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Vol.2 No.4

Kim, Seung-Uk ; You, Hee-Gyeong ; Jeong, In-Cheol ; Kim, Tai-Woo pp.1-8 https://doi.org/https://doi.org/10.20465/kiots.2016.2.4.001
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Abstract

In order for consumers to purchase products and event products offered at each convenience store at a low price, visitors should visit the convenience store's homepage or visit the store directly. In this study, we developed an app program for each convenience store to find out which products are event products and which services are provided at certain convenience stores. Using this app, users can search real-time on various services including event information provided by various convenience stores.

Choi, Jongmyung ; Cho, Kwangmoon ; Kwak, Youngki pp.9-14 https://doi.org/https://doi.org/10.20465/kiots.2016.2.4.009
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Abstract

The range of use of drones is gradually expanding from military to commercial applications. In the field of agriculture, there have been many studies to utilize drones, but there have been relatively few efforts to utilize drones in the marine and fisheries sectors. In this paper, we propose drones and system requirements for marine and fisheries applications. Marine and fisheries monitoring using drones is expected to be more effective and cost effective than existing methods.

Kim, Jong-Min ; Ryu, Gab-Sang pp.15-20 https://doi.org/https://doi.org/10.20465/kiots.2016.2.4.015
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Abstract

This paper describes the construction of knowledge data retrieval management system based on medical image CT. The developed system is aimed to improve the efficiency of the hospital by reading the medical images using the intelligent retrieval technology and diagnosing the patient 's disease name. In this study, the medical image DICOM file of PACS is read, the image is processed, and feature values are extracted and stored in the database. We have implemented a system that retrieves similarity by comparing new CT images required for medical treatment with the feature values of other CTs stored in the database. After converting 100 CT dicom provided for academic research into JPEG files, Code Book Library was constructed using SIFT, CS-LBP and K-Mean Clustering algorithms. Through the database optimization, the similarity of the new CT image to the existing data is searched and the result is confirmed, so that it can be utilized for the diagnosis and diagnosis of the patient.

Song, Pil-Jae ; Ryou, Hee-Sahm pp.21-25 https://doi.org/https://doi.org/10.20465/kiots.2016.2.4.021
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Abstract

In this paper, we review curriculum of VR related Departments in 2-3 years colleges. We gather the educational requirements from the current and future VR industry, and we survey the VR short education courses and the curriculum. The demand for VR content is expected to more than triple by 2020 compared to the equipment industry. Therefore, a VR course at a practical two-year college should have a lot of contents-oriented curriculum.

Yoon, Byoungjin ; Lee, Hyeongseok ; Lee, Dohee ; Park, Bongkyun ; Lee, Hyung-Woo pp.27-34 https://doi.org/https://doi.org/10.20465/kiots.2016.2.4.027
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Abstract

In this paper, we designed and implemented a system to easily check and manage book inventory using web and Android mobile device. In the previous conventional method, the user visits the bookstore directly and then checks the inventory. However, in this case, the user accessibility is inconvenient, and it is troublesome to check or reconfirm the inventory. In order to solve these inconveniences, we provide book inventory management system for requesting book purchase and inquiring bulletin board by book field, and then providing real time inventory check with book application and purchase functions. In addition, through the push notification function, we can catch up with the purchase status of the ordered books on the web and Android mobile device in real time. Therefore, we designed and implemented a function that enables bookstore operators and users to easily and conveniently manage by providing statistical information on inventory data.

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Abstract

This paper is about IoT(Internet of Things)-based indoor localization scheme. GPS and WiFi are widely used to estimate the location of things. However, GPS has drawback of poor reception and radio disturbance in doors. To estimate the location in WiFi-based method, the user collects the information by scanning nearby WiFi(s) and transferring the information to WiFi database server. This is a fingerprint method with disadvantage of having an additional DB server. IoT is the internetworking of things, and this is on rapid rise. I propose the IoT-based indoor localization scheme. Under the proposed method, a device internetworking with another device with its own location information like GPS coordinate can estimate its own location through RSSI. With more devices localizing its own, the localization accuracy goes high. The proposed method allows the user to estimate the location without GPS and WiFi DB server.

Lee, Chan-Haeng ; Choi, Chang-Won pp.41-47 https://doi.org/https://doi.org/10.20465/kiots.2016.2.4.041
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Abstract

The IP address used in the Internet has the role of both identifier and locator to bind a host and the application, however, this binding restricts some functions such as mobility and multi-homing. As a result, we suggested a host ID-LOC separation protocol using DHT with SDN features. The proposed scheme is a network-based scheme, and uses IPv6 addresses. The underlying network is partitioned into Host Identity domain and IP domain for identifiers and locators. In this paper, we present a simple cost model for analyzing both the proposed scheme and one of the previous works, the MOFI. The result of cost analysis shows better performance of the proposed scheme.

Journal of The Korea Internet of Things Society