This paper proposes a parallel implementation of the video based 4-stage fire detectionalgorithm using a general-purpose graphics processing unit (GPGPU) to support real-timeprocessing of the high computational algorithm. In addition, this paper compares the performanceof the GPGPU based fire detection implementation with that of the CPU implementation to showthe effectiveness of the proposed method. Experimental results using five fire included videos withan SXGA (1400×1050) resolution, the proposed GPGPU implementation achieves 6.6x better performance that the CPU implementation, showing 30.53ms per frame which satisfies real-timeprocessing (30 frames per second, 30fps) of the fire detection algorithm
In This paper, we propose the unsupervised learning and fuzzy logic-based coupled dataclassification method base on ART. The unsupervised learning-based data classification helpsimprove the grouping technique, but decreases the processing efficiency. However, the dataclassification requires the decision technique to induce high success rate of data classification withoptimal threshold. Therefore it is also necessary to solve the uncertainty of the threshold decision.
The proposed method deduces the optimal threshold with the designing of fuzzy parameter andrules. In order to evaluate the proposed method, we design the simulation model with the GPCR(Gprotein coupled receptor) data in cloud computing environment. Simulation results verify theefficiency of our method with the high recognition rate and low processing time.
Analysis of influential factors on water consumption in households will help predicting the waterdemand of end-use in household and give an explanation to cause on the change of trend. In thisresearch, the data are gathered by radio telemetry system which is combined electronic flow-meterand wireless communication system in 140 household in Korea. Using this data, we estimate foreach residential type to determine liter per capita day. we used real data to predict bathtub andwashbowl water-uses and compared the ordinary least square regression model and autoregressiveregression error model. The results of this study can be applied in the planning stages of water andwaste water facilities.
In this paper, we propose a pupil detection method using hybrid projection function and rankorder filter. To reduce error to detect eyebrows as pupil, eyebrows are detected using hybridprojection function in face region and eye region is set to not include the eyebrows. In the eyeregion, potential pupil candidates are detected using rank order filter and then the positions ofpupil candidates are corrected. The pupil candidates are grouped into pairs based on geometricconstraints. A similarity measure is obtained for two eye of each pair using template matching, weselect a pair with the smallest similarity measure as final two pupils. The experiments have beenperformed for 700 images of the BioID face database. The pupil detection rate is 92.4% and theproposed method improves about 21.5% over the existing method.
This paper proposes a 3D pointing interface that is designed for the efficient application of ahand mouse. The proposed method uses depth images to secure high-quality results even inresponse to changes in lighting and environmental conditions and uses the normal vector of thepalm of the hand to perform 3D pointing. First, the hand region is detected and tracked using theexisting conventional method; based on the information thus obtained, the region of the palm ispredicted and the region of interest is obtained. Once the region of interest has been identified,this region is approximated by the plane equation and the normal vector is extracted. Next, toensure stable control, interpolation is performed using the extracted normal vector and the intersection point is detected. For stability and efficiency, the dynamic weight using the sigmoidfunction is applied to the above detected intersection point, and finally, this is converted into the2D coordinate system. This paper explains the methods of detecting the region of interest and thedirection vector and proposes a method of interpolating and applying the dynamic weight in orderto stabilize control. Lastly, qualitative and quantitative analyses are performed on the proposed3D pointing method to verify its ability to deliver stable control.
In this paper, we proposed an effective quality improvement scheme of magnified image usingthe surface characteristics in image. If the surface in image is estimated as simple convex surface or simpleconcave surface, the interpolated value can be calculated to have the surface characteristics by using the othermethod in the proposed scheme. The calculated value becomes the interpolated pixel value inmagnified image.
So, themagnified image reflects the surface characteristics of the real image. If the surface is not estimated as simple convex surface or simple concave surface, the interpolated value is calculated more accurately thanbilinear interpolation by using the method of the proposed scheme. The PSNR values of the magnified imagesusing the proposed schemes are greater than those of the magnified images using the previous interpolation schemes.
A game theoretic approach is applied for studying the energy efficient rate scheduling. Theindividual utility function is defined first. Then, a non cooperative rate game is modeled in whicheach user decides the transmission rate to maximize its own utility. The utility function consideredhere is the consumed energy for the individual user’s data transmissions. In particular, using thefact that the utility function is convex, we prove the existence of Nash Equilibrium in the energyefficient rate scheduling problem at hand. Accordingly, a non cooperative scheduling algorithm isprovided. For better energy efficiency, the sum of the individual user’s utility function is optimized. Finally, the convergence analysis and numerical results to show the energy efficiency of theproposed algorithms are provided.
