• Information Systems Review
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• v.14 no.2
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• pp.65-92
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• 2012

Smart work, which is defined as work performed at home, satellite offices or with the smart devices to continually collaborate with the co-workers in anytime, anywhere using IT, is attracting much attention as an alternative work way to cope with the demographical changes of the low fertility and aging. Whereas some implementation cases of smart work have been considered as the success, the other cases have been reported as the failure to implement smart work practices. Nevertheless, there are few researches to identify the reasons of successful ways to adopting smart work. This study integrated the IT-based changes with the smart work practices to identify the critical success factors of smart work in individual, organization and industry levels. As the results, we found out the expected values of introduction, core elements of implementation, and industry characteristics to efficient adoption for smart work. Also, this study compared these evidences with the incumbent smart work policies. The contributions of this study is to develop the guideline to adopting smart work, the smart work implementation strategy and the improvement on the business process.

• Information Systems Review
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• v.9 no.2
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• pp.15-39
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• 2007

Mobile games have emerged as the most innovative entertainment technology, adding new revenue streams, taking advantage of the potential of wireless applications and service offerings. Mobile games, like any other types of computer game, offer a unique value for users in providing an exciting digital experience in virtual worlds. In this paper, we attempt to investigate the demographic factors which play critical roles in determining the level of playing times; classify mobile gamers based on their motives for playing games; and empirically test differences in their demographic factors and mobile game usage. Statistical results show that significant differences in playing times exist, depending upon their age, gender, mobile device, mobile phone usage, mobile game experiences, and preferred games genres. Applying Factor analysis, we have identified Escape, Social interaction, Challenge and Competition, Fantasy, Diversion and Relaxation, Ease of Accessibility as key motivators for playing mobile games. Additional cluster analysis shows that the categorization of gamers, according to their usage habits and the key motivators for playing, can be made as follows: Multi-gamers, Communication-focused gamers and Mobile active-gamers. Further correlation of these grouping with socio-economic data shows the significant differences in gaming habits and patterns of mobile phone use.

• Asia pacific journal of information systems
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• v.19 no.1
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• pp.63-82
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• 2009

Virtual community is a social aggregation to attain some goals in an IT-supported virtual space (Lee et al., 2002). As lots of virtual communities generate robust and reliable outputs with low control and low incentive, previous researchers was interested in the questions, "why do they participate?" or "how are they controlled?". But. as Katz (1964) said, the most important part of the high-performing organization is the behaviors of members in the organization. Therefore, this research is to examine the relationship between the performance and the behaviors of participants in the virtual community. First, we propose 6 types of behaviors related to high performance in the virtual community: 'Continuous Attendance', 'Complying with the organizational value, policies, and regulations', 'Protection', 'Suggestion for the improving', 'Self-training', and 'Favorable behavior'. The six types of behaviors are extracted from the framework of Katz (1964) and Brief and Motowidlo (1986). The reason why each behavior is positively related with high-performance is that those who continuously attend have more responsibility than temporary participants do; complying with the rules of a virtual community means that they may make more reliable outcome; 'Protection' is one of the prosocial-behaviors and those who protect the community may concern the benefit of the virtual community when they participate: those who suggest some ideas for improvement may contribute to the virtual community; 'Self-training' behavior means that participants really want to have high quality in their contribution: those who have 'Favorable attitude' consider other members in the virtual community when they participate. Then, we perform an empirical analysis with the survey from participants in the Knowledge service of Naver.com, to show those behaviors are associated with the high-performance. To make the measurement for the six behaviors, we use CVR (content validity ratio) method (Lawshe, 1975), interviewing 12 experts. The dependent variable, performance of participation, is measured by 'ratio of selected answer' given by the Naver.com. We use email survey. We sent 1200 emails to randomly selected participants in the knowledge service and received 282 responses. The results of our empirical analysis show that 4('Continuous Attendance', 'Suggestion for the improving', 'Self-training', 'Favorable attitude') are positively related to the performance, but 2('Complying with the organizational value, policies, and regulations' and 'Protection') are not significant. In line with Fitzgerald (2006), we expect that participants in the virtual community may behave similarly to employees in the off-line firms for the high performance. But 2 behaviors have different results. The reason that the 'Complying with the organizational value' behavior is not sufficiently related to performance is that the motivation of participants is more related to intrinsic pleasure or altruism than external reward. Also, the 'Protection' behavior has no significant relationship with performance, which means that the high-performing participants have little concern about the problems in the community.

