The purpose of this study was to provide basic data for the development of educational material in Korean for patient3 being discharge after open heart surgery. The subjects were 45 adult patients who were seen in the out -patient department of the thoracic surgery unit of P University hospital between February 1993 and May 1993. The data were collected through a chart review and interview. Nursing needs, and the patients status related to diet, activity, medication, physical and psychoemotional limitations were analyzed. The results are summarized as follows ; 1. Mitral valve replacement was the most frequent type of surgery(91.2%). In most cases, a mechanical valve was used (91.0%) . The duration of admission after the operation was two to four weeks for most of the patients(48.9%). The follow-up period was between one and two years for 28.9% of the patients and below 6 years for all of the patients. 2. Many Patients didn’t know the importance of a low salt diet(57.8%), and did not get any education on low salt diet (66.7%). Gimchi was included as one of the most commonly ingested foods (77.8%). All of the patients indicated nursing needs related to education about low salt diets and further they indicated a major interest in foods that are harmful (57.7%) or foods that are safe(51.1% ). 3. Most patients did not recognize the need for limitations on physical activity(84.4%). Further, 31.1% of them could not return to work at the time of the study. All patients had nursing needs related to physical activity, with the most frequent questions being about the permissble degree of activity and special cautions dictated by their illness (60.0%). 4. Many patients were ignorant of the necessity of medication(55.6%) . Forty percent of the patients were taking additional drugs, usually herb drugs. The time and duration of medication and the side effects of drugs were common concerns (57.7%) related to nursing. needs about medication and were mentioned by all of the patients. 5. All of the patients complained of physical discomfort including the following : memory disturbance(62.2%), weight gain(60.0%), chest tightness (55.6%), hair loss(51.1%), sleep disturbance(46.7%) and other symptoms in that order of frequency. Nursing needs related to physical condition were a concern for all of them. The viability and function of the replaced valve(53.3%) and weight gain(60.0%) were mal or concerns. 6. Looking at their psychoemotional condition it was found that 36 patients(80.0%) were emotionally unstable. The causes were physical discomfort(17 patients), insufficient knowlege of open heart surgery(6 patients), fear of death(6 patients), familial over protection(2 patients ) and lack of support (5 patients).
Recently, there has been an increase in the number of people who use the smart-phone navigation for using various latest functions such as group driving and location sharing. But smart-phone has a limited storage space for one application, since a lot of applications with different purposes are installed in the smart-phone. For this reason, road network data with a large space of memory used for map matching in the device for navigation cannot be stored in the smart-phone for this reason map matching is impossible. Besides, smart-phone which doesn't use the external GPS device, provides inaccurate GPS information, compared to the device for navigation. This is why the smart-phone navigation is hard to provide accurate location determination. Therefore, this study aims to help map matching that is more accurate than the existing device for navigation, by reducing the capacity of road network data used in the device for navigation through format design of a new road network and conversion and using a database of driver's driving patterns. In conclusion, more accurate map matching was possible in the smart-phone by using a storage space more than 80% less than existing device at the intersection where many roads cross, the building forest that a lot of GPS errors occur, the narrow roads close to the highway. It is considered that more accurate location-based service would be available not only in the navigation but also in various applications using GPS information and map in the future Navigation.
This study aimed to identify middle school students' perceptions and practices of handwriting, and factors affecting their attitudes towards handwriting. Data were collected by means of a survey targeting 346 students enrolled in 9 middle schools(Male=172, Female=172, Unknown=2, M=13.5 years old, SD= .94). Interviews, too, were conducted with 12 students in order to identify the students' perceptions of handwriting. The analyses of both survey and interview data revealed the following: (1) the majority of the interviewee students believed that handwriting is useful for memory and summarization so as to get a better school grade, including performance evaluations; (2) Many of the interviewee students were unsatisfied with their handwriting skills, giving higher scores to their peers' handwriting; (3) 45.7% of the students reported that mother was the one who taught them how to write for the first time; and 49.7% of them had no learning experience of taking notes; (4) Girls than boys and 1st graders than 2 or 3 graders showed more positive attitude towards handwriting; and (5) A multiple regression analysis showed that all the variables entered in the regression model, including sex, grade, affective attitude toward hands-on activities, physical abilities, time spent using a computer, and perceptions of Korean characters, had significant impacts on the students' attitudes towards handwriting.
