The proposed scheme schedules given real-time tasks so that energy consumption of multicoreprocessors would be minimized while meeting tasks’ deadline and tolerating a permanent faultbased on the primary-backup task model. Whereas the previous methods minimize the overlappedtime of a primary task and its backup task, the proposed scheme maximizes the overlapped timeso as to decrease the core speed as much as possible. It is analytically verified that the proposedscheme minimizes the energy consumption. Also, the proposed scheme saves up to 77% energy consumption of the previous method through experimental performance evaluation.
In this paper, we propose a self-diagnosis system that is based on the ART2 algorithm in orderto extract more detailed disease information by fuzzy reasoning method especially when theboundary of perceived symptoms are not clearly classified into disease categories. With thatmodification from previous version of the self health pre-diagnosis system, the proposed one isverified as more effective by field experts' evaluation as an intelligent assistant tool for publicusers before they consult with medical experts.
In this paper, I seek the chromatic number, the maximum number of colors necessary when adjoining vertices in the plane separated apart at the distance of 1 shall receive distinct colors.
The upper limit of the chromatic number has been widely accepted as 4 ≤ x(G) ≤ 7 to which Hadwiger-Nelson proposed x(G) ≤ 7 and Soifer x(G) ≤ 9 . I firstly propose an algorithm that obtains the minimum necessary chromatic number and show that x(G) = 3 is attainable by determining the chromatic number for Hadwiger-Nelson’s hexagonal graph. The proposed algorithm obtains a chromatic number of x(G) = 4 assuming a Hadwiger-Nelson’s hexagonal graph of 12 adjoining vertices, and again x(G) = 4 for Soifer’s square graph of 8 adjoining vertices. assert.
Based on the results as such that this algorithm suggests the maximum chromatic number of a planar graph is x(G) = 4 using simple assigned rule of polynomial time complexity to color for a vertex with minimum degree.
The characteristics of today’s health care industry, based on the state of the art IT can berepresented as a paradigm of human-oriented ubiquitous and accessible as possible by U-Healthcare. In addition, the healthcare industry is information and communication technologies (ICT)developments regarding the many advances and applications based on the research being carriedout actively. Medical information system has been developed toward combining informationsystems of medical IT and it sets its sights on the fusion of developed IT and u-healthcare system. So changing distributed medical information systems into a safe PHR integrated system based onIaaS cloud computing is suggested in order to forge u-healthcare system with the times in thispaper. Our experimental results show that our proposed system increased the data access time byabout 24% and reduces the waiting time for processing service by about 4.3% over the web-basedPHR.
The objective of this study is the frequency of the noise source 170 dB level of impulsive soundattenuation performance by earplugs to identify, to analyze the frequency characteristics of a shapeand pattern. The attenuation performance of the impulsive noise by the frequency levels on the CombatArm and 3M Form types 1100 Earplugs were evaluated. In order to check the sound attenuationperformance of the B&K head and torso simulator and sound attenuation performance of the earsimulator data was verified. Previous studies have most impact, even in the noise source and theimpulse noise level is 140 dB, but this study is higher than that of the impulsive noise source features.
The results of the impulse noise attenuation effect is frequency-dependent mean 28.58 dB.
In this paper, we propose Gravity Removal and Vector Rotation algorithm for counting steps ofwearable device, and we evaluated the proposed GRVR algorithm with Micro-Electro-Mechanical(MEMS) 3-axis accelerometer equipped in low-power wearable device while the device is mounted on various positions of a walking or running person. By applying low-pass filter, the gravityelements are canceled from acceleration on each axis of yaw, pitch and roll. In addition to DC-biasremoval and the low-pass filtering, the proposed GRVR calculates acceleration only on theyaw-axis while a person is walking or running thus we count the step even if the wearable device’saxis are rotated during walking or running. The experimental result shows 99.4% accuracies forthe cases where the wearable device is mounted in the middle and on the right of the belt, and91.1% accuracy which is more accurate than 83% of commercial 3-axis pedometer when worn onwrist for the case of axis-rotation.
With the rapid development of IT technology, recently, the development of IT convergencetechnology related to the facility diagnosis is prevalent, and the study for the efficient integratedmanagement scheme is required to handle all relevant information, from the design to themaintenance, including the stage of repair. In this paper, an efficient scheme to process the complexdata for the facility and its diagnosis is proposed based on IT convergence technique and thereal-time complex data management is designed. In order to evaluate the performance of theproposed system, the real-time management system is designed for a particular facility, and thecomparative results show the good performance of the proposed system.
