Objectives : Fatigue is a common symptom experienced by everyone. Nevertheless, clinicians have a tendency of ignoring it since fatigue itself is not considered a distinct disease. Actually, some limited research about chronic fatigue syndrome has been made within the country, but in reality, the probability of getting this syndrome is still considered very low due to the strict diagnosis standard. Therefore, there are tremendous numbers of patients who do not get enough attention from clinicians for their fatigue symptoms only because technically they do not belong to the syndrome. Therefore, a basic statistical database must be compiled and patient management programs must be developed. To accomplish this, we conducted this study by measuring degree of fatigue, clinical characteristics and processes of Oriental medical treatment of fatigue patients. Methods : The objects of this study were selected from the new patients who entered the tonification Clinic in Kynnghee Oriental Medical Center between August 11, 2000 and October 7, 2000. Their main complaint was fatigue and they did not suffer from any physical or mental problem either historically or at the time of the study. The objects were divided into two groups based on duration of fatigue; fatigue under 6 months is considered as acute fatigue and fatigue for longer than 6 months is chronic fatigue. The prepared survey sheet for measuring fatigue degree was distributed to the patients with their consent. The patients were divided again into three subgroups : the fIrst group went through 1st test and constitution test after tonification clinic; the second one went into constitution test skipping Ist measuring test; the third one went into only tonification clinic with neither 1st measuring test nor constitution test. Results : The total number of object patients was 47 and 80% of them were considered as 'fatigue patients' by the Chalder scale. Among all patients, 29.5% requested treatment for chronic fatigue, which is over 6 months. The average of scale II for all patients was 14.8, which indicates moderate fatigue. The averages of scale II-1, II-2, II-3 were respectively 7.5, 5.9, and 3.7 so the most common complaint was physical fatigue. When compared scale II based on occupations, student group scored 6.9 and office man group scored 8.5 in scale II-1, physical fatigue, but it was not significant. Conclusions : Numerous number of patients have come to Oriental medical centers or hospitals in Korea. Therefore, deeper statistical research and follow-up-monitoring are reqnired in the Oriental medical academic world. In this study, among all patients who entered the tonification Clinic in Kyunghee Oriental Medical Center, 29.5% requested treatment for chronic fatigue, which is over 6 months. This kind of statistical report is the first time trial in the Oriental medical academy world. Through these steps, more objective treatment can be made and standards of prognosis assessment can be established.tablished.
In this paper, we present the design and implementation of a large-scale qualitative spatial reasoner using Apache Spark, an in-memory high speed cluster computing environment, which is effective for sequencing and iterating component reasoning jobs. The proposed reasoner can not only check the integrity of a large-scale spatial knowledge base representing topological and directional relationships between spatial objects, but also expand the given knowledge base by deriving new facts in highly efficient ways. In general, qualitative reasoning on topological and directional relationships between spatial objects includes a number of composition operations on every possible pair of disjunctive relations. The proposed reasoner enhances computational efficiency by determining the minimal set of disjunctive relations for spatial reasoning and then reducing the size of the composition table to include only that set. Additionally, in order to improve performance, the proposed reasoner is designed to minimize disk I/Os during distributed reasoning jobs, which are performed on a Hadoop cluster system. In experiments with both artificial and real spatial knowledge bases, the proposed Spark-based spatial reasoner showed higher performance than the existing MapReduce-based one.
Thermal conditions in practice at the traditional bronze workshop of the Korean Folk Village in Yongin were examined along with the microstructures of some high tin bronze objects made there. Laboratory experiments approximating the conditions of the workshop were also carried out and the results were compared. The operating temperature of the workshop furnace was measured to range from $750^{\circ}C$ to $850^{\circ}C$ while the surface temperature of an object, upon its removal from the furnace for additional thermo-mechanical treatments, was generally in the range of $600^{\circ}C$ to $685^{\circ}C$. This variation in working temperatures was reflected in varying microstructures developed upon quenching. The products of the Folk Village were found to consist of microstructures where the ${\alpha}$ grains of the Cu-Sn system were distributed in the background of different phases including the ${\beta}$-martensite phase, retained ${\gamma}$ phase, ${\alpha}+{\delta}$ eutectoid or their mixtures. This variability, which is also identified in objects made in ancient times as well as in our laboratory experiments, suggests that the actual thermal conditions given during the quenching treatments are much more complicated than is inferred from the temperature measurements. This paper will present detailed accounts of the thermo-mechanical treatments as observed in the high tin bronze workshop of the Korean Folk Village and discuss the evolution of varying microstructures in terms of the substantial variability involved in the implementation of the traditional forged high tin bronze technology of Korea.
