• Journal of Information Processing Systems
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• v.13 no.4
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• pp.893-913
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• 2017

The handwriting based person identification systems use their designer's perceived structural properties of handwriting as features. In this paper, we present a system that uses those structural properties as features that graphologists and expert handwriting analyzers use for determining the writer's personality traits and for making other assessments. The advantage of these features is that their definition is based on sound historical knowledge (i.e., the knowledge discovered by graphologists, psychiatrists, forensic experts, and experts of other domains in analyzing the relationships between handwritten stroke characteristics and the phenomena that imbeds individuality in stroke). Hence, each stroke characteristic reflects a personality trait. We have measured the effectiveness of these features on a subset of handwritten Devnagari and Latin script datasets from the Center for Pattern Analysis and Recognition (CPAR-2012), which were written by 100 people where each person wrote three samples of the Devnagari and Latin text that we have designed for our experiments. The experiment yielded 100% correct identification on the training set. However, we observed an 88% and 89% correct identification rate when we experimented with 200 training samples and 100 test samples on handwritten Devnagari and Latin text. By introducing the majority voting based rejection criteria, the identification accuracy increased to 97% on both script sets.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.319-324
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• 2005

An integrated approach for prostate cancer detection using proteomic data is presented. Due to the high-dimensional feature of proteomic data, the discrete wavelet transform (DWT) is used in the first-stage for data reduction as well as noise removal. After the process of DWT, the dimensionality is reduced from 43,556 to 1,599. Thus, each sample of proteomic data can be represented by 1599 wavelet coefficients. In the second stage, a voting method is used to select a common set of wavelet coefficients for all samples together. This produces a 987-dimension subspace of wavelet coefficients. In the third stage, the Autoassociator algorithm reduces the dimensionality from 987 to 400. Finally, the artificial neural network (ANN) is applied on the 400-dimension space for prostate cancer detection. The integrated approach is examined on 9 categories of 2-class experiments, and also 3- and 4-class experiments. All of the experiments were run 10 times of ten-fold cross-validation (i. e. 10 partitions with 100 runs). For 9 categories of 2-class experiments, the average testing accuracies are between 81% and 96%, and the average testing accuracies of 3- and 4-way classifications are 85% and 84%, respectively. The integrated approach achieves exciting results for the early detection and diagnosis of prostate cancer.

• Journal of environmental and Sanitary engineering
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• v.23 no.4
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• pp.1-11
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• 2008

The goal of today's environmental education is to enhance the understanding of the serious of environmental problems and the interactions among environment. With this perspectives people need to be aware that environmental education is no longer a liberal arts in university education, but play a vital role within the socio-cultural context. This study was performed to assess the changes in the university student's attitudes and consciousness in real life after the education of a point at issues of environmental problems. For this study 11 questionnaires which were composed of large scale environmental problems(water and air pollution), and small scale environmental problems(food additives, GMO, endocrine disrupter) were performed with self-administered by university students(n=781) who made a application for liberal arts related to environmental subjects. According to the analysis the most student's consciousness of a point at issue of environmental problems(water pollution, air pollution, additives, GMO, endocrine disrupter), and practical attitudes(i.e., practical attendant at congregation and internet voting) were change statistically significant(p<0.01) after the education of a point at issue of environmental problems rather than before. Specially, the score for the item of the large scale problem of environmental issues(water pollution, air pollution) were decreased significantly(p<0.01), but the score for the small scale problems, such as food additives, GMO, endocrine disrupter were increased significantly(p<0.01) after the education of a point at issue of environmental problems(p<0.01). And among the students that participated, 97.7% responded that such a point at issues of environmental problem is needed at the university. With this educational improvements supports the states that the education of a point at issue of environmental problems were more essential, practical and needed to students at university rather than that of an existing instruction. Thus, further studies are required to develop the education of environmental issues at universities like STSE programme.

