In this paper, we study the BESS of a standalone hybrid street light. The proposed BESS proposed a BESS with the function of efficiently charging irregularly generated power from two or more generators. AC generated by wind power is converted to DC using an AC / DC converter and then to a voltage that can charge the battery through the DC / DC converter. The lack of voltage and current, which is a disadvantage of the MPPT method used in solar power generation, is compensated by the DC value of wind power generation. The compensation method is to convert the DC generated from solar power into a voltage suitable for charging the battery through a DC / DC converter, and then connect the DC generated in wind power in parallel to compensate for the insufficient current to charge the battery in a short time. Allow this to begin. By securing the maximum charging time, the usage time of the stand-alone hybrid street light is huge. Experimental results show that the battery has a short charging time and can be efficiently applied to battery-dependent standalone hybrid street lights.

Sun power generation systems which use large capacity centralized inverters have loss of power generation due to cloud and building shadows, pollution, cell deterioration, etc. To minimize loss of power generation, decentralized solar power systems using multiple micro-inverters are being proposed as an alternative. A distributed solar power system consisting of a system-connected system uses power line communication to collect data from the micro-inverters. Power line communication has the advantage of using power lines without separate lines for data transmission, but in distributed solar power generation systems that use a large number of micro-inverters, the bit error rate is less reliable due to the phenomenon caused by limited transmission power, high load interference and noise, variable signal attenuation, and impedance characteristics. So we proposed wireless intelligent controller for micro-inverter that is used to build distributed solar power systems. and we design and implement that. Further, the proposed wireless intelligent controller for micro-inverter was used to establish a small-volume solar power plant to check its function and operation.

Recently, with the rise of environmental issues and the change of government policy (Renewable Energy 3020 Implementation Plan), a large amount of renewable energy such as solar and wind power is connected to the power system, and most of the renewable energy is concentrated in the power distribution network. This causes many problems with the voltage management and the protection coordination of the grid due to the its intermittent power generation. In order to effectively operate the distribution network, it is necessary to deploy more intelligent terminal devices in the field to measure the status of the distribution network and develop various operation functions such as visualization and big data analysis to support the power distribution system operators. In addition, the failover technology must be supported for the non-stop operation of the power distribution system. This paper proposes the system architecture of new power distribution management system to cope with high penetration of renewable energy. To verify the proposed system architecture, the functional unit test and performance measurement were performed.

This paper proposes an adaptive PCIe system for TI C66x DSPs. Conventionally, the PCIe system provided by the C66x is a system dependent on the structure in which the primary core writes an application to the DSP memory through the PCIe interface, then activate the secondary core. Due to the dependency between the cores, when developing a project using a PCIe interface, the remaining cores have to be programmed with a concern of the primary core used as the PCIe interface. Therefore, in order to de-couple the connections among the cores, an adaptive PCIe system is proposed, in the paper, in which the cores operate independently compared to the conventional system. Since the core used as the PCIe interface only runs PCIe related operations in the new system, the remaining cores can be fully utilized without concerning the connections with the core for PCIe interface. In order to verify the feasibility of the proposed adaptive PCIe system, the implementations of LTE-A down link, and IEEE 802.11ac are carried out using the evaluation board which includes a TMS320C6670 chip. Altogether, these results support that we demonstrated that the digital signal processing systems with the PCIe Interface can be developed more rapidly by applying the proposed system.

Patents are system to promote the development of industry by disclosing technology. The importance of recent patent is being emphasized. For this reason, companies apply for many patents. And they analyze the patent. Patent analysis helps to protect and foster their technology. Previously this method has been carried out by experts. Expert-based patent analysis, however, has the disadvantage of being time-consuming and expensive. Consequently, we try to solve this problems by developing prediction model. Therefore, this paper proposes a data-based patent analysis method using quantitative indicator and textual information. We confirmed the practical applicability of the proposed method through 1,831 autonomous vehicle patents. As a result, it was possible to confirmed that safety and lane detection related technologies are important.

Recently, as the number of Smart Phone users increase, the simple payment system has been able to make payments using only card information such as a registered password without extra authorized certificate authentication or input of card information. In this paper, it will examine and analyze simple payment system provided by IT companies and financial institutions and the simple payment system that operates global online payment system by case view of operational direction. Then with this examination, it will study ways to improve the problems with terms of convenience and stability in terms of users. In this paper, it will analyze the inconvenient problem in using the QR code system that recently introduced and will propose solutions. Also, it will propose suggestions to solve inconvenience that caused by system that supports NFC simple payment terminal in Korea is not universalize by analyze case study on the overseas simple payment system. It will also propose opinions on the matters that customer having responsible for event of a small financial accident related to loss or theft when using the simple payment system. Then it will suggest expected requirements to prepare new security technical countermeasures and solve the conditions of meeting expectation satisfaction of users.

