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Jeju Island is a special self administrated province of South Korea, known for its clean environment, scenic landscape and legendary historic cultural background. It is a tourists heaven and destination of choice for visitors originating from mainland Korea, Japan, China and neighboring countries, who throng it in large groups to ignite their romantic appetite, add spice to their lives and strengthen their spiritual energies. However, its potential as an international tourist destination is still not fully recognized and realized. The paper suggests IDEA- a new personality brand model (Identity, Differentiation, Emotion bonding and Aura), to put Jeju at par with its competitors. If fully adopted and implemented, IDEA may catapult Jeju to new heights through harnessing measures revolving around Identity, differentiation, emotion bonding and aura.
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A tourism destination’s consumption depends upon a wide-ranging needs and motivations shaped by a complex mix of factors representing consumer’s social environment, personality, family or personal experiences and pleasure drives. Tourists like others put value on tranquility and safety for the enjoyment of the pleasures and activities offered by tourist destinations. Terrorism is causing significant decrease in tourists’ utility of tourism products. The evaluation of a tourism destination in terms of consumer utility loss can be effective for rehabilitation exercise and planning of resources. Pakistan is a frontline state in war on terror since September 11, 2001. Tourism industry is badly hit in the country as local and foreign tourists avoid travelling and visiting public places due to safety concerns. This study investigates terrorism impacts on consumer’s utility of Taxila, Pakistan. Taxila is a UNESCO listed archaeological heritage site and tourist destination having a number of Buddhist monasteries, excavated ruins of ancient cities and a site museum. The study uses consumers’usage data and terrorism causalities figures collected from Taxila Museum and international databases, respectively. The study focuses on terrorismincidents occurring allover country and its impact of local and foreign visitor arrivals at Taxila. The analysis of the data is carried out by using statistical concepts like ANOVA, multivariate regression and time series using SPSS 17 software. The result shows utility of Taxila by local and foreign visitor’s dropped signficantly. Moreover, foreigners displaymore sensitivity to frequency of terror incidents then locals, who react rather seriously to the intensity of such incidents.
The aim of this study was to evaluate the use of iron-nickel oxide ($Fe_2O_3$.NiO) nanopowder (FeNi) as an anti-corrosion pigment for a different application. The corrosion protection ability and the mechanism involved was determined using aqueous solution of FeNi prepared in a corrosive solution containing 3.5 wt.% NaCl. Anti-corrosion abilities of aqueous solution were determined using electrochemical impedance spectroscopy (EIS) on line pipe steel (API 5L X-80). The protection mechanism involved the adsorption of metallic cations on the steel surface forming a protective film. Analysis of EIS spectra revealed that corrosion inhibition occurred at low concentration, whereas higher concentration of aqueous solution produced induction behavior.
Modeling is essential to simulate the operation of integrated circuit (IC) before its fabrication. Seeing a large number of Metal-Oxide-Silicon Field-Effect-Transistor (MOSFET) models available, it has become important to understand them and compare them for their pros and cons. The task becomes equally difficult when the complexity of these models becomes very high. The paper reviews the mainstream models with their physical relevance and their comparisons. Major short-channel and quantum effects in the models are outlined. Emphasis is set upon the latest compact models like BSIM, MOS Models 9/11, EKV, SP etc.
Nowaday's application, that is focused more on the security and Radio Frequency Identification (RFID) had become one of the major technologies that became important for security. RFID devices are going to be ubiquitous applications that are used in different areas especially in the business because it simplifies many business transactions. However, security and privacy issues and risks are introduced by pervasiveness of RFID systems. In RFID systems, communication between tag and reader usually takes place via wireless communication. As the nature of radio frequency signal, it can go everywhere and everyone can receive this signal, which is an insecure channel. The computational resources in RFID tag are constrained and it is a big limitation that forces researcher to apply different mitigations compared to common security solutions. At the first part of this research, RFID architecture is introduced briefly. In this paper, the researcher explains existing security challenges in RFID networks then the effects of these threats on security and privacy of RFID are discussed. After analyzing security challenges of RFID networks, different countermeasures that are proposed by other researchers are discussed. At the end of this paper, future security challenges are discussed.
Self healing systems are considered as cognation-enabled sub form of fault tolerance system. But our experiments that we report in this paper show that self healing systems can be used for performance optimization, configuration management, access control management and bunch of other functions. The exponential complexity that results from interaction between autonomic systems and users (software and human users) has hindered the deployment and user of intelligent systems for a while now. We show that if that exceptional complexity is converted into self-growing knowledge (policies in our case), can make up for initial development cost of building an intelligent system. In this paper, we report the application of AHSEN (Autonomic Healing-based Self management Engine) to in OKKAM Project infrastructure backbone cluster that mimics the web service based architecture of u-Zone gateway infrastructure. The 'blind' load division on per-request bases is not optimal for distributed and performance hungry infrastructure such as OKKAM. The approach adopted assesses the active threads on the virtual machine and does resource estimates for active processes. The availability of a certain server is represented through worker modules at load server. Our simulation results on the OKKAM infrastructure show that the self healing significantly improves the performance and clearly demarcates the logical ambiguities in contemporary designs of self healing infrastructures proposed for large scale computing infrastructures.
<P>The use of CdSe/ZnS quantum dots in making biosensors or biomarkers requires them to be water soluble, which can be achieved by conjugating with MAA. We report observation of modulation in the photoluminescence intensities of MAA conjugated CdSe/ZnS QDs (MAA-QDs) that depended strongly on the types and quantity of negative ions present in various kinds of phosphate buffers. The deterioration of PL was attributed to the presence of excess ions in the media that altered the energy and occupation of HOMO and LUMO levels of MAA. Instantaneously, strong reduction in the PL intensity with pH was observed. MAA-QDs incubated for more than 24 hours in the phosphate buffer at pH ∼ 7.0-8.0 showed recovery and enhanced PL intensity, which was attributed to the presence of excess positive ions and a small amount of OH<SUP>−</SUP>. Saline buffers showed no significant recovery due to the presence of additional Cl<SUP>−</SUP> ions. Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) measurements were successfully employed to determine the band edges of the MAA-QD system in the presence of excess positive or negative ions (Na<SUP>+</SUP>, H<SUP>+</SUP>, Cl<SUP>−</SUP>, and OH<SUP>−</SUP>) in the media. Thus, it is very important to have complete knowledge of the ions present in the buffer when using MAA-QDs for biomarking or biosensing applications.</P>