• Journal of Families and Better Life
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• v.32 no.6
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• pp.139-154
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• 2014

This study aims to devise a tool which can identify the concept of 'consumption happiness' and to develop a standardized scale to measure consumption happiness. How can we measure consumption happiness? Based on it, the concept and perspective of consumption happiness was formed and then the scale for measuring it was developed. To develop the scale, questions were extracted through a literature survey, an FGI interview was conducted and validity was verified through experts' opinions. Then the scale was developed by conducting a questionnaire survey for consumers. For the analysis of the research, SPSS 20. 0 for Windows and AMOS 17.0 were used and 500 consumers responded to an online survey. In order to examine the general characteristics of the investigation object, the technical statistics of frequency, percentage, average and standard deviation were performed. To develop the research, test-retest correlation, item-to-total correlation, Cronbach's ${\alpha}$ reliability, exploratory factor analysis and confirmatory factor analysis were conducted. The final 20-item consumption happiness scale, which consisted of four factors, was constructed in the end.

• The Journal of the Korea Contents Association
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• v.8 no.7
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• pp.252-258
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• 2008

There are 2,100,000 disabled peoples in korea. 62% of them didn't graduate from high school. Because their low scholarship has been negative influence on economic life, We have to prepare a measure for raising their scholarship. Therefore, in this paper I propose a measure that the scholarship of the disable will be raise. That is to establish a Air & Correpondence High School at special school. Also I propose a measure that the disable have access to internet easier than now. That is to make a technology standard and a content for the disable.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.8 no.3
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• pp.92-99
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• 1999

The inspection unit which is developed and used in this study, is processed the shape data from the CCD camera to seek welding bite section shape, and then calculated as a real dimension from measuring the value of each inspection item. The reason of measuring with the real in this study is came out from the image method which used for a long time, which is extricated the characteristic as the dimension of pixel by recognize pixel. The measurement method of the section shape is that we decide the thresholding value after we drew the histogram to binarizate the object. After that, we make flat the object to get rid of the noise and measure the shape of welded part through the boundarization of the object. The shape measurement is that measure the value of the welding part to adapt the actual operation program from using the ratio between the actual dimension of the standard specimen and the dimension of image, to measure the ratio between the actual product and the camera image. The inspection algorithm which estimates the quality of welded product is developed and also, the software GUI(Graphic User Interface) which processes the automatic test function of the inspection system is developed. We make the foundation of the inspection automatic system and we will help to apply other welding machine.

• International journal of advanced smart convergence
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• v.5 no.2
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• pp.73-79
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• 2016

Remote sensing and measurement are of paramount importance of providing information on the state of water quality in water bodies. The formation and growth of cyanobacteria is of serious concern to in land aquatic life forms and human life. The main cause of water quality deterioration stems from anthropogenic induced eutrophication. The goal of this research to quantify and determine the spatial distribution of cyanobacteria concentration in the water using remote sensing technique. The standard approach to measure water quality based on the direct measurement of the fluorescence of the chlorophyll a in the living algal cells and the same approach used to detect the phycobilin pigments found in blue-green algae (a.k.a. cyanobacteria), phycocyanin and phycoerythrin. This paper propose the emerging sensor design to measure the water quality based on the optical analysis by fluorescence of the phycocyanin pigment. In this research, we developed an method to sense and quantify to derive phycocyanin intensity index for estimating cyanobacteria concentrations. The development of the index was based on the reflectance difference between visible light band 620nm and 665nm. As a result of research this paper presents, an optical biological sensor design information to measure the Phycocyanin parameters in water content.

• IEMEK Journal of Embedded Systems and Applications
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• v.15 no.4
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• pp.167-175
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• 2020

A blood-glucose meter is one of the in vitro diagnostic devices to measure and control the glucose concentration of diabetics. In order to measure the glucose level in the blood, the common method is to measure the amount of electrons, that is, the output current generated by glucose oxidation after a blood sample is inserted into the test strip containing an enzyme. The hematocrit is an obstacle in measuring accurate blood glucose concentration. This paper deals with the design and implementation of a blood-glucose meter to correct the hematocrit interference. We propose a sequential method which measures impedance using the alternating current and then measures glucose in the blood using the direct current. In addition, this paper introduces how to use commercial glucose strips based on the proposed system. Finally, we conducted the performance evaluation of the proposed system by comparing the measured current and impedance with those of the references. As a result, the standard deviation of the current measurement is approximately 0.6nA and the impedance measurement error for measuring the hematocrit is approximately within 1%. The proposed system will improve the accuracy of the conventional blood-glucose meter by reducing the hematocrit interference.

• Journal of Computing Science and Engineering
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• v.1 no.2
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• pp.211-232
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• 2007

In this paper we investigate some issues and solutions related to the design of a Data Warehouse (DW), storing several aggregate measures about trajectories of moving objects. First we discuss the loading phase of our DW which has to deal with overwhelming streams of trajectory observations, possibly produced at different rates, and arriving in an unpredictable and unbounded way. Then, we focus on the measure presence, the most complex measure stored in our DW. Such a measure returns the number of distinct trajectories that lie in a spatial region during a given temporal interval. We devise a novel way to compute an approximate, but very accurate, presence aggregate function, which algebraically combines a bounded amount of measures stored in the base cells of the data cube. We conducted many experiments to show the effectiveness of our method to compute such an aggregate function. In addition, the feasibility of our innovative trajectory DW was validated with an implementation based on Oracle. We investigated the most challenging issues in realizing our trajectory DW using standard DW technologies: namely, the preprocessing and loading phase, and the aggregation functions to support OLAP operations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3121-3143
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• 2019

Segmentation plays an important role in the field of image processing and computer vision. Intuitionistic fuzzy C-means (IFCM) clustering algorithm emerged as an effective technique for image segmentation in recent years. However, standard fuzzy C-means (FCM) and IFCM algorithms are sensitive to noise and initial cluster centers, and they ignore the spatial relationship of pixels. In view of these shortcomings, an improved algorithm based on IFCM is proposed in this paper. Firstly, we propose a modified non-membership function to generate intuitionistic fuzzy set and a method of determining initial clustering centers based on grayscale features, they highlight the effect of uncertainty in intuitionistic fuzzy set and improve the robustness to noise. Secondly, an improved nonlinear kernel function is proposed to map data into kernel space to measure the distance between data and the cluster centers more accurately. Thirdly, the local spatial-gray information measure is introduced, which considers membership degree, gray features and spatial position information at the same time. Finally, we propose a new measure of intuitionistic fuzzy entropy, it takes into account fuzziness and intuition of intuitionistic fuzzy set. The experimental results show that compared with other IFCM based algorithms, the proposed algorithm has better segmentation and clustering performance.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.231-243
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• 2022

The objective of this study is to analyze the impact of conservative financial reporting on investment during uncertainty. It was assumed that during uncertainty conservative financial reporting can play an important role to improve investment decision-making. For our analysis, data sets from 2005-2020 of nonfinancial companies are used. To measure the impact of conservative financial reporting in the non-financial sector of Pakistan, Khan and Watts' (2009) model is applied. "Prospector" and "Defender" Business strategy is applied for measuring firm-level uncertainty. Investment is measured by adding the change in fixed assets (property, plant, and equipment). To check the robustness of conservative financial reporting, Givoly and