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In this paper, we proposed real-time relative radiometric calibration processing method for SWIR(Short Wavelength Infra-Red) sensor using ‘Hyper-Spectral Imager’. Until now domestic research for Hyper-Spectral Imager has been performing with foreign sensor device. So we have been studying hyper spectral sensor device to meet domestic requirement, especially military purpose. To improve detection & identify capability in ‘Hyper-Spectral Imager’, it is necessary to expend sensing wavelength from visual and NIR(Near Infra-Red) to SWIR. We aimed to design real-time processor for SWIR sensor which can control the sensor ROIC(Read-Out IC) and process calibrate the image. To build Hyper-Spectral sensor device, we will review the SWIR sensor and its signal processing board. And we will analyze relative radiometric calibration processing method and result. We will explain several SWIR sensors, our target sensor and its control method, steps for acquisition of reference images and processing result.

The central goal of the current paper is to investigate lexical transfer between Korean and English and to identify rule-governed behavior and to provide implications for development of computer-assisted translation(CAT) software for the two languages. It will be shown that Sankoff and Poplack’s Free Morpheme Constraint can not account for all the range of data. A constraint is proposed that a set of case-assigners such as verbs, INFL, prepositions, and the possessive marker may not undergo lexical transfer. The translation software is also expected to be equipped with the proposed claim that English verbs are actually borrowed as nouns or as defective verbs to escape from the direct attachment of inflectional morphemes.

Heterogeneity assessment of tumor in oncology is important for diagnosis of cancer and therapy. The aim of this study was performed assess heterogeneity tumor region in PET image using texture analysis. For assessment of heterogeneity tumor in PET image, we inserted sphere phantom in torso phantom. Cu-64 labeled radioisotope was administrated by 156.84 MBq in torso phantom. PET/CT image was acquired by PET/CT scanner (Discovery 710, GE Healthcare, Milwaukee, WI). The texture analysis of PET images was calculated using occurrence probability of gray level co-occurrence matrix. Energy and entropy is one of results of texture analysis. We performed the texture analysis in tumor, liver, and background. Assessment textural features of region-of-interest (ROI) in torso phantom used in-house software. We calculated the textural features of torso phantom in PET image using texture analysis. Calculated entropy in tumor, liver, and background were 5.322, 7.639, and 7.818. The further study will perform assessment of heterogeneity using clinical tumor PET image.

In this paper, we propose an adaptive histogram projection technique for dynamic range compression and an efficient detail enhancement method which is enhancing strong edge while reducing noise. First, The high dynamic range image is divided into low-pass component and high-pass component by applying ‘guided image filtering’. After applying ‘guided filter’ to high dynamic range image, second, the low-pass component of the image is compressed into 8-bit with the adaptive histogram projection technique which is using global standard deviation value of whole image. Third, the high-pass component of the image adaptively reduces noise and intensifies the strong edges using standard deviation value in local path of the guided filter. Lastly, the monitor display image is summed up with the compressed low-pass component and the edge-intensified high-pass component. At the end of this paper, the experimental result show that the suggested technique can be applied properly to the IR images of various scenes.

In this paper, we propose multi-scale infrared target detection algorithm with varied filter size using integral image. Filter based target detection is widely used for small target detection, but it doesn't suit for large target detection depending on the filter size. When there are multi-scale targets on the sky background, detection filter with small filter size can not detect the whole shape of the large targe. In contrast, detection filter with large filter size doesn't suit for small target detection, but also it requires a large amount of processing time. The proposed algorithm integrates the filtering results of varied filter size for the detection of small and large targets. The proposed algorithm has good performance for both small and large target detection. Furthermore, the proposed algorithm requires a less processing time, since it use the integral image to make the mean images with different filter sizes for subtraction between the original image and the respective mean image. In addition, we propose the implementation of real-time embedded system using FPGA.

In this paper, we propose an approach for real time computation of rayleigh CLAHE using a FPGA. The contrast enhancement technique should be applied in thermal equipment having a low contrast image. And thermal equipment must be processed in real time. The CLAHE is an improved algorithm based Histogram Equalization, but the HW design is complex. A value greater than a given threshold in CLAHE should be equally distributed on the other histogram bin, this process requires iterations for the distribution. But implementation of this processing in the FPGA is constrained, so this section was implemented on the assumption of the histogram distribution or modified the operation process or implemented separately in the CPU. In this paper, we designed a distinct redistribution operation in two stages. So FPGA was designed for easy, this was designed to be distributed evenly without the assumptions and constraints. In addition, we have designed a CLAHE with the rayleigh distribution to the FPGA. The simulation shows that the proposed method provides a better image quality in the thermal image.

In this paper, we propose the novel tracking method which uses the weighted discriminative correlation filter (DCF). We also propose the PSPR instead of conventional PSR as tracker performance evaluation method. The proposed tracking method uses multiple DCF to estimates the target position. In addition, our proposed method reflects more weights on the correlation response of the tracker which is expected to have more performance using PSPR. While existing multi-DCF-based tracker calculates the final correlation response by directly summing correlation responses from each tracker, the proposed method acquires the final correlation response by weighted combining of correlation responses from the selected trackers robust to given environment. Accordingly, the proposed method can provide high performance tracking in various and complex background compared to multi-DCF based tracker. Through a series of tracking experiments for various video data, the presented method showed better performance than a single feature-based tracker and also than a multi-DCF based tracker.

