Control Framework. Collected beacons and certificate from the experiments are shared to establish a cyber threat response basis that could be caused from the Command and Control Framework.

Enhancing the Quality of Service by GBSO Splay Tree Routing Framework in Wireless Sensor Network

  • Majidha Fathima K. M.;M. Suganthi;N. Santhiyakumari
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.8
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    • pp.2188-2208
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    • 2023
  • Quality of Service (QoS) is a critical feature of Wireless Sensor Networks (WSNs) with routing algorithms. Data packets are moved between cluster heads with QoS using a number of energy-efficient routing techniques. However, sustaining high scalability while increasing the life of a WSN's networks scenario remains a challenging task. Thus, this research aims to develop an energy-balancing component that ensures equal energy consumption for all network sensors while offering flexible routing without congestion, even at peak hours. This research work proposes a Gravitational Blackhole Search Optimised splay tree routing framework. Based on the splay tree topology, the routing procedure is carried out by the suggested method using three distinct steps. Initially, the proposed GBSO decides the optimal route at initiation phases by choosing the root node with optimum energy in the splay tree. In the selection stage, the steps for energy update and trust update are completed by evaluating a novel reliance function utilising the Parent Reliance (PR) and Grand Parent Reliance (GPR). Finally, in the routing phase, using the fitness measure and the minimal distance, the GBSO algorithm determines the best route for data broadcast. The model results demonstrated the efficacy of the suggested technique with 99.52% packet delivery ratio, a minimum delay of 0.19 s, and a network lifetime of 1750 rounds with 200 nodes. Also, the comparative analysis ensured that the suggested algorithm surpasses the effectiveness of the existing algorithm in all aspects and guaranteed end-to-end delivery of packets.

Establishment and Application of a Comprehensive Business Model Framework : Focusing on Healthcare Business Models (포괄적 비즈니스 모델 프레임워크 구축 및 적용 : 헬스케어 비즈니스 모델을 중심으로)

  • Yeon, Younghee;Lee, Baekhee;Kim, Eunha;Park, Boyoung;You, Heecheon
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.6
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    • pp.530-539
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    • 2015
  • A business model (BM) can be developed based on a business model framework (BMF) consisting of key components such as value proposition, customers, and resources. To systematically generate and analyze emerging BMs such as healthcare BM, an integration of diverse BMF components is needed. The present study is to establish a comprehensive BMF and evaluate its applicability to healthcare BMs. Based on a review of eight BMF studies, ten BMF components were identified and classified into five major components (value proposition, resources, organizing model, customers, and revenue model) and five minor components (technology, service platform, delivery, competitive strategy, and growth/exit) by analyses of frequency and functional importance. Lastly, the BMs of three emerging healthcare companies (WellDoc, Inc., CFW Shops, and Aravind Eye Care System) were analyzed and compared in terms of the proposed BMF components. The comprehensive BMF components presented in the study can be of help for developing new BMs and analyzing the strengths and weaknesses of BMs.

Bottleneck Detection Framework Using Simulation in a Wafer FAB (시뮬레이션을 이용한 웨이퍼 FAB 공정에서의 병목 공정 탐지 프레임워크)

  • Yang, Karam;Chung, Yongho;Kim, Daewhan;Park, Sang Chul
    • Korean Journal of Computational Design and Engineering
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    • v.19 no.3
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    • pp.214-223
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    • 2014
  • This paper presents a bottleneck detection framework using simulation approach in a wafer FAB (Fabrication). In a semiconductor manufacturing industry, wafer FAB facility contains various equipment and dozens kinds of wafer products. The wafer FAB has many characteristics, such as re-entrant processing flow, batch tools. The performance of a complex manufacturing system (i.e. semiconductor wafer FAB) is mainly decided by a bottleneck. This paper defines the problem of a bottleneck process and propose a simulation based framework for bottleneck detection. The bottleneck is not the viewpoint of a machine, but the viewpoint of a step with the highest WIP in its upstream buffer and severe fluctuation. In this paper, focus on the classification of bottleneck steps and then verify the steps are not in a starvation state in last, regardless of dispatching rules. By the proposed framework of this paper, the performance of a wafer FAB is improved in on-time delivery and the mean of minimum of cycle time.