The purpose of this study was to explore the stressors in pediatric intensive care unit and impaired psychological responses of children after open heart surgery. Sixteen children aged 6 to 11, who were admitted to the hospital for open heart surgery during the period from July, 1991 to February, 1992 were the subjects of the study. Observations, drawings, and interviews were used to collect data for study. Behavioral responses about intensive care unit phenomena were analyzed according to the 4 categories identified to assess children's perceived stressors in ICU. Impaired psychological responses were examined using observational and interview data. Drawings were analyzed by content and color by this researcher and validated by the psychologist. The findings were as follows : 1. The most frequently perceived stressors by children in ICU were the physical stressors causing pain and discomfort(68.5%). It was followed by social stressors which denote disruption of relationship with family and friends(13.0% ), environmental stressors which denote unfamiliar surroundings, noise, staff, and other patients (11.2%), and psychological stressors which denote factors affecting self-esteem such as inability to communicate and inadquate knowledge of the situation (7.3%). 2. 81.3% of the children showed of least one of the impaired psychological responses. Three children (18.8%) experienced time disorientation. An equal number of subject experienced perceptual illusion. Two children(12.5%) experienced hallucination. Vivid dream about ICU phenomena was reported by 2 children. Seven children(43.8%) were identified as having exaggerated fear. They feared about oxygen mask and ICU environment in general. Seven children(43.8%) experienced impairment of memory about treatments, procedures, and environment of ICU. 3. The analysis of children's drawing revealed that 56.3% of children experienced fear in the ICU. 75% of children included nurses in the drawings and 62.5% of children drew other children. 81.3% of children drew and identified himself in the drawing. The colors used most by children were green, purple, and brown. From this result, it is recommended to prepare children before open heart surgery to reduce their stressors and impaired psychological responses in ICU.
The purpose of this paper was to identify the performance of health promoting lifestyles and health perception over 18 years old women living Wonju city so that the results will be based for setting up women's health nursing center. The subjects were 1080 women selected by stratified and purposive sampling. The data were collected by self reporting questionnaire and interview from May to June, 1998. Data were analyzed by SPSS win program. The results were as follows : 1. The range of age was 18-84 years, The proportion according to women's lifecycle was premarital group 20.0%, delivery and rearing group 49.9%, over middle aged-elderly group 29.8%. 2. The mean menarchial age was 15.2 and menopausal age was 48. Mean frequenices of pregnancy is 2.4 and artificical abortion rate is 36.4%. Primary cause of abortion was unwanted babies 42.8%. The practice rate of family planning was 79.4% and permanent sterilization rate was 37.6%. 3. Fatigue was predominated problem in target population. Depression and headache was predominated in premarital group, headache and nervous felling in delivery and rearing group, arthritis and loss of memory in over middle aged-elderly group. 4. Only 13.7% of the target population make some efforts for their health in compare to 85.9% have attention for their health. Perception of unhealthy rate was 9.1% in premarital group, 24.8% in delivery and rearing group, 30.1% in middle aged-elderly group. 5. The average score of the HPLP(Health Promoting Lifestyle Profile) was 2.41. The variable with the highest degree of performance was interpersonal relationship, whereas the one with the lowest degree was the professional health maintenance. The significant difference was found in HPLP according to age, residential area, marital status, educational level, income level. 6. Majority(95.1%) of the target population agreed on necessity for women's health nursing center. Proper location area was presented to women's center and public health center. The priority for health education program was proper diet, family health, stress management, and exercise. In conclusion, we should prepare the education program for women's health according to women's lifecycle, because health perception, HPLP, and education program needed was differentiated in women's lifecycle. Also we suggest that women's health nursing center based community was needed for proper management of women's health.
Kim, Hyun Su;Chun, Seung Man;Chung, Yun Seok;Park, Jong Tae
Journal of the Institute of Electronics and Information Engineers
/
v.53
no.4
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pp.3-11
/
2016
In the environment of Internet of Things (IoT), IoT devices are limited by physical components such as power supply and memory, and also limited to their network performance in bandwidth, wireless channel, throughput, payload, etc. Despite these limitations, resources of IoT devices are shared with other IoT devices. Especially, remote management of the information of devices and patients are very important for the IoT healthcare service, moreover, providing the interoperability between the healthcare device and healthcare platform is essential. To meet these requirements, format of the message and the expressions for the data information and data transmission need to comply with suitable international standards for the IoT environment. However, the ISO/IEEE 11073 PHD (Personal Healthcare Device) standards, the existing international standards for the transmission of health informatics, does not consider the IoT environment, and therefore it is difficult to be applied for the IoT healthcare service. For this matter, we have designed and implemented the IoT healthcare system by applying the oneM2M, standards for the Internet of Things, and ISO/IEEE 11073 DIM (Domain Information Model), standards for the transmission of health informatics. For the implementation, the OM2M platform, which is based on the oneM2M standards, has been used. To evaluate the efficiency of transfer syntaxes between the healthcare device and OM2M platform, we have implemented comparative performance evaluation between HTTP and CoAP, and also between XML and JSON by comparing the packet size and number of packets in one transaction.
