https://pubs.kist.re.kr/handle/123456789/75396 Tue, 07 Apr 2026 11:56:54 GMT 2026-04-07T11:56:54Z https://pubs.kist.re.kr/handle/201004/114683 Title: Characteristics of amplitude modulation cantilever sensor with optical waveguide in liquid Authors: Lee, Kyung Woon; Kim, Jinsik; Park, Jung Ho; Chae, Myung-Sic; Hwang, Kyo Seon; Lee, Dong-ho Abstract: We present the basic characteristics of amplitude modulation cantilever with optical waveguide in liquid. This optical waveguide cantilever-based transducer can be used for small particle detection or biological sensing in liquid environments. Essentially, the SiON waveguide embedded in the SiO2 cantilever is designed and fabricated to detect the biomolecular interaction or small particle in the liquid. For a measurement, the actuation based on amplitude modulation is applied for a stable oscillation of the cantilever in liquid environment. Finally, modulated output signal of optical waveguide cantilever were measured and analyzed. Sun, 01 Jan 2017 00:00:00 GMT https://pubs.kist.re.kr/handle/201004/114683 2017-01-01T00:00:00Z https://pubs.kist.re.kr/handle/201004/114682 Title: Mutual Exclusion Strategy in a Cloud-of-Clouds Authors: Seo, Dongmahn; Song, Gyuwon; Kim, Suhyun Abstract: A cloud-of-clouds is a virtual cloud storage service using heterogeneous public cloud storage services. To support concurrent accesses for multiple clients, a mutual exclusion is necessary in a cloud-of-clouds. In this paper, we propose a mutual exclusion strategy for concurrent accesses in a cloud-of clouds. The proposed strategy includes an atomic operation for cloud-of-clouds, a deadlock recovery method and a race condition control method. Sun, 01 Jan 2017 00:00:00 GMT https://pubs.kist.re.kr/handle/201004/114682 2017-01-01T00:00:00Z https://pubs.kist.re.kr/handle/201004/114681 Title: Novel crowdsourced Fingerprint database update strategy using clustering and pattern matching techniques Authors: Yu, Boseon; Lee, Taikjin; Bang, Jaewon; Shin, Beomju Abstract: In fingerprint-based localization system, the difference between the radio map and RSS signatures in the real world is a major factor for deteriorating localization accuracies. Unfortunately, such differences could happen for many reasons including AP relocation, addition, deletion or new walls. Recalibrating the radio map, however, is not only labor-intensive and but also time-consuming. Thus, autonomous fingerprint database update may have a huge impact on building more cost-effective location estimation/tracking system since it could prevent frequent radio map calibration and recalibration. In order for the current RSS signatures to be applied to the radio map automatically, we propose a novel path detection algorithm which uses clustering-based localization and pattern recognition technique. Our approach is capable of finding accurate path even if the path includes areas over which RSS conditions have been changed since our system employs a whole sequence of RSS signatures instead of a single RSS signature. Our extensive sets of experiments report up to 5 times more accurate localization estimations comparing to clustering-based localization techniques even under changed RSS conditions are given. Sun, 01 Jan 2017 00:00:00 GMT https://pubs.kist.re.kr/handle/201004/114681 2017-01-01T00:00:00Z https://pubs.kist.re.kr/handle/201004/114680 Title: Particle filter and clustering based robust positioning algorithm in the WiFi weak signal environment Authors: Shin, Beomju; Yu, Bo seon; Lee, Taikjin; Kim, Jaehun; Bang, Jaewon Abstract: To estimate a position in the indoor environment, WiFi positioning system (WPS) is useful technology in view of positioning performance, cost, availability. Especially, particle filter (PF) present a stable performance by integrating WiFi signal and sensor output such as accelerometer and gyroscope. But the initial positioning error remains a problem. In this paper, we propose the pattern matching algorithm and clustering approach to correct the initial positioning error. To make a weak WiFi environment, we utilize only 20% installed access point (AP). We identify that the proposed algorithm makes a stable positioning performance than the conventional PF. Sun, 01 Jan 2017 00:00:00 GMT https://pubs.kist.re.kr/handle/201004/114680 2017-01-01T00:00:00Z