• Asia pacific journal of information systems
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• v.21 no.2
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• pp.89-116
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• 2011

In collaborative tagging systems such as Delicious.com and Flickr.com, users assign keywords or tags to their uploaded resources, such as bookmarks and pictures, for their future use or sharing purposes. The collection of resources and tags generated by a user is called a personomy, and the collection of all personomies constitutes the folksonomy. The most significant need of the folksonomy users Is to efficiently find useful resources or experts on specific topics. An excellent ranking algorithm would assign higher ranking to more useful resources or experts. What resources are considered useful In a folksonomic system? Does a standard superior to frequency or freshness exist? The resource recommended by more users with mere expertise should be worthy of attention. This ranking paradigm can be implemented through a graph-based ranking algorithm. Two well-known representatives of such a paradigm are Page Rank by Google and HITS(Hypertext Induced Topic Selection) by Kleinberg. Both Page Rank and HITS assign a higher evaluation score to pages linked to more higher-scored pages. HITS differs from PageRank in that it utilizes two kinds of scores: authority and hub scores. The ranking objects of these pages are limited to Web pages, whereas the ranking objects of a folksonomic system are somewhat heterogeneous(i.e., users, resources, and tags). Therefore, uniform application of the voting notion of PageRank and HITS based on the links to a folksonomy would be unreasonable, In a folksonomic system, each link corresponding to a property can have an opposite direction, depending on whether the property is an active or a passive voice. The current research stems from the Idea that a graph-based ranking algorithm could be applied to the folksonomic system using the concept of mutual Interactions between entitles, rather than the voting notion of PageRank or HITS. The concept of mutual interactions, proposed for ranking the Semantic Web resources, enables the calculation of importance scores of various resources unaffected by link directions. The weights of a property representing the mutual interaction between classes are assigned depending on the relative significance of the property to the resource importance of each class. This class-oriented approach is based on the fact that, in the Semantic Web, there are many heterogeneous classes; thus, applying a different appraisal standard for each class is more reasonable. This is similar to the evaluation method of humans, where different items are assigned specific weights, which are then summed up to determine the weighted average. We can check for missing properties more easily with this approach than with other predicate-oriented approaches. A user of a tagging system usually assigns more than one tags to the same resource, and there can be more than one tags with the same subjectivity and objectivity. In the case that many users assign similar tags to the same resource, grading the users differently depending on the assignment order becomes necessary. This idea comes from the studies in psychology wherein expertise involves the ability to select the most relevant information for achieving a goal. An expert should be someone who not only has a large collection of documents annotated with a particular tag, but also tends to add documents of high quality to his/her collections. Such documents are identified by the number, as well as the expertise, of users who have the same documents in their collections. In other words, there is a relationship of mutual reinforcement between the expertise of a user and the quality of a document. In addition, there is a need to rank entities related more closely to a certain entity. Considering the property of social media that ensures the popularity of a topic is temporary, recent data should have more weight than old data. We propose a comprehensive folksonomy ranking framework in which all these considerations are dealt with and that can be easily customized to each folksonomy site for ranking purposes. To examine the validity of our ranking algorithm and show the mechanism of adjusting property, time, and expertise weights, we first use a dataset designed for analyzing the effect of each ranking factor independently. We then show the ranking results of a real folksonomy site, with the ranking factors combined. Because the ground truth of a given dataset is not known when it comes to ranking, we inject simulated data whose ranking results can be predicted into the real dataset and compare the ranking results of our algorithm with that of a previous HITS-based algorithm. Our semantic ranking algorithm based on the concept of mutual interaction seems to be preferable to the HITS-based algorithm as a flexible folksonomy ranking framework. Some concrete points of difference are as follows. First, with the time concept applied to the property weights, our algorithm shows superior performance in lowering the scores of older data and raising the scores of newer data. Second, applying the time concept to the expertise weights, as well as to the property weights, our algorithm controls the conflicting influence of expertise weights and enhances overall consistency of time-valued ranking. The expertise weights of the previous study can act as an obstacle to the time-valued ranking because the number of followers increases as time goes on. Third, many new properties and classes can be included in our framework. The previous HITS-based algorithm, based on the voting notion, loses ground in the situation where the domain consists of more than two classes, or where other important properties, such as "sent through twitter" or "registered as a friend," are added to the domain. Forth, there is a big difference in the calculation time and memory use between the two kinds of algorithms. While the matrix multiplication of two matrices, has to be executed twice for the previous HITS-based algorithm, this is unnecessary with our algorithm. In our ranking framework, various folksonomy ranking policies can be expressed with the ranking factors combined and our approach can work, even if the folksonomy site is not implemented with Semantic Web languages. Above all, the time weight proposed in this paper will be applicable to various domains, including social media, where time value is considered important.