The number of capabilities of Internet of Things (IoT) devices will exponentially grow over the next years. These devices may generate a vast amount of time-constrained data. In the context of IoT, data management should act as a layer between the objects and devices generating the data and the applications accessing the data for analysis purposes and services. In addition, most of IoT services will be content-centric rather than host centric to increase the data availability and the efficiency of data delivery. IoT will enable all the communication devices to be interconnected and make the data generated by or associated with devices or objects globally accessible. Also, fog computing keeps data and computation close to end users at the edge of network, and thus provides a new breed of applications and services to end users with low latency, high bandwidth, and geographically distributed. In this paper, we propose Edge-Fog cloud-based Hierarchical Data Delivery ($EFcHD^2$) method that effectively and reliably delivers IoT data to associated with IoT applications with ensuring time sensitivity. The proposed $EFcHD^2$ method stands on basis of fully decentralized hybrid of Edge and Fog compute cloud model, Edge-Fog cloud, and uses information-centric networking and bloom filters. In addition, it stores the replica of IoT data or the pre-processed feature data by edge node in the appropriate locations of Edge-Fog cloud considering the characteristic of IoT data: locality, size, time sensitivity and popularity. Then, the performance of $EFcHD^2$ method is evaluated through an analytical model, and is compared to fog server-based and Content-Centric Networking (CCN)-based data delivery methods.
High Level Architecture(HLA) is a specification for interoperation among heterogeneous simulators which are executed in a distributed environment. HLA originally allows many federates to join in a federation using a single RTI(Run-Time Infrastructure). As the target systems become more complex, the need for the interoperation of federations, performed in a RTI-RTI interoperation environment, has been growing. It can be performed by the confederation interface with the agents, which subrogate the API calls and callbacks of each federation. The existing studies have assumed that the object models of each federation are based on same HLA standard and their object descriptions are equal. Because the existing federations are usually not under this assumption, this paper proposes the integration process of object models for the federation interoperation environment. To integrate the object models for the interoperation of federations, this process resolves the differences of HLA standards, provides conversion process between objects with different descriptions and excludes the security objects. We expect that this process enhances the reusability and effectiveness of interoperation of federations in various domains.
It is important to realize automation services by communicating in IoT with humans, objects & objects, and forming a common network. People used web like the most powerful network way to sharing things and communication. Therefore the efficiency method communication between each device and the web in IoT could be different from ones. The best method for high quality software product in web applications is software reuse ; Modules, classes, patterns, frameworks, and business components are reusable elements of various perspectives. Components is plugged with others through well-defined interfaces, which can overcome the operation and complexity of application development. A web-based distributed environment for IoT applications is a standard architecture use information collected from various devices for developing and using applications. For that reason, the network management which manages the constituent resources for the best service control in IoT application is required as a sub-layer support service in most applications as well as individual applications. In this paper, we measure to develop a network management system based not only by components but on heterogeneous internetworks. For procedure this, we clarify a component architecture for classifying and classify also the component needed in the IOT and network domain or order the type of real network management system.
Ubiquitous computing requires timely supply of contextual information in order to upgrade decision quality. In this sense, this study is aimed at proposing a multi-dynamic decision support system for highly ill-structured problems. Especially, it is very important for decision makers in the ubiquitous computing to coordinate conflicts among local goals and global goal harmoniously. The proposed Multi-Dynamic Decision Support System (MDDSS) is basically composed of both central structure and distributed structure, in which central structure supports multi objects decision making and distributed structure supports individual decision making. Its hybrid architecture consists of decision processor, multi-agent controller and intelligent knowledge management processor. Decision processor provides decision support using contexts which come from individual agents. Multi-agent controller coordinates tension among multi agents to resolve conflicts among them. Meanwhile, intelligent knowledge management processor manages knowledge to support decision making such as rules, knowledge, cases and so on. To prove the validity of the proposed MDDSS, we applied it to an u-fulfillment problem system in which many kinds of decision makers exist trying to satisfy their own objectives, and timely adjustment of action strategy is required. Therefore, the u-fulfillment problem is a highly ill-structured problem. We proved its effectiveness with the aid of multi-agent simulation comprising 60 customers and 10 vehicles under three experimental modes.
