Recently, the amount of internet traffic is increasing due to the increase in speed and capacity of the network environment, and protocol data is increasing due to mobile, IoT, application, and malicious behavior. Most of these private protocols are unknown in structure. For efficient network management and security, analysis of the structure of private protocols must be performed. Many protocol reverse engineering methodologies have been proposed for this purpose, but there are disadvantages to applying them. In this paper, we propose a methodology for inferring a detailed protocol structure based on network trace analysis by hierarchically combining CSP (Contiguous Sequential Pattern) and SP (Sequential Pattern) Algorithm. The proposed methodology is designed and implemented in a way that improves the preceeding study, A2PRE, We describe performance index for comparing methodologies and demonstrate the superiority of the proposed methodology through the example of HTTP, DNS protocol.
Kim, Changgon;Ji, Tae-geun;Ahn, Hojae;Yang, Mingyeong;Lee, Sumin;Kim, Taeeun;Pak, Soojong;Konidaris, Nicholas P.;Drory, Niv;Froning, Cynthia S.;Hebert, Anthony;Bilgi, Pavan;Blanc, Guillermo A.;Lanz, Alicia E.;Hull, Charles L;Kollmeier, Juna A.;Ramirez, Solange;Wachter, Stefanie;Kreckel, Kathryn;Pellegrini, Eric;Almeida, Andr'es;Case, Scott;Zhelem, Ross;Feger, Tobias;Lawrence, Jon;Lesser, Michael;Herbst, Tom;Sanchez-Gallego, Jose;Bershady, Matthew A;Chattopadhyay, Sabyasachi;Hauser, Andrew;Smith, Michael;Wolf, Marsha J;Yan, Renbin
The Bulletin of The Korean Astronomical Society
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v.46
no.1
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pp.39.1-39.1
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2021
The Local Volume Mapper(LVM) project in the fifth iteration of the Sloan Digital Sky Survey (SDSS-V) will produce large integral-field spectroscopic survey data to understand the physical conditions of the interstellar medium in the Milky Way, the Magellanic Clouds, and other local-volume galaxies. We are developing the LVM Instrument control software. The architecture design of the software follows a hierarchical structure in which the high-level software packages interact with the low-level and mid-level software and hardware components. We adopt the spiral software development model in which the software evolves by iteration of sequential processes, i.e., software requirement analysis, design, code generation, and testing. This spiral model ensures that even after being commissioned, the software can be revised according to new operational requirements. We designed the software by using the Unified Modeling Language, which can visualize functional interactions in structure diagrams. We plan to use the SDSS software framework CLU for the interaction between components, based on the RabbitMQ that implemented the Advanced Message Queuing Protocol (AMQP).
By reviewing relatively recent theory of coercive control, which considers gender as a key concept to conceptualize domestic violence, this article explores battered women's experiences with police responses and institutional law enforcement. Using data and interviews from Korea Women's Hotline, this article analyzes the effects of state intervention which fails to support battered women and sends a message to the community that domestic violence is not such a serious crime. Specifically, this study found some problematic responses and attitudes of police and legal system: first, police is equating domestic violence with physical attacks or serious harms. Second, police and law enforcement personnel blame victims based on her gender performance or gender roles. Third, by individualizing the problem of domestic violence, state intervention ignores important structural factors that cause and perpetuate it. Finally, police and the justice system disempower and discourage battered women by exacerbating victim's fears and risks. Viewing domestic violence as a liberty crime, this study concludes that enhanced understanding of the nature of domestic violence only can contribute to solving the problem and protecting women's human rights.
Lee, Seon Min;Chun, Seungwoo;Joo, Young Hyuck;Yoo, Changjo
Asia Marketing Journal
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v.15
no.4
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pp.223-241
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2014
In May 2012, the collaboration of Hana Bank, top financial service company, and SK Planet, top telecommunication service provider, introduced a new credit card that was filled with all-in-one benefits into the market. Leveraging strong infrastructure of two companies, each top in its own industries, the awareness and preference of 'Club SK Card' brand rapidly increased to about 25% in less than one year. Moreover, this new card was enthroned in the most sold credit card of year 2012, accounting for a market share of 7.2% in the credit card market and more than 80% in the mobile credit card market. To make these results possible, 'Club SK Card' marketing team developed an effective marketing communication strategy which followed the 6M model. The mission of the marketing communication strategy was simple and clear. It was to deliver the card's inherent strengths on consumer benefits that come from the support of subsidiary and affiliated companies of SK Planet. According to OK Cashbag data, the marketing communication team selected the appropriate target consumers and approached them directly, inducing actual purchase behavior. The target consumers received straightforward messages about 'Club SK Card' and were led to join in the new membership at their most frequently visited supermarket or franchise restaurant. The straightforward communication message embedded in an eye-catching commercial ad with a hook song accompanied with a dance was delivered via public media. The ad became so popular that many other television programs quoted or made parodies of the ad. Courtesy of the commercial ad, the brand name disseminated rapidly and widely among the public. In October 2012, an ingenious planning and persistent implementation of the communication strategy results 'Club SK Card' to be ranked top in brand awareness as well as advertising preference tests.
