Cloud network system determining the optimal transmission power and modulation levelChangbae Roh; Sung‐Ryong Hong; Won Shik Na
2014 Journal of Systems and Information Technology
doi: 10.1108/JSIT-12-2013-0070
Purpose – This paper suggested a model for sensing security at the cloud computing environment using the cognitive radio (CR) system. The proposed sensing security technique at the cloud situation enables the authors to estimate the distance of the IT equipment by means of the perceived information, namely the value of interfering temperature from the spectrum sensing. The paper aims to discuss these issues. Design/methodology/approach – In this paper, how IT devices can communicate within the current frequency is studied. Based on this, techniques for CR cloud network system of the sensing security are proposed. Findings – Based on the information of this value of distance, the user of the electric wave cognition could maintain security up to the maximum level within the range beyond intervention influence, deciding the maximum transmission of electricity which is available. Originality/value – The proposed technique in this paper may lead the user perceiving the electric wave to select the adapted modulation level by considering the transmitted electricity and the interference temperature level of the given channel situation.
Business information system recovery priority decision using TOPSIS on interval dataKi‐Yoon Kim; Kwan‐Sik Na
2014 Journal of Systems and Information Technology
doi: 10.1108/JSIT-12-2013-0068
Purpose – The extended TOPSIS approach including the analytical hierarchy process method is used to solve business recovery priority decision problem mixed with interval data and exact data of an insurance company. The paper aims to discuss these issues. Design/methodology/approach – According to the concept of TOPSIS, the authors construct the normalized decision matrix and the weighted normalized decision matrix. Using the vertex method, the authors calculate the distance of each alternative from the positive or negative ideal solution. Findings – The proposed TOPSIS algorithms on interval data provide a useful framework for systematic risk assessment that an incident or disaster manager can use to prioritize recovery during business discontinuity. Research limitations/implications – As a managerial implication, the proposed method can be applied to any case for providing information for risk management decision‐making in industrial and service organizations. As for a future direction, other decision‐making methods can be included in the methodology to ensure more integrated and/or comparative study. Practical implications – The ratings and weights of the criteria in the decision problem are assessed by means of interval data. The use of the interval data in decision problem is highly beneficial when performance values cannot be expressed by means of numerical values. The authors extended the TOPSIS approach for solving MCDM problem with interval data as well as exact data. Social implications – The authors have shown how TOPSIS method on interval data can be used to provide priority decision for business recovery of an insurance company. The proposed method provides the authors a useful way to deal with a business recovery problem, where the values of evaluating items are represented by generalized exact numbers or interval‐valued numbers. Originality/value – The proposed approach has the potential to resolve incident and disaster management and can be applied to the implementation of business recovery plan for business continuity.
Implementation of electronic acupuncture using fuzzy rulesYousik Hong; Man Ki Kim; Gyu Hyun Kim
2014 Journal of Systems and Information Technology
doi: 10.1108/JSIT-11-2013-0063
Purpose – Implementation of intelligent electronic needles is presented that can judge the physical conditions of a patient and be applied anytime anywhere with the information of pulse waves sent from a remote place through the web. The paper aims to discuss these issues. Design/methodology/approach – The present research developed a web‐based system of electronic acupuncture using fuzzy rules. Anybody can use his or her smart phone and select a file in the menu that automatically calculates optimal points and time of acupuncture. Findings – A set of experiments found improvement of the time of acupuncture by 25 percent. Originality/value – The present research developed a web‐based system of electronic acupuncture using fuzzy rules. Anybody can use his or her smart phone and select a file in the menu that automatically calculates optimal points and time of acupuncture. A set of experiments found improvement of the time of acupuncture by 25 percent.
Advanced face recognition and verification in mobile platformsYong‐Hwan Lee; Hyochang Ahn; Han‐Jin Cho; June‐Hwan Lee
2014 Journal of Systems and Information Technology
doi: 10.1108/JSIT-11-2013-0060
Purpose – This paper holds a big advantage to enable to recognize faces, regardless of time and place. Also this provides an independent performance of smart phone, because of its process by a computer of third party not by that of the mobile device. In addition, it is desirable to minimize the expensive operations in mobile device with constraint computational power (i.e. battery consumption). Thus, the authors exclude the process of transmission failed from the input device. The paper aims to discuss these issues. Design/methodology/approach – In this paper, the authors have proposed a new face detection and verification algorithm, based on skin color detection to enable extracting the face region from color images of the mobile phone. And then extracted the facial feature as eigenface, verified whether or not the identity of users is right, applied support vector machine to the region of detected face. Findings – The experimental results for two datasets show that the proposed method achieves slightly higher efficiencies at the detection and verification of user identity, compared with other method, where varying lighting conditions with complex backgrounds, according to be fast and accurate than any other previous methods. Originality/value – The proposed algorithm enables to implement fast and accurate search using triangle‐square transformation for detection of human faces in a digital still color images, obtained by the mobile device camera under unconstraint environments, using advanced skin color model and characteristic points in a detected face.
Fuzzy integral‐based emotion inference on personalized V‐A emotional spaceIl‐Kyoung Kwon; Sang‐Yong Lee
2014 Journal of Systems and Information Technology
doi: 10.1108/JSIT-11-2013-0057
Purpose – The focus in ICT development has shifted from performance to maximization of tangibility. In particular, the interests in emotion‐based services increase and more attention is paid to improving the quality of service and maximizing tangibility. Hence, it is necessary to model human emotions and utilize inferred emotions for services in order to enhance the quality of emotion‐based personalized services. To this end, this study aims to model personalized emotional space by means of V‐A emotion model and to suggest a fuzzy‐based emotion inference method. Design/methodology/approach – This study takes advantage of V‐A emotion model, AHP and fuzzy integral technique to implement an emotion inference based on the quantitative evaluation and systematic expression of human emotions. By means of AHP, the personalized V‐A emotion model was established. Fuzzy measure and Choquet integral methods were applied for emotion inference based on the inputs of valence and arousal (V‐A) values, with the results evaluated in an experiment. Findings – Thayer's emotion model structures 12 human emotions in reference to V‐A values. This structure, however, may differ depending on individuals, and thus a method to measure and express it appropriately is necessary. This study evaluates the relative weight of 12 emotions based on AHP and regularizes them to compose the personalized V‐A emotional space by drafting the V‐A model. In addition, fuzzy integral‐based emotion inference has been tested in reference to the V‐A values on the established V‐A emotion space. Originality/value – Fuzzy integral‐based emotion inference has been tested in reference to the V‐A values on the established personalized emotion space.