The subject of the simultaneous measuring system of base pattern and deposition pattern is a new research topic on a defect inspection of OLED. In this paper, we propose a new OLED inspection method that simultaneously measures standard and deposition pattern images. This method reduces unnecessary processes and tac time during OLED inspection. For an additional reduction of the tac time during pattern measurement, the ROI was configured to measure only in the designated ROI area instead of measuring the entire area of an image. During the ROI set-up, the value of effective deposition pattern area is included so that if the deposition pattern is out of the ROI zone, it would be treated as a defect before measuring the size and center point of the pattern. As a result, the tac time and inspection process could be shortened. The proposed method also could be applied to the OLED manufacturing process. Production of OLED could be increased by reducing tac time and inspection process.

Various researchers conducted the research on two-factor authentication suitable for wireless sensor networks (WSNs) after Das first proposed two-factor authentication combining the smart card and password. After then, To improve the security of user authentication, elliptic curve cryptography(ECC)-based authentication protocols have been proposed. Jiang et al. proposed a privacy-aware two-factor authentication protocol based on ECC for WSM for resolving various problems of ECC-based authentication protocols. However, Jiang et al.'s protocol has the vulnerabilities on a lack of mutual authentication, a risk of SID modification and a lack of sensor anonymity, and user's ID exposed on sensor node Therefore, this paper proposed security enhanced privacy-aware two-factor authentication protocol for wireless sensor networks to solve the problem of Jiang et al.'s protocol, and security analysis was conducted for the proposed protocol.

This paper presents a SDR-based Long Term Evolution Advanced (LTE-A) Physical Downlink Shared Channel (PDSCH) decoder using a multicore Digital Signal Processor (DSP). For decoder implementation, multicore DSP TMS320C6670 is used, which provides various hardware accelerators such as turbo decoder, fast Fourier transformer and Bit Rate Coprocessors. The TMS320C6670 is a DSP specialized in implementing base station platforms and is not an optimized platform for implementing mobile terminal platform. Accordingly, in this paper, the hardware accelerator was changed to the terminal implementation to implement the LTE-A PDSCH decoder supporting the multi-antenna and the functions not provided by the hardware accelerator were implemented through core programming. Also pipeline using multicore was implemented to meet the transmission time interval. To confirm the feasibility of the proposed implementation, we verified the real-time decoding capability of the PDSCH decoder implemented using the LTE-A Reference Measurement Channel (RMC) waveform about transmission mode 2 and 3.

This paper presents a software design and implementation of software-defined radio based IEEE 802.11ac encoder using Texas Instruments TMS320C6670 digital signal processor (DSP) platform. In this paper, the implemented encoder has the capability of generating all the signals consisting of preamble field and data field under different modulation & coding scheme in the IEEE 802.11ac standard. Moreover, the flexibility in choosing different rate, bandwidth, or mode can also be achieved by software reconfiguration using the DSP. As a result, by utilizing the computing power provided by multi-cores as well as the FFT coprocessors in the DSP, the required maximum throughput 78Mbps can be fully reached within 4 ㎲ for each OFDM symbol in the case of 20MHz bandwidth of IEEE 802.11ac.

A patent contains detailed information of the developed technology and is published to the public. Thus, patents can be used to overcome the limitations of traditional technology trend research and prediction techniques. Recently, due to the advantages of patented analytical methodology, IP R&D is carried out worldwide. The patent is big data and has a huge amount, various domains, and structured and unstructured data characteristics. For this reason, there are many difficulties in collecting and researching patent information. Patent research generally writes the Search formula to collect patent documents from DB. The collected patent documents contain some noise patents that are irrelevant to the purpose of analysis, so they are removed. However, eliminating noise patents is a manual task of reading and classifying technology, which is time consuming and expensive. In this study, we propose a model that automatically classifies The Noise patent for efficient patent information research. The proposed method performs Patent Embedding using Word2Vec and generates Noise seed label. In addition, noise patent classification is performed using the Random forest. The experimental data is published and registered with the USPTO among the patents related to Ocean Surveillance & Tracking Network technology. As a result of experimenting with the proposed model, it showed 73% accuracy with the label actually given by experts.