It is a well-established theory that emotion is influential in cognitive processing. Extensive prior research on emotion has shown that emotional factors, such as affect, mood, and feeling, play as information indicating whether he or she has enough knowledge. Most of their findings focused on the effect of emotional valence (i.g., one's subjective positivity or negativity related with the emotion). Recently, several studies on emotion suggest that there is another dimension of emotion, which affects the type of cognitive processing. The studies argue that emotional certainty facilitates heuristic processing, whereas emotional uncertainty promotes systematic processing. Based on the findings, current study examines the effect of certainty on attitudes and recall. Specifically, the authors investigate the effect of certainty on how much effort individuals use to process advertising information and how certainty affects attitude formation toward the advertised product. The authors also focus on recall to clarify the working mechanism of certainty on attitudes, because recall performance reflects the depth of information processing. Based on previous findings, the authors hypothesize that uncertainty (vs. certainty) leads to more favorable attitudes as well as better recall, and conduct an experiment using a fictitious advertisement with 218 participants. The results confirm the predicted effects of certainty only on attitudes not recall. A possible explanation of this discrepancy between attitudes and recall lies in the measurement method, unaided recall. To rule out this possibility, the authors perform an additional analysis with the participants who recall any correct information of the target advertisement. The results show certainty has a negative effect on both attitudes and recall. A bootstrapping test reveals that recall mediates the effect of certainty on attitudes. This result confirms that certainty decreases elaboration, which in turn leads to less favorable attitudes relative to uncertainty. Additionally, our data shows the association among certainty, recall, and attitudes by showing the indirect effect of certainty on attitudes via recall. This research encourages practitioners in the field to emphasize that they should focus on target audiences' emotional certainty before they provide the persuasive message, by showing that uncertainty promotes effortful processing, which in turn leads to better memory and more favorable attitudes.
Galileo is a European Global Navigation Satellite System (GNSS) that has offered the Galileo Open Service since 2016. Consequently, the standardization of GNSS augmentation systems, such as Satellite Based Augmentation System (SBAS), Ground Based Augmentation System (GBAS), and Aircraft Based Augmentation System (ABAS) for Galileo signals, is ongoing. In 2023, the European Union Space Programme Agency (EUSPA) released prior probabilities of a satellite fault and a constellation fault for Galileo, which are 3×10-5 and 2×10-4 per hour, respectively. In particular, the prior probability of a Galileo constellation fault is significantly higher than that for the GPS constellation fault, which is defined as 1×10-8 per hour. This raised concerns about its potential impact on GBAS integrity monitoring. According to the Global Positioning System (GPS) Standard Positioning Service Performance Standard (SPS PS), a constellation fault is classified as a wide fault. A wide fault refers to a fault that affects more than two satellites due to a common cause. Such a fault can be caused by a failure in the Earth Orientation Parameter (EOP). The EOP is used when transforming the inertial axis, on which the orbit determination is based, to Earth Centered Earth Fixed (ECEF) axis, accounting for the irregularities in the rotation of the Earth. Therefore, a faulty EOP can introduce errors when computing a satellite position with respect to the ECEF axis. In GNSS, the ephemeris parameters are estimated based on the positions of satellites and are transmitted to navigation satellites. Subsequently, these ephemeris parameters are broadcasted via the navigation message to users. Therefore, a faulty EOP results in erroneous broadcast ephemeris data. In this paper, we assess the conventional ephemeris fault detection monitor currently employed in GBAS for wide faults, as current GBAS considers only single failure cases. In addition to the existing requirements defined in the standards on the Probability of Missed Detection (PMD), we derive a new PMD requirement tailored for a wide fault. The compliance of the current ephemeris monitor to the derived requirement is evaluated through a simulation. Our findings confirm that the conventional monitor meets the requirement even for wide fault scenarios.
Purpose - Ethical consumption is the action of buying one product over another with an ethical idea in mind. It has gained in popularity since the 1990s with more emphasis being put on the power of consumer actions to create social, economic, and environmental change. Ethical consumption involves boycotts of certain products or brands as well as purchases linked to ethical issues. Cause-related marketing (the buying behavior of ethical consumption) involves a for-profit and non-profit entity teaming up to promote a product at the same time as promoting a social cause. Each time a consumer buys that product, a donation is made by the for-profit entity to the non-profit entity supporting the specific cause. Cause-related marketing has become a tremendously popular type of ethical consumption in recent years owing to its reputation of allowing companies to "do well by doing good." This study examines how consumers' perception of cause and attitude influence their attitude toward a cause-related marketing campaign and attempts to suggest implications for marketers. Research design, data, and methodology - First, this study was designed to examine the consumers' perception factors (cause involvement, attitude for cause, attitude for company and brand familiarity) in order to determine whether these factors have significantly affected consumers' attitude toward a cause-related marketing campaign. Second, this study developed a structural equation model and tested it empirically using survey data from 223 individual respondents. Respondents were undergraduate students in Chungnam. They were shown an existing real campaign message of cause-related marketing, and then filled out a questionnaire. Data were analyzed with SPSS 20.0 and AMOS 17.0 programs. Results - The hypotheses were tested using factor analysis and structural equation modeling. The study's results showed that brand familiarity, attitude to the company and attitude to the cause significantly affected consumers' attitude toward the cause-related marketing campaign and performance. In particular, attitude to the cause was significantly related to attitude and performance of the cause-related marketing campaign. However, the hypothesis about cause involvement was not supported with the results indicating that cause involvement did not affect consumers' attitude toward the cause-related marketing campaign. The findings underline the importance of consumer perceptions of the cause and the company and their attitude to the cause. They point to the importance of individual differences that influence consumer perceptions of the cause, the company and brand familiarity. Also of importance is the consumer's attitude to the cause. Conclusions - The findings suggest some practical implications in designing and implementing cause-related marketing campaigns. It is important to enhance brand familiarity and create a favorable attitude to the company and attitude to the cause before designing cause-related marketing campaigns. The rising popularity of cause-related marketing has been attributed to its potential to cut through advertising clutter. The findings in this study suggest that marketing campaigns supporting a cause make a difference.