• The Korean Journal of Air & Space Law and Policy
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• v.31 no.2
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• pp.237-269
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• 2016

Asia-Pacific Space Cooperation Organization (APSCO) is the only intergovernmental space cooperation organization in Asia. Since its establishment to date, eight countries have signed the convention and become member states. South Korea participated actively in the preparatory phase of creating the organization, and one conference organized by AP-MCSTA which is the predecessor of APSCO was held in South Korea. However, after the APSCO Convention was opened for signature in 2005 to date, South Korea does not ratify the Convention and become a member. The rapid development of space commercialization and privatization, as well as the fastest growing commercial space market in Asia, provides opportunities for Asian countries to cooperate with each other in relevant space fields. And to participate in the existing cooperation framework (e.g., the APSCO) by the Asian space countries (e.g., South Korea) could be a proper choice. Even if the essential cooperation in particular space fields is challenging, joint space programs among different Asian countries for dealing with the common events can be initiated at the first steps. Since APSCO has learned the successful legal arrangements from ESA, the legal measures established by its Convention are believed to be qualified to ensure the achievement of benefits of different member states. For example, the regulation of the "fair return" principle confirms that the return of interests from the relevant programs is in proportion to the member's investment in the programs. Moreover, the distinguish of basic and optional activities intends to authorize the freedom of the members to choose programs to participate. And for the voting procedure, the acceptance of the "consensus" by the Council is in favor of protecting the member's interest when making decisions. However, political factors that are potential to block the participation of South Korea in APSCO are difficult to be ignored. A recent event is an announcement of deploying THAAD by South Korea, which causes tension between South Korea and China. The cooperation between these two states in space activities will be influenced. A long-standing barrier is that China acts as a non-member of the main international export control mechanism, i.e., the MTCR. The U.S takes this fact as the main reason to prevent South Korea to cooperate with China in developing space programs. Although the political factors that will block the participation of South Korea in APSCO are not easy to removed shortly, legal measures can be taken to reduce the political influence. More specifically, APSCO is recommended to ensure the achievement of commercial interests of different cooperation programs by regulating precisely the implementation of the "fair return" principle. Furthermore, APSCO is also suggested to contribute to managing the common regional events by sharing satellite data. And it is anticipated that these measures can effectively response the requirements of the rapid development of space commercialization and the increasing common needs of Asia, thereby to provide a platform for the further cooperation. In addition, in order to directly reduce the political influence, two legal measures are necessary to be taken: Firstly, to clarify the rights and responsibilities of the host state (i.e., China) as providing assistance, coordination and services to the management of the Organization to release the worries of the other member states that the host state will control the Organization's activities. And secondly, to illustrate that the cooperation in APSCO is for the non-military purpose (a narrow sense of "peaceful purpose") to reduce the political concerns. Regional cooperation in Asia regarding space affairs is considered to be a general trend in the future, so if the participation of South Korea in APSCO can be finally proved to be feasible, there will be an opportunity to discuss the creation of a comprehensive institutionalized framework for space cooperation in Asia.