KIPS Transactions on Software and Data Engineering
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v.6
no.2
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pp.103-116
/
2017
In this paper, we present the design and implementation of a large-scale qualitative spatial reasoner, which can derive new qualitative spatial knowledge representing both topological and directional relationships between two arbitrary spatial objects in efficient way using Aparch Spark SQL. Apache Spark SQL is well known as a distributed parallel programming environment which provides both efficient join operations and query processing functions over a variety of data in Hadoop cluster computer systems. In our spatial reasoner, the overall reasoning process is divided into 6 jobs such as knowledge encoding, inverse reasoning, equal reasoning, transitive reasoning, relation refining, knowledge decoding, and then the execution order over the reasoning jobs is determined in consideration of both logical causal relationships and computational efficiency. The knowledge encoding job reduces the size of knowledge base to reason over by transforming the input knowledge of XML/RDF form into one of more precise form. Repeat of the transitive reasoning job and the relation refining job usually consumes most of computational time and storage for the overall reasoning process. In order to improve the jobs, our reasoner finds out the minimal disjunctive relations for qualitative spatial reasoning, and then, based upon them, it not only reduces the composition table to be used for the transitive reasoning job, but also optimizes the relation refining job. Through experiments using a large-scale benchmarking spatial knowledge base, the proposed reasoner showed high performance and scalability.
Journal of Korean Library and Information Science Society
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v.26
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pp.93-130
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1997
The objective of this study is to catch hold of the problem occurring in the process in which librarians have obtained government publications and to show the method that can construct the rational distribution system of government publications. For this study, total 56 librarians who work for 44 institutes sponsored by central government and 12 institutes sponsored by local government were chosen as the objects of research and questionnaire survey to know how to obtain government publications. How to construct the rational distribution system of government publications is as follows. (1) The exclusive organization to manage overall service for government publications should be established newly or previous similar organization should be reorganized. (2) As reinforcing the law concerning deposit copy, government publications should be distributed obligatorily to all of the depository agency, and the depository library system of government publications should be introduced and managed newly. Especially the management of deposit copy and the depository library system of government publications should be undertaken by the exclusive agency of government publications. (3) Free-government publications should be converted to pay-government publications as much as possible so that everyone can purchase government publications easily. And free-government publications which are difficult to convert to pay-government publications should be distributed according to rational standard by the exclusive agency of government publications. (4) Pay-government publications should be sold by private distribution organization under exclusive agency of government publications. Also printing, editing and pricing of pay-government publications should be done by private distribution organization to compete with general books. (5) In order to promote the sales of pay-government publications, the sales centers of government publications must be established even in city and county. Also special government publications which have much demand should be sold even in general book stores. Especially the management of the sales centers should be undertaken by private distribution organization. (6) It is necessary to abolish or improve unreasonable regulations or system related to government publications and to make legislative, institutional devices for government publications. (7) The public relations for government publications should be enforced much through TV or radio etc. , and the various bibliographic tools of government publications should be developed and disseminated for the sake of much utilization of government publications. (8) By using new technology like CD-ROMs or communication networks, electronic production and distribution of government publications should be push ahead positively. And electronic information distribution center to su n.0, pport it should be established by government agency.
Journal of Korea Society of Industrial Information Systems
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v.16
no.2
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pp.85-97
/
2011
Wireless sensor networks have emerged as one of the key enabling technologies for ubiquitous computing since wireless intelligent sensor nodes connected by short range communication media serve as a smart intermediary between physical objects and people in ubiquitous computing environment. We recognize the wireless sensor network as a massively distributed and deeply embedded system. Such systems require concurrent and asynchronous event handling as a distributed system and resource-consciousness as an embedded system. Since the operating environment and architecture of wireless sensor networks, with the seemingly conflicting requirements, poses unique design challenges and constraints to developers, we propose a very new operating system for sensor nodes based on finite state machine. In this paper, we clarify the design goals reflected from the characteristics of sensor networks, and then present the heart of the design and implementation of a compact and efficient state-driven operating system, SenOS. We describe how SenOS can operate in an extremely resource constrained sensor node while providing the required reactivity and dynamic reconfigurability with low update cost. We also compare our experimental results after executing some benchmark programs on SenOS with those on TinyOS.
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