In this paper, we design and implement an Application based on android platform, which can control arduino Prime Smart Car using Bluetooth communication. This Application consist of Bluetooth communication module, manual mode module, and line-tracer mode module. In the Bluetooth communication module, it checks the on/off status of Smartphone Bluetooth. If Bluetooth status is off, it activates Bluetooth, selects the corresponding device from Bluetooth device list, and connects with a pair. In order to reduce coding time, we implements Bluetooth communication using inherited class from android Bluetooth package. In the manual mode module, it implements six direction moving button and stop button, which can control arduino Prime Smart Car. In the line-tracer mode module, it implements Prime Smart Car with self-driving function using TCRT5000 sensor. And moving button and stop button is disabled.

This paper proposes a novel traffic and resource management scheme based on Service Level Agreement (SLA) which allows to guarantee the quality of experience (QoE) for various high-quality mobile multimedia service users to a certain level. For this purpose, QoE-SLA coupling structure is considered and a novel scheme is suggested to suppress the processing delay of the mobile terminal and to decrease the transfer delay in the transmission network. According to simulation results, our proposed scheme can increase the total throughput and decrease the average delay by adjusting SLA.

All citizens will not be infringed communications rub. That can be seen to have the privacy freedom.lot (Internet of things) have released a security system in the era of information privacy appear that public safety and threat. Currently, Information and communication devices can be use criminal investigation, including search and seizure confirmed the fact communication of the communication restriction information storage medium for the common purpose of providing material system, the system provides data and communications. This paper focused on Privacy and open of information data by the Prosecutor and Police in korea. Privacy rights include that transparency information, communication, and protections for the rights of the individuals. It is necessary to be lawfulness of processing, individuals consent while Prosecutors investigations. especially we need explicit condition and National agency need to obtain in order to legitimize their processing of personal information data. The author emphasize are as follows: first, to examine Privacy rights information’ necessity and problem, second, to understand Privacy rights and limits , third, to suggest improvements for the purpose of Transparency, codes of conduct and Democracy of information.

In this paper, we define four levels of analysis, design, implementation, and testing of the configuration of the development phase by S/W development life cycle. In particular, it dealt with the stage of the analysis phase to prepare an information system developed intensively. Details of the derivation of the information security requirements, it can be seen that comes from the perspective of confidentiality, integrity, availability and accountability, etc. It dealt with from the first manifestations of the projects planning to final planning to establish information security in activities of the Information Security requirements. As an example exhibited by assessing the information security analysis phase activities of S corporations, it can be seen that the improved sales rise in information security activities.

This paper proposes a collective approach to cited text recognition by exploiting a set of citing text from different articles citing the same article. First, the proposed method gathers highly-ranked cited sentences from the cited article using a group of citing text to create a collective information of probable cited sentences. Then, such collective information is used to determine final cited sentences among highly-ranked sentences from similarity-based cited text recognition. Experiments have been conducted on the data set which consists of research articles from a computational linguistics domain. Evaluation results showed that the proposed method could improve the performance of similarity-based baseline approaches.

In this paper, we propose a new model, assembled ERP, to analyze the reason why the small and medium sized companies have a low ERP implementation rate and to solve this. As a result of our analysis, the high initial costs and time required for implementing ERP keep such companies from implementing it as they have relatively limited resources. The assembled ERP model, however, reduces the scale of ERP by developing the ERP for the unique business of each and connecting a few 3rd-Party applications as a module to make ERP for common work. Also it enables easier data utilization by drawing up an API list that connects the 3rd-Party applications to the developed ERP when the user lacks knowledge in the master data of the 3rd-Party applications. Therefore it lets the small and medium sized companies introduce the ERP more easily by reducing the costs for ERP implementation and user training.

Traditionally, in the hospital the doctors saw the TRUS images by their eyes and manually segmented the boundary between the prostate and nonprostate. But the manually segmenting process not only needed too much time but also had different boundaries according to the doctor. To cope the problems, some automatic segmentations of the prostate have been studied to generate the constant segmentation results and get the belief from patients. Besides, on detecting the boundary, the ones in the middle of all images are easy to find the boundary but the base and apex of the images are hard to do it since there are lots of uncertain boundary. Accurate detection of prostate boundaries is a challenging and difficult task due to weak prostate boundaries, speckle noises and the short range of gray levels. In this paper, we propose the method that extracts a prostate boundary using features of its directions on prostate image. As a result of our experiments, it shows that the boundary never falls short of the existing methods or human expert's segmentation. And also, its searching speed is too fast because the method searches a smaller area that other methods.