• Research in Plant Disease
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• v.13 no.3
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• pp.223-227
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• 2007

Lichen is a symbiotic association which lichen-forming fungi associate with green algae or cyanobacteria capable of producing food by photosynthesis. Lichen is one of the most widely distributed eukaryotic organisms on every kind of surface of soils, rocks and trees. Lichen-forming fungi commonly colonize on the surface of barks of dead or dying trees, which they use merely as a means of support without parasitizing. Lichen consortium of Parmotrema autrosinense and several crustose lichens heavily colonized on the surface of P. mume in Suncheon, Jeonnam province in Korea. The lichen consortium on the surface of P. mume gave the affected trees a dull gray appearance and suppressed their normal growths. Severely affected twigs or branches resulted in the death when the lichen thalli were not rubbed off the barks of P. mume. Twigs or branches of P. mume were recovered from blight syndrome when the lichen thalli were rubbed off, The recovered twigs or branches became healthy and clean when $Tween^{(R)}$ 20 or thiophanate-methyl paste were treated on the barks of P. mume. This is the first report of lichen diseases on P. mume caused by colonization of consortium of several crustose lichens including P. autrosinense.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.18 no.6
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• pp.642-653
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• 2008

This study deals with modeling of head-related transfer functions(HRTFs) using principal components analysis(PCA) in the time and frequency domains. Four PCA models based on head-related impulse responses(HRIRs), complex-valued HRTFs, augmented HRTFs, and log-magnitudes of HRTFs are investigated. The objective of this study is to compare modeling performances of the PCA models in the least-squares sense and to show the theoretical relationship between the PCA models. In terms of the number of principal components needed for modeling, the PCA model based on HRIR or augmented HRTFs showed more efficient modeling performance than the PCA model based on complex-valued HRTFs. The PCA model based on HRIRs in the time domain and that based on augmented HRTFs in the frequency domain are shown to be theoretically equivalent. Modeling performance of the PCA model based on log-magnitudes of HRTFs cannot be compared with that of other PCA models because the PCA model deals with log-scaled magnitude components only, whereas the other PCA models consider both magnitude and phase components in linear scale.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.25 no.5
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• pp.321-328
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• 2015

In recent years, there has been an increasing demand to apply the new IACS(International Association of Classification Societies) standards for ice and polar-classed ships. For ice-class vessel propulsion system, the ice impact torque design criterion is defined as a periodic harmonic function in relation to the number of the propeller blades. However, irregular or transient ice impact torque is assumed to occur likely in actual circumstances rather than these periodic loadings. In this paper, the reliability and torsional vibration characteristics of a comparatively large six-cylinder marine diesel engine for propulsion shafting system was examined and reviewed in accordance with current regulations. In this particular, the transient ice impact torque and excessive vibratory torque originating from diesel engine were interpreted and the resonant points identified through theoretical analysis. Several floating ice impacts were carried out to evaluate torque responses using the calculation method of classification rule requirement. The Newmark method was used for the transient response analysis of the whole system.

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.21-31
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• 2018

Cyber penetration attacks can not only damage cyber space but can attack entire infrastructure such as electricity, gas, water, and nuclear power, which can cause enormous damage to the lives of the people. Also, cyber space has already been defined as the fifth battlefield, and strategic responses are very important. Most of recent cyber attacks are caused by malicious code, and since the number is more than 1.6 million per day, automated analysis technology to cope with a large amount of malicious code is very important. However, it is difficult to deal with malicious code encryption, obfuscation and packing, and the dynamic analysis technique is not limited to the performance requirements of dynamic analysis but also to the virtual There is a limit in coping with environment avoiding technology. In this paper, we propose a machine learning based malicious code analysis technique which improve the weakness of the detection performance of existing analysis technology while maintaining the light and high-speed analysis performance applicable to commercial endpoints. The results of this study show that 99.13% accuracy, 99.26% precision and 99.09% recall analysis performance of 71,000 normal file and malicious code in commercial environment and analysis time in PC environment can be analyzed more than 5 per second, and it can be operated independently in the endpoint environment and it is considered that it works in complementary form in operation in conjunction with existing antivirus technology and static and dynamic analysis technology. It is also expected to be used as a core element of EDR technology and malware variant analysis.