Collaborative filtering recommendation creates similar item subset or similar user subset basedon user preference about items and predict user preference to particular item by using them. Thus,if preference matrix has low density, reliability of recommendation will be sharply decreased. To solve these problems we suggest Hybrid Preference Prediction Technique Using Weighting basedData Reliability. Preference prediction is carried out by creating similar item subset and similaruser subset and predicting user preference by each subset and merging each predictive value byweighting point applying model condition. According to this technique, we can increase accuracy ofuser preference prediction and implement recommendation system which can provide highlyreliable recommendation when density of preference matrix is low. Efficiency of this system isverified by Mean Absolute Error. Proposed technique shows average 21.7% improvement than HaoJi's technique when preference matrix sparsity is more than 84% through experiment.
The RFID-tag objects can be recognized by a distinct reader where it is installed. The RFID-tagobjects are likely described as storages rather than the mobiles in the use of GPS. As RFID tagsare large in number compared to moving objects, so the storing and retrieval costs are highlyexpensive.
Here, two solutions for spatio-temporal model taking account of the feature in the taggedobjects are proposed. First, the moving-tag objects are expressed by the terms "now" as well as"path location". Second, the size of storing index was noticeably reduced by not saving the taginformation of palletizing products but mapping the tagged objects.
In this paper, we propose contents sharing model for consolidating distributed collaborationenvironments. We provide the combined model by integrating different features-scalable resolutiondisplay walls resource, sharing contents on local and remote, multi-user interaction, and accesscontrol. There is a benefit that every user can interact within an environment, but overlaps wouldoccur because of multi-user interaction. To manage overlap issue, the model includes accesscontrol. Access control would interfere flow of work process. Therefore, we conduct user study toevaluate these two factors of the model. The result shows that the proposed contents sharing modelmakes it possible to concentrate in a work.
This paper suggests heuristic algorithm for single-model simple assembly line balancing problemthat is a kind of NP-hard problem. This problem primarily can be solved metaheuristic method.
This heuristic algorithm set the main-path that has a most number of operations from start toend-product. Then the clustering algorithm can be assigns operations to each workstation withincycle time follow main-path. This algorithm decides minimum number of workstations and can bereduces the cycle time. This algorithm can be better performance then metaheuristic methods.
In the past decade, Pine & Gilmore set out the vision for a new economic era, the experienceeconomy, in which consumers are in search for extraordinary and memorable experiences. Thepurpose of this study is to investigate the relationships among walking tourist's experiences,walking tourist satisfaction and revisit intention as the social interest on walking tour has risen.
A total of 250 respondents completed a survey. Using structural equation modeling (SEM) technique, the results reveal the effects of Esthetics(indulged in environments) andEscapism(diverging to a new self) that impact on walking tourist satisfaction and on revisitintention indirectly. Overall, finding of this study enhance the theoretical progress on theexperiential concept in walking tour and offer important implication for walking tour marketers.
This study tries to find the policy instruments that have used in the process of social insurancepolicy implementation. The results can be summarized as follows: First, in case of compulsorypolicy instrument, the government uses the regulation, public enterprise and government insurancein the process of implementing of all the social insurance policy. Second, in the case of mixedpolicy instrument, the government use the user' contribution in the process of implementing of all the social insurance policy but the subsidy was used in the process of implementing of the medical,pension, unemployment and long-term care insurance for the aged policy. Also, the informationand discipline was used in the process of implementing of unemployment insurance policy and thepartnership was used in the process of implementing of long-term care insurance for the agedpolicy. Third, in case of voluntary policy instrument, the government uses the family andcommunity in the process of implementing of almost the whole social insurance policy.
This study conducted digital storytelling-based programing education targeting students atelementary school and analyzed educational significance as looking into perception on programing,making cognitive-affective assessments and having interviews. The results of the study areprovided as follows. First, in terms of ex-post perception, from all the areas of fun, usefulness andease of use, statistically significant differences were observed. It was also learned that femalestudents have positive perception similar to male students. Second, the ex-ante and ex-postcognitive assessments came up with significant differences. Third, more affectively the class isdeveloped, the number of students who would feel ‘happiness’ constantly increases. What the studyhas found there proves educational value of digital storytelling to programing education, and they will be used effectively as basic references for any relevant field to design measures for programingeducation of students at elementary school in the future.
This study proposed an IT convergence curriculum for educating the Non-CommissionedOfficers. This program was produced by the comprehensive reference to the curriculums of militaryacademies and systematic and rational modelling. The key features of the proposed curriculum areto consolidate the following three areas to meet the needs of the NCO, a recipient of the education.
First, IT related subjects were posed as a mainstay of the curriculum that is critical for thescientific and information advancement of the forces. Second, the military leadership courses wereincluded in the effective management of the soldiers. Third, military counseling certificate courseswere included, a ground breaking trial nationally. In addition to this, we presented a characterizedcourses that focus on hands-on skills and knowledge for performing the duties of the NCO.