The present study was conducted to assess gender differences in the relationship between adiposity and systolic inter-arm blood pressure difference (sIAD) in Korean adults. In this paper, we propose a 410 adults (235 men and 175 women) who were over 30 years old and had undergone a health check participated from June to November 2013. The incidences of high sIAD (sIAD ≥10 mmHg) in males and females were 24.6% and 15.3%, respectively. We conducted a logistic regression analysis after adjusting for variables such as age, smoking, drinking, exercising, TC, TG, HDL-C, and FPG. Key study results were as follows: First, in men, the odds ratio (OR) of high sIAD of the obesity group was significantly higher than that of the normal weight group [2.25 (95% confidence interval (CI), 1.19–4.25)], but abdominal obesity was not associated with high sIAD. Second, in women, the OR of high sIAD of the abdominal obesity group was significantly higher than that of the non-abdominal obesity group [2.52 (95% CI, 1.03–6.13)], but obesity status was not associated with high sIAD. In conclusion, Obesity is associated with the incidence of high sIAD in Korean men, and abdominal obesity is associated with the incidence of high sIAD in Korean women.

In recommender systems based on collaborative filtering, measuring similarity is very critical for determining the range of recommenders. Data sparsity problem is fundamental in collaborative filtering systems, which is partly solved by Jaccard coefficient combined with traditional similarity measures. This study proposes a new coefficient for improving performance of Jaccard coefficient by compensating for its drawbacks. We conducted experiments using datasets of various characteristics for performance analysis. As a result of comparison between the proposed and the similarity metric of Pearson correlation widely used up to date, it is found that the two metrics yielded competitive performance on a dense dataset while the proposed showed much better performance on a sparser dataset. Also, the result of comparing the proposed with Jaccard coefficient showed that the proposed yielded far better performance as the dataset is denser. Overall, the proposed coefficient demonstrated the best prediction and recommendation performance among the experimented metrics.

In this paper, we propose factors that influence on the mobile commerce satisfaction conducted by data mining and a PLS regression analysis. We extracted the most frequent words from mobile application reviews in which there are a large number of user’s requests. We employed the content analysis to condense the large number of texts. We took a survey with the categories by which data are condensed and specified as factors that influence on the mobile commerce satisfaction. To avoid multicollinearity, we employed a PLS regression analysis instead of using a multiple regression analysis. Discovered factors that are potential consequences of customer satisfaction from direct requests by customers, the result may be an appropriate indicator for the mobile commerce market to improve its services

This paper investigates the empirical implications. The research question of this study is to verify the influences of psychological and environmental factors toward performance satisfaction and durability of learning in E-Learning University. For empirical verification, a survey was conducted targeting 500 students in E-learning Universities. The results show that actional environment on academic satisfaction in learning is the most important factor followed by physical environment, internal motivation, and academic burnout. The effect of psychological factors on learning persistence was important in the order of academic vision, internal motivation, actional environment and physical environment. The effect of academic satisfaction on learning durability proved to be statistically significant. The results suggest that actional environment should be considered with top priority to increase the academic satisfaction. learning satisfaction, academic vision, and academic satisfaction to enhance students' intention to continue studies are important. Academic burnout has a negative effect on both academic satisfaction and learning persistence, suggesting that this aspect should be properly addresses. The effects of student background variables in E-learning were explored.

In a rapidly changing global environment and the massive development in IT technology, Manufacturing SMEs have difficulties in lack of resources and competencies continued to have strong growth potential “Korean Hidden Champion(K Champ)”. In order to overcome the difficulties of Manufacturing SMEs, we examined the core competencies using the AHP and proposed the K Champ development strategy. The implications in the academic is as follows: First, the suggestions for development strategy plan was drawn for the K Champ’s core competencies with the recognized importance by the CEO or business executives. Secondly, the manufacturing SMEs were broken down by industry structural characteristics variables(sales amounts, industry sectors, business types and delivery methods) and the importance was investigated, analyzed and clarified. This study is intended to develop strategies of Gyeongsangnam-do manufacturing SMEs for K Champ such as German 'Hidden Champion'. We identified the importance of the level of core competencies and the coherent alternative policy direction and practical alternative were proposed. These mean the concrete relationship of core competencies for the K Champ transition and suggest a realistic directional needed for the local manufacturing SMEs in the proposed ‘Government's Development Policy for Korean Hidden Champion'.

This study analyzes the stock market reaction of disclosure of technological information using events which are collected in the Korean stock market for the thirteen-year period between January 2002 and December 2014. We find that abnormal return on the disclosure day of full sample firms is positive and statistically significant. However, abnormal return of high R&D intensity subsample is a larger positive number than that of the low one. Using a longer window, it shows that low R&D intensity negatively decreases the long term performance after the adoption of new technological information. The empirical evidence of the studying is expected to serve as a good judging guide-line for the investors.

Compiler course is one of the important courses in computer science. It requires more efficient learning environment because of its large coverage scale and complexity. One of its solutions is to provide the integrated development environment for educational compilers which is enable to give practice-oriented class and enhance student's interest. This paper presents the code generation support system developed in an integrated development environment of educational compiler. Our system helps students to understand the process of code generation and visualizes the relation among the source language, AST, and the target language. It makes students develop their own compilers more easily.