The digital forensic analysis ensures the integrity of confiscated data by calculating hash values for seizure and search of digital evidence and receiving confirmation and signature from participants. However, evidence that is irrelevant to the alleged offense needs to be deleted even after seizure from the point of view of privacy. But the hash value is altered by deleting the irrelevant data from the image file, one will not be able to prove that the file is in the initial state when it was seized. Therefore, in this paper, a study was conducted to support the integrity of the digital evidence, even if some of the seized digital evidence was deleted or damaged during the seizure search. The hash value of each data is calculated and hash value of the combination of hash values are also calculated. Even if the unrelated evidence is deleted from the seized evidence regardless of file system such as FAT or NTFS, the suggested method presented a way to provide the integrity that proves there is no change in the evidence file.

This study aims to explore a plan for the educational application of K-MOOC brought into relief as a new education system and to draw a direction of improvement for increasing learners' satisfaction through the development and operation of the K-MOOC Course. The colleges produce and provide the MOOC Course as a counterplan through college innovation to respond to social changes due to the reduction of school-age population. Thus, this study selected the target courses for the operation of K-MOOC and proceeded with the development of a course, referring to the guidelines for the development and operation of the K-MOOC Course at the National Institute for Lifelong Education with the quantity for 14 weeks (About 50 minutes per week) for the period of the development of the course of about 5 months. The development of the course was made in the stages of design, development, inspection, and operation. The implications of the operation of K-MOOC obtained through this study are as follows: First, in order to increase the utilization of the MOOC Course, it is necessary to operate it in connection with the regular curriculum; second, it is necessary to have desirable communication to induce the interaction and academic motivation between the instructor and the learners; and third, it is necessary to analyze the relationship of the impact by each background factor through analyzing satisfaction with the lecture and continue to assure the quality of the course through understanding the learners' demands. For this purpose, it is important to experience new attempts directly and analyze the performance of education and the satisfaction of consumers and the instructor in detail, and it is necessary to construct a curriculum suitable for K-MOOC and seek an effective teaching method.

As the NCS(National Competency Standards) classification system continued to be developed and supplemented, NCS became widespread. Qualifications were redesigned to actively reflect industry demands, reduce the burden of redundant acquisition of unnecessary qualifications, and to evaluate objective capacities of the workforce. In addition to the learning modules to be developed in the future, previously developed NCS-based learning modules and lectures should be reorganized based on the new qualification design. In this paper, the Java programming subject designed based on NCS was redesigned according to SW new qualification design. Since the redesigned Java programming subjects consider the qualification design direction or qualification roadmap, not only can they be recognized as a test subject in qualification assessment through course evaluation, but also can be used as individual qualification data.

This paper is designed to examine the effectiveness of Computational Thinking and programming awareness by designing and applying programming classes using Havruta. In the present society, where the Fourth Industrial Revolution was in full swing, the capacity to be equipped has changed, and the education has been changed accordingly. Programming education is logically capable of thinking and improves comprehensive problem solving skills. This direction of programming education allows us to get ideas for solving problems based on computing thoughts and to create our own creative results. However, because they require the grammar of the programming language and many additional abilities, they are not easy for learners, and individual differences in competencies make learning less immersive and interesting. In this paper, to solve the problems of the uniform programming class, this study is designed and applied to the class applying the Jewish traditional teaching method, Havruta's teaching method, to find out the effect of computing thinking and programming perception.

In case of reading passport using a smart phone in contrast with a dedicated passport reading system, MRZ(Machine Readable Zone) character recognition can be hard when the character strokes were broken, touched or blurred according to the lighting condition, and the position and size of MRZ character lines were varied due to the camera distance and angle. In this paper, the effective recognition algorithm of the passport MRZ information using a combined neural network recognizer of CNN(Convolutional Neural Network) and ANN( Artificial Neural Network), is proposed under the various sized and skewed passport images. The MRZ line detection using connected component analysis algorithm and the skew correction using perspective transform algorithm are also designed in order to achieve effective character segmentation results. Each of the MRZ field recognition results is verified by using five check digits for deciding whether retrying the recognition process of passport MRZ information or not. After we implement the proposed recognition algorithm of passport MRZ information, the excellent recognition performance of the passport MRZ information was obtained in the experimental results for PC off-line mode and smart phone on-line mode.