Rate-Controlled Data-Driven Real-Time Stream Processing for an Autonomous Machine (자율 기기를 위한 속도가 제어된 데이터 기반 실시간 스트림 프로세싱)

  • Noh, Soonhyun;Hong, Seongsoo;Kim, Myungsun
    • The Journal of Korea Robotics Society
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    • v.14 no.4
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    • pp.340-347
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    • 2019
  • Due to advances in machine intelligence and increased demands for autonomous machines, the complexity of the underlying software platform is increasing at a rapid pace, overwhelming the developers with implementation details. We attempt to ease the burden that falls onto the developers by creating a graphical programming framework we named Splash. Splash is designed to provide an effective programming abstraction for autonomous machines that require stream processing. It also enables programmers to specify genuine, end-to-end timing constraints, which the Splash framework automatically monitors for violation. By utilizing the timing constraints, Splash provides three key language semantics: timing semantics, in-order delivery semantics, and rate-controlled data-driven stream processing semantics. These three semantics together collectively serve as a conceptual tool that can hide low-level details from programmers, allowing developers to focus on the main logic of their applications. In this paper, we introduce the three-language semantics in detail and explain their function in association with Splash's language constructs. Furthermore, we present the internal workings of the Splash programming framework and validate its effectiveness via a lane keeping assist system.

Generation Y's Delivery Apps Choice Attributes and Their Consequences (Y세대의 배달앱 선택속성과 결과)

  • Lee, Jung-Won;Kim, Tea-Wan;Lee, Min-Jong;Lee, Sung-Hoon
    • The Korean Journal of Franchise Management
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    • v.9 no.1
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    • pp.27-39
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    • 2018
  • Purpose - Recently, the mobile application field has been receiving astronomical attention from the past few years due to the growing number of mobile app downloads and withal due to the revenues being engendered. Especially delivery apps by mobile service market is experiencing rapid growth and competition is intensifying. Therefore, delivery apps' choice attributes has become important as a strategy for survival of franchise firms. Based on previous studies, this research proposed the theoretical framework about the structural relationships among customer satisfaction, trust and revisit intention on delivery apps' choice attributes. Research design, data, and methodology - This study examines the structural relationship between choice attributes of using the delivery app, satisfaction, trust, and revisit intention. More specifically, this study has been examined from the perspective of Generation Y who is enjoying electronic commerce and shopping with mobile phone. In this model, choice attributes of delivery app consists of three sub-dimensions such as service quality, system quality, interaction quality. So as to test the purposes of this study, research model and hypotheses were developed. After excluding 24 invalid respondent questionnaires, 201 valid questionnaires were coded and analyzed using frequency, confirmatory factor analysis, correlations analysis, and structural equation modeling with SPSS 21 and SmartPLS 3.0. Result - The results of the study are as follows. First, service quality and interaction quality had positive effects on satisfaction, and interaction quality had positive effects on trust, but system quality did not have a significant effect on both satisfaction and trust. Second, satisfaction had positive effects on both trust and revisit intention. Third, trust had positive effects on revisit intention. Conclusions - The implications of this study are following as: From the theoretical perspective, this study confirms the effect of delivery apps' choice attributes on satisfaction, trust, and revisit intention. In addition, it is significant that we examined the influence of choice attributes of delivery apps on their attitudes and behaviors of Generation Y familiar with mobile environment. Through this study, we hypothesized that the attributes of service quality and interaction quality of delivery apps have a significant effect on customer satisfaction, and this can be expected to provide meaningful implications for the development of franchise restaurant industry. To encourage continuous repurchase through customer satisfaction, franchise companies need to establish various strategic alliances with delivery app companies and new growth engines by providing diverse and high-quality services to customers in the smart age.