Since frequent pattern mining was proposed in order to search for hidden, useful pattern information from large-scale databases, various types of mining approaches and applications have been researched. Especially, frequent graph pattern mining was suggested to effectively deal with recent data that have been complicated continually, and a variety of efficient graph mining algorithms have been studied. Graph patterns obtained from graph databases have their own importance and characteristics different from one another according to the elements composing them and their lengths. However, traditional frequent graph pattern mining approaches have the limitations that do not consider such problems. That is, the existing methods consider only one minimum support threshold regardless of the lengths of graph patterns extracted from their mining operations and do not use any of the patterns' weight factors; therefore, a large number of actually useless graph patterns may be generated. Small graph patterns with a few vertices and edges tend to be interesting when their weighted supports are relatively high, while large ones with many elements can be useful even if their weighted supports are relatively low. For this reason, we propose a weight-based frequent graph pattern mining algorithm considering length-decreasing support constraints. Comprehensive experimental results provided in this paper show that the proposed method guarantees more outstanding performance compared to a state-of-the-art graph mining algorithm in terms of pattern generation, runtime, and memory usage.
Journal of the Institute of Electronics Engineers of Korea SD
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v.45
no.12
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pp.1-7
/
2008
Magnetic Tunneling Junction (MTJ) has been used as a nonvolatile universal storage element mainly in memory technology. However, according to several recent studies, magneto-logic using MTJ elements show much potential in substitution for the transistor-based logic device. Magneto-logic based on MTJ can maintain the data during the power-off mode, since an MTJ element can store the result data in itself. Moreover, just by changing input signals, the full logic functions can be realized. Because of its programmability, it can embody the reconfigurable magneto-logic circuit in the rigid physical architecture. In this paper, we propose a novel 3-bit arbitrary magneto-logic circuit beyond the simple combinational logic or the short sequential one. We design the 3-bit magneto-logic which has the most complexity using MTJ elements and verify its functionality. The simulation results are presented with the HSPICE macro-model of MTJ that we have developed in our previous work. This novel magneto-logic based on MTJ can realize the most complex logic function. What is more, 3-bit arbitrary logic operations can be implemented by changing gate signals of the current drivel circuit.
Prefetching aims at reducing memory latency by fetching, in advance, data that are likely to be requested by the processor in a near future. The effectiveness of prefetching is determined by how accurate the prediction on the needed instructions and data is. Most previous studies on prefetching were limited to proposing a particular prefetch scheme and its performance evaluation, paying little attention to theoretical aspects of prefetching. This paper focuses on the theoretical aspects of instruction prefetching. For this purpose, we propose a clairvoyant prefetch model that makes use of perfect history information. Based on this theoretical model, we analyzed upper limits on the prefetch prediction accuracies of the SPEC benchmarks. The results show that the prefetch prediction accuracy is very high when there is no cache. However, as the size of the instruction cache increases, the prefetch prediction accuracy drops drastically. For example, in the case of the spice benchmark, the prefetch prediction accuracy drops from 53% to 39% when the cache size increases from 2Kbyte to 16Kbyte (assuming 16byte block size). These results indicate that as the cache size increases, most localities are captured by the cache and that instruction prefetching based on the information extracted from the references that missed in the cache suffers from prediction inaccuracies
The Journal of Korean Institute of Communications and Information Sciences
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v.37C
no.11
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pp.1170-1181
/
2012
Wireless Sensor Networks(WSNs) are used in diverse applications. In general, sensor nodes that are easily deployed on specific areas have many resource constrains such as battery power, memory sizes, MCUs, RFs and so on. Hence, first of all, the efficient energy consumption is strongly required in WSNs. In terms of event states, event-driven deliverly model (i.e. surveillance and reconnaissance applications) has several characteristics. On the basis of such a model, clustering algorithms can be mostly used to manage sensor nodes' energy efficiently owing to the advantages of data aggregations. Since a specific node collects packets from its child nodes in a network topology and aggregates them into one packet to relay them once, amount of transmitted packets to a sink node can be reduced. However, most clustering algorithms have been designed without considering can be reduced. However, most clustering algorithms have been designed without considering characteristics of event-driven deliverly model, which results in some problems. In this paper, we propose enhanced clustering algorithms regarding with both targets' movement and energy efficiency in order for applications of surveillance and reconnaissance. These algorithms form some clusters to contend locally between nodes, which have already detected certain targets, by using a method which called CHEW (Cluster Head Election Window). Therefore, our proposed algorithms enable to reduce not only the cost of cluster maintenance, but also energy consumption. In conclusion, we analyze traces of the clusters' movements according to targets' locations, evaluate the traces' results and we compare our algorithms with others through simulations. Finally, we verify our algorithms use power energy efficiently.
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