The purpose of this study was to understand the influence of research of consumers' consumption values and toward usage attitude, usage intention and willingness to pay of modern people. The study is a consumer research about food delivery services which is rapidly grown up due to recent transformation on a modern dietary life. This study was based on the main survey had conducted from 23th May 2019 to 26th May 2019 by 336 consumers, aged 18 and older, who had experienced Food delivery services in the past. Statistical analysis was performed by using the IBM SPSS v.25.0. In summary, the results of this study are as follows. First, consumption values of food delivery services had a positive influence on usage attitude. Consumption values were catagorized in five sub-values: functional value, social value, emotional value, epistemic value, and conditional value, all of which were found to be significant in affecting on usage attitude. Second, usage attitude toward food delivery services had a positive influence on usage intention. Third, usage attitude toward food delivery services had a positive influence on willingness to pay. Fourth, usage intention of food delivery services had a positive influence on willingness to pay. The results of the study renders industrial and academic implications to the area of Food delivery services industry.

Based on the theory of planning behavior, the purpose of this study was to validate the path to consumers organic bakery product purchasing process, and moderating effect of price sensitivity. The improvement of national income and changes in diet due to economic growth began to increase consumption of organic and eco-friendly farm products, and thus products using organic materials began to be released in bakeries. Thus, it was necessary to understand consumer awareness and purchasing processes for organic bakery products. Specifically, the study examined the structural relations among purchase reasons, purchase motives, and purchase behavioral intention of organic bakery products. A survey was conducted in May 2019 from adults who had experience purchasing organic bakery products in Seoul metropolitan area, and 327 responses were used for data analysis. The findings of the study showed that consumers' interests in health, food safety, and environment had positive effects on their attitudes, subjective norm, and perceived behavioral control toward organic bakery products, while their interests in organic products did not have an effect on perceived behavioral control. There were significant differences in the purchasing process of organic bakery products according to their price sensitivity. The study suggests that the correct delivery of information on organic ingredients and the price policies available to many consumers will contribute to the revitalization of organic bakery products.

The purpose of this study is to analyze the adoption of Kakao Bank in terms of benefits (functional, social, experiential, economic benefits) and differentiated services (customization and service diversity) considering service types. Benefits are personal value consumers attach to the product or service attributes and, therefore, more important than attributes of service itself when using Kakao Bank in the internet based environment. Data was collected using an online and offline survey of 131 Kakao Bank users and analyzed the data using structural equation model (SEM). The results of empirical analysis using SmartPLS show that functional benefit, experiential benefit, and customization are significantly related to the user's satisfaction, but economic benefits, social benefit, and service variety are not. Customer's satisfaction are also showed significantly to be related to the all types of Kakao Bank usage(balance check, transfer, and other services). This study has the significance in that it examines the user's satisfaction and usage of Kakao Bank in terms of benefits and differentiated services while other studies analyzed banking services focusing on the attributes of banking channel itself.

The purpose of this study is to identify the maturity stages of venture firms through classification analysis, which is widely used as a big data technique. Venture companies should develop a competitive advantage in the market. And the maturity stage of a company can be classified into five stages. I will analyze a difference in the growth stage of venture firms between the survey response and the statistical classification methods. The firm growth level distinguished five stages and was divided into the period of start-up and declines. A classification method of big data uses popularly k-mean cluster analysis, hierarchical cluster analysis, artificial neural network, and decision tree analysis. I used variables that asset increase, capital increase, sales increase, operating profit increase, R&D investment increase, operation period and retirement number. The research results, each big data analysis technique showed a large difference of samples sized in the group. In particular, the decision tree and neural networks' methods were classified as three groups rather than five groups. The groups size of all classification analysis was all different by the big data analysis methods. Furthermore, according to the variables' selection and the sample size may be dissimilar results. Also, each classed group showed a number of competitive differences. The research implication is that an analysts need to interpret statistics through management theory in order to interpret classification of big data results correctly. In addition, the choice of classification analysis should be determined by considering not only management theory but also practical experience. Finally, the growth of venture firms needs to be examined by time-series analysis and closely monitored by individual firms. And, future research will need to include significant variables of the company's maturity stages.

Privacy paradox is a paradoxical behavior that provides personal information even though you are concerned about privacy. Social media users are also often concerned about their personal information exposure. It is even reluctant to describe personal information in profile. However, some users describe their personal information in detail on their profile, provide it freely when others request it, or post their own personal information. The survey was conducted using Google Docs centered on Facebook users. Structural equation model analysis was used for hypothesis testing. As an independent variable, we use personal information infringement experiences. As a mediator, we use privacy indifference, privacy concern, and the relationship with the act of providing personal information. Social media users have become increasingly aware of the fact that they can not distinguish between the real world and online world by strengthening their image and enhancing their image in the process of strengthening ties, sharing lots of information and enjoying themselves through various relationships. Therefore, despite the high degree of privacy indifference and high degree of privacy concern, the phenomenon of privacy paradox is also present in social media.