Design of service delivery for a child obesity prevention and management program using technology convergence (융합기술 기반 어린이 비만 예방.관리 프로그램 전달체계 설계)

  • Hwang, Ji-Yun;Park, Mi-Young;Kim, Kirang;Lee, Sang Eun;Shim, Jae Eun
    • Journal of Nutrition and Health
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    • v.47 no.5
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    • pp.374-384
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    • 2014
  • Purpose: Health professionals and policy makers confront the failure of provider-administered, conventional behavioral interventions in the fight against obesity epidemic. The aim of this study was to develop a tailored, cost-effective delivery system for a child obesity prevention and management program through technology convergence using Web-enabled smart cellular phones. Methods: Assessment of service needs and development of a delivery system for the program were based on a comprehensive literature review and expert reviews, and results from in-depth interviews and a need-assessment survey. Results: The user- and site-centered service delivery system using Web-enabled cellular telephones as the hardware platform for obesity prevention and management has been developed. A tailored informational service and intervention will be provided interactively between stakeholders through the platform. The potential legal issues associated with the service design have also been considered. Conclusion: The user-centered convergence design and platform based on principles of Transtheoretical Model and Stages of Change using the Health Promoting School framework could enable effective intervention and promote acceptance in the long-run.

2D-Covalent organic frameworks for bioimaging and therapeutic applications

  • Chanho Park;Dong Wook Kim
    • Journal of Radiopharmaceuticals and Molecular Probes
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    • v.6 no.2
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    • pp.171-176
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    • 2020
  • Covalent organic frameworks (COFs) are porous crystalline polymers in which organic units are linked by covalent bonds and have a regular arrangement at the atomic level. Recently, the COFs have been much attention in bio-medical area such as bio-imaging, drug delivery, and therapeutics. These 2D nanoparticles are proving their value in nanomedicine due to their large surface area, functionalization through functional groups exposed on the surface, chemical stability due to covalent bonding, and high biocompatibility. The high ω-electron density and crystallinity of COFs makes it a promising candidate for bioimaging probes, and its porosity and large surface area make it possible to be utilized as a drug delivery vehicle. However, the low dispersibility in water, the cytotoxicity problems of COFs are still challenged to be solved in the future. In this regard, several efforts that increase the degree of dispersion through functionalization on the surface of COFs for the application to the biomedical field have been reported. In this review, we would like to describe the advantages and limitations of COFs for bio-imaging and anti-cancer treatment.

Optimal Design of Process-Inventory Network Considering Backordering Costs (역주문을 고려한 공정-저장조 망구조의 최적설계)

  • Yi, Gyeongbeom
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.7
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    • pp.750-755
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    • 2014
  • Product shortage which causes backordering and/or lost sales cost is very popular in chemical industries, especially in commodity polymer business. This study deals with backordering cost in the supply chain optimization model under the framework of process-inventory network. Classical economic order quantity model with backordering cost suggested optimal time delay and lot size of the final product delivery. Backordering can be compensated by advancing production/transportation of it or purchasing substitute product from third party as well as product delivery delay in supply chain network. Optimal solutions considering all means to recover shortage are more complicated than the classical one. We found three different solutions depending on parametric range and variable bounds. Optimal capacity of production/transportation processes associated with the product in backordering can be different from that when the product is not in backordering. The product shipping cycle time computed in this study was smaller than that optimized by the classical EOQ model.

Standardization of DRM Technologies in MPEG-21 (MPEG-21의 DRM 기술 표준화 현황 분석)

  • Jeong, Senator
    • Journal of Information Management
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    • v.35 no.2
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    • pp.107-130
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    • 2004
  • MPEG-21 is an open standard framework for creation, delivery and consumption of digital content in interoperable and rights-managed and protected way. Focusing on DRM technologies, this paper covers with concept and ongoing activities of MPEG-21's parts - Digital Item Declaration which is the base unit of trade and delivery, Digital Item Identification, Intellectual Property Management & Protection, Rights Data Dictionary, Rights Expression Language, Persistent Association Technology, Event Reporting, and so on.