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.1-11
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• 2018

The Blockchain is a technique that prevents data from being manipulated and guarantees the integrity and reliability of the data by all participants in the network jointly owning and validating the data. Since the Blockchain characterized by security, scalability and transparency, it is used in a variety of fields including logistics, distribution, IoT and healthcare, including remittance. In particular, there is a growing interest in smart contract that can create different forms of contracts and automate implementation based on Blockchain. Smart Contract can be used to pre-programme contracts and are implemented immediately when conditions are met. As a result, digital data can be more reliable. In this paper, we are conducting a study on the smart contract design as a way to solve such problems as illegal misuse of funds on virtual currency, which has become an issue recently. Through this process, we applied the customer identification and money laundering prevention process using smart contract, and then check the possibility of preventing money laundering and propose the ASM (AML SmartContract Mechant) design.

• Journal of Korean Tunnelling and Underground Space Association
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• v.13 no.6
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• pp.431-450
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• 2011

When a circular vertical shaft is constructed below the groundwater level, additional forces caused by groundwater flow besides horizontal effective stresses will act on the wall. The inward direction of the groundwater flow will be inclined to the vertical wall and its direction will change depending on the wall depth. In this paper, to figure out the effect of seepage forces acting on the circular vertical shaft, the slope of the inclined flow varying with the depth is divided into vertical and horizontal components to derive the coefficient of earth pressure considering the seepage pressure and to obtain the vertical stress by taking the seepage pressure into account. The control volume in this study is assumed to be the same with that of the dry ground condition within which the earth pressure is acting on the wall by the creation of the plastic zone during shaft excavation. An example study shows that the vertical stress increases by about 1.4 times and the horizontal earth pressure increases up to 2.5 times compared to the dry ground condition. The estimated values from the proposed equation considering seepage forces and the calculated values from numerical analysis with "effective stress plus seepage force" show similar values, which verifies appropriateness of the proposed equation to estimate the earth pressure under the seepage condition.

• Journal of Korean Tunnelling and Underground Space Association
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• v.22 no.4
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• pp.337-346
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• 2020

Traffic jam and congestion in urban areas has caused the need to improve the utility of underground space. In response, research on underground structures is increasingly being conducted. Notably, a double-deck tunnel is one of the most widely used of all those underground structures. This double-deck tunnel is separated by the middle slab into the upper and lower roadways. Both vehicle load and earthquake load cause the middle slab to exhibit dynamic behavior. Earthquake-related response characteristics, in particular, are highly complex and difficult to interpret in a theoretical context, and thus experimental research is required. The aim of the present study is to assess the stability of a double-deck tunnel's middle slab of the Collapse Prevention Level and Seismic Category 1 with regard to the presence of vibration-damping Rubber Bearings. In vibration table tests, the ratio of similitude was set to 1/4. Linings and vibrating platforms were fixed during scaled model tests to represent the integrated behavior of the ground and the applied models. In doing so, it was possible to minimize relative behavior. The standard TBM cross-section for the virtual double-deck tunnel was selected as a test subject. The level of ground motion exerted on the bedrock was set to 0.154 g (artificial seismic wave, Collapse Prevention Level and Seismic Category 1). A seismic wave with the maximum acceleration of 0.154 g was applied to the vibration table input (bedrock) to analyze resultant amplification in the models. As a result, the seismic stability of the middle slab was evaluated and analyzed with respect to the presence of vibration-damping rubber bearings. It was confirmed that the presence of vibration-damping rubber bearings improved its earthquake acceleration damping performance by up to 40%.