This paper proposes an algorithm that forms the clusters on the basis of hop distance in orderto improve the actor coverage and connectivity in the sink-based wireless sensor and actornetworks. The proposed algorithm forms the clusters that are distributed evenly in the target areaby electing the CHs(Cluster Heads) at regular hop intervals from a sink. The CHs are elected sequentially from the sink in order to ensure the connectivity between the sink and the actors thatare located on the CHs. Additionally, the electing are achieved from the area of the higher rate ofthe sensors density in order to improve the actor coverage. The number of clusters that are createdin the target area and the number of the actors that are placed on the positions of the CHs arereduced by forming the clusters with regular distribution and minimizing the overlap of themthrough the proposed algorithm. Simulations are performed to verify that the proposed algorithmconstructs the actor network that is connected to the sink. Moreover, we shows that the proposedalgorithm improves the actor coverage and, therefore, reduces the amount of the actors that will bedeployed in the region by 9~20% compared to the IDSC algorithm.
This study proposed development method for practical use techniques compromise data storagelayer, data processing layer, data analysis layer, visualization layer. Data of storage, process,analysis of each phase can see visualization. After data process through Hadoop, the resultvisualize from Mahout. According to this course, we can capture several features of customer, wecan choose recommendation of financial item on time. This study introduce background andproblem of big data and discuss development method and case study that how to create big datahas new business opportunity through financial item recommendation case.
Research into recommendation systems for wellness content has focused on representativeresearch on the convergence of wellness and information technology, as interest in wellness hasrecently increased. But existing research is not suitable because it uses only one or two of the five wellness areas: physical, emotional, social, intellectual, and spiritual. And It cause decline ofreliability and satisfaction for recommendation. Thus, a wellness areal feature analysis andintegration management technique is needed. In this paper, suggest meta-data configuration andfeature analysis technique of content. Also Cosine similarity of wellness areal features of thecontent was analyzed by applying a wellness areal score calculated in this way and by suggestedwellness areal detailed properties and a measurement system to verify the efficiency of thisresearch. This allows the wellness features of contents analyzed, and even will be able topersonalized recommendations service for wellness.
In this paper, we design a smart phone UX/UI and a tap pattern recognition algorithm that canrecognize tap patterns from a tapping user's fingers on the screen, and implement an applicationthat provides user-customizable smart phones’s services from the tap patterns. A user can generatea pattern by tapping the input pad several times and register it by using a smart phone’s favoriteprogram. More specifically, when the user inputs a tap pattern on the input pad, the proposed application searches a stored similar tap pattern and can run a service registered on it bymeasuring tap pattern similarity. Our experimental results show that the proposed method helpsto guarantee the higher recognition rate and shorter input time for a variety of tap patterns.
This paper proposed the method of removing baseline drift by eliminating local maxima such asP, R, T-wave signal region and local minima Q, S-wave signal region. We applied morphology-pairoperations improved from morphology operation to the ECG signal. To eliminate overshoot in theresult of morphology-pair operation, we apply median value operation to the result ofmorphology-pair operation. We use MIT/BIH database to estimate the proposed algorithm.
Experiment result show that proposed algorithm removing baseline drift effectively without orignalECG signal distortion
TIn this paper, Hemiplegic patients have gait characteristics different from normal persons.
This paper presents a posture measuring and display system reflecting their characteristics.
Patients wear 3 sensor modules on thigh, calf and foot. To enhance measuring precision of eachsensor module, 3D accelerometer and 3D gyroscope are combined. Gait posture is displayed in 3Dby modeling thigh, calf and foot as connected 3D objects based on data of the sensor modules. Forconvenience in inspecting unusual gait posture of hemiplegic patients, any view angle of the 3Ddisplay can be selected. In addition, the current gait phase of RLA(Rancho Los Amigos) gait cycle is determined and displayed in real-time by utilizing the posture information, The phase sequenceand duration of each phase can be used in evaluating gait quality of patients.
The patients who have illness of hand and upper limb should be received rehabilitationtreatment to recover such illness. The rehabilitation treatments is a treatments designed tofacilitate the process of recovery from injury, illness, or disease to as normal a condition aspossible. This should be done continuously and repeatedly. In this paper, we describehand-rehabilitation system which provides a treatment method improving and recovering thefunction of injured hands. Expecially, this system is using a leap motion device which can easilyand properly identify and trace a hand motion and provide six treatment patterns for hand rehabilitation. By using this system, the patients can do rehabilitation treatment easily andcontinuously in their daily life and in result, the achievement of treatment will be improved.