Recently data centric routing or application dependent routing protocols are emerged in mobile ad hoc networks. In this paper, we propose a routing method for query processing in MANET(Mobile Ad hoc NETwork) environment, called road-based query routing, with consideration on real time traffic information of large number of vehicles. In particular, we focus on the method that process arrival time dependent shortest path query in MANET without a central server on the road networks. The main idea of our approach lies in a routing message that includes query predicates based on the road connectivity and on data gathering method in real time from vehicles on the road by ad-hoc network. We unify route discovery phase and data delivery(query processing) phase in our mechanism and reduce unnecessary flooding messages by pruning mobile nodes which are not on the same or neighboring road segments. In order to evaluate the performances of the proposed method, we established a model of road networks and mobile nodes which travel along the roads. The measurement factor is the number of nodes to whom route request is propagated according to each pruning strategy. Simulation result shows that road information is a dominant factor to reduce the number of messages.
Background: Monitoring and control of PM2.5 are being recognized as key to address health issues attributed to PM2.5. Availability of low-cost PM2.5 sensors made it possible to introduce a number of portable PM2.5 monitors based on light scattering to the consumer market at an affordable price. Accuracy of light scatteringe-based PM2.5 monitors significantly depends on the method of calibration. Static calibration curve is used as the most popular calibration method for low-cost PM2.5 sensors particularly because of ease of application. Drawback in this approach is, however, the lack of accuracy. Methods: This study discussed the calibration of a low-cost PM2.5-monitoring device (PMD) to improve the accuracy and reliability for practical use. The proposed method is based on construction of the PM2.5 sensor network using Message Queuing Telemetry Transport (MQTT) protocol and web query of reference measurement data available at government-authorized PM monitoring station (GAMS) in the republic of Korea. Four machine learning (ML) algorithms such as support vector machine, k-nearest neighbors, random forest, and extreme gradient boosting were used as regression models to calibrate the PMD measurements of PM2.5. Performance of each ML algorithm was evaluated using stratified K-fold cross-validation, and a linear regression model was used as a reference. Results: Based on the performance of ML algorithms used, regression of the output of the PMD to PM2.5 concentrations data available from the GAMS through web query was effective. The extreme gradient boosting algorithm showed the best performance with a mean coefficient of determination (R2) of 0.78 and standard error of 5.0 ㎍/㎥, corresponding to 8% increase in R2 and 12% decrease in root mean square error in comparison with the linear regression model. Minimum 100 hours of calibration period was found required to calibrate the PMD to its full capacity. Calibration method proposed poses a limitation on the location of the PMD being in the vicinity of the GAMS. As the number of the PMD participating in the sensor network increases, however, calibrated PMDs can be used as reference devices to nearby PMDs that require calibration, forming a calibration chain through MQTT protocol. Conclusions: Calibration of a low-cost PMD, which is based on construction of PM2.5 sensor network using MQTT protocol and web query of reference measurement data available at a GAMS, significantly improves the accuracy and reliability of a PMD, thereby making practical use of the low-cost PMD possible.
Operating on its own to develop a system or based on the standard to setup and operating of RFID System. If you want to operate RFID system yourself then It is no problem to use its own to develop a system, but have to implementation RFID System based standard for the system integration and data linkage in multiple companies or base. In this paper, I propose an EPCIS Capturing Application of the element for applying an RFID-based EPC Network as an international civil standards organization EPCglobal. EPCIS Capturing Application generation is a message for transmission to EPCIS receives the data transmitted from the reader and middleware to serve to transfer the EPCIS. This paper also proposes Capture Interface capable of receiving the data of the equipment does not use the ALE Interface as a portable RFID reader ALE Interface, as well as used by the RFID reader to implement a fixed system for use in the field. In this paper, we propose a EPCIS Capturing Application for tracking the history RFID is applied to the finished product. It is possible to take advantage to be applied to all systems based on the EPCglobal standard through proposed the EPCIS Capturing Application.
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