In this essay, we hoped to see how the operational university job database systems performbadly, since there are a lot of signs that they fall short of data design fundamentals. Fortunately,we are able to choose a university employment support database(UESD) application as a candidatefor our study. We have taken UESD system as it is and we have developed an enhanced version of the UESD system, which strictly followed the basic fundamentals in data modeling and named it asNewUESD system. Then, we have conducted a comparison to see how much UESD system isdeviated from the standard balancedness found in NewUESD. From the perspective of data obesity,we computed how much UESD contains unnecessary data. The NewUESD contained nounnecessary data at all, which implies that it has only data that is necessary to form a datamodel. But the data obesity of UESD system is found to be more than 50%. Therefore, it issignificantly higher, 37% higher in this case, than the obesity judged to be normal, which is 19%in NewUESD system.
This study synthetically investigated the relationship between social support and ego resilience,job satisfaction of the public health center workers providing medical service to local residents atthe front. Unlike previous researches, this study took all variables of social support, ego resilienceand job satisfaction into account, moreover, regarded it as important to verify mediated effect ofego resilience through influencing relationship between social support and job satisfaction. At theresult of actual proof analysis via surveys, the social support of the public health center workers indicated the mediated effect on ego resilience and job satisfaction, besides, ego resilienceinfluenced on job satisfaction and the mediated effect of ego resilience was also shown. Therefore,this study emphasized importance of the psychological satisfaction for the public health centerworkers as to provide residents better medical service based on the empirical testing result.
This study conducted a survey on the perception for legal education efficiency of engineeringdepartment. This study is to search for more efficient legal education method to engineeringdepartment's students, reflecting the reality that our universities have appointed the subjects -related with engineering accreditation such as engineering law - as compulsory subjects. Themethod of this study is that with questionnaire extracted the advanced researches, it selected the180 undergraduates of engineering college in C university as original samples, chose 161 data asfinal efficient samples except for 19 untrustworthy respondent, analyzed and drew the result. Thespecific results are as follows. In case of legal education in engineering department, it was found that women rather than men, the students first taking the subject more than those retaking thesubject, the students who have taken the basic law subjects such as law and society, anintroduction to law, and the students who hope to get a job in their major field showed the higherclass concentration degree and satisfaction degree
The rapid development of the current information and communication brings big changes andprogress in the health service delivery system. And it is becoming the worldwide trendincreasingly. In order to implement established what policy peacefully is sufficient review anddialogue, social consensus are integral components. The government in the telemedicine services,health care industry that is directly related to the public health and development spheres asnations of the society which to vote on new growth policy is a great social health policies of thepush ahead with an unconditional side effects. But before it was activated, telemedicine, which iscapable of ensuring the health and lives of the people in need of revision of the safety andeffectiveness of any kind, and enforces a stretch enough before review and social consensus, must necessarily be a prerequisite. In conclusion, it presently appears to be inappropriate andimpossible to conduct telemedicine system through the foreign of telemedicine. It suggested topresent the problems on telemedicine in korea.
The purpose of this study is to suggest some policy implications for the youth through empiricalstudy about the moderating effects of high school students' family stress in the relationship ofOiettolie propensity and game addiction behaviors including bullies, social phobia and emotionalinstability. For the purpose of this study, this study established a causal model about the relationships among the research variables through review of previous studies and surveyed highschool students for empirical research.
The results of this study shows that Oiettolie propensity impacts on youth's game addiction andbrings about game addiction behaviors like bullies, social phobia and emotional instability.
Especially, this study shows that Oiettolie propensity impacts on social phobia most. Also, familystress has a moderating effects for the relationships among the variables. This study presents somepolicy implications for the youth.
This study analyzed whether the factors of studying resilience of high school students had acontrol effect on self-efficacy and academic achievements depending on the degree of stress. For this purpose, this study set the cause and effect model and the research hypothesis throughliterature and then conducted a survey of 292 people of high school students in G metropolitancity.
The analysis of this study showed that recognition ability and communication skill, which arethe factors of studying resilience, had different effects on self-efficacy and academic achievementsdepending on the degree of stress. It has great significance that if the stress level of the highschool students is lower, self-efficacy and academic achievements are higher. Therefore, this studysuggested how to inspire the academic achievements based on the results of this analysis
The purpose of this study is to analyse on the internet use of Korean older adults focused ontheir socioeconomic characteristics. For this study, data were collected through the face to faceinterview with aged over 60 using a questionnaire for the residence of Daegu and KyungsangBuk-Do areas. Subjects were divided into socioeconomic characteristics such as gender, educationlevel, economic level, religion, and life satisfaction. The data were analysed the elderly’s internetuse such as frequency of internet access, motivation of internet use, utilization of internet, and usefulness of internet based on their socioeconomic characteristics. The results of this empiricalstudy revealed that there exist a significant differences between internet use and socioeconomiccharacteristics in elderly people. It is hoped that the results of this study provide an essential datafor developing the policy of the elderly’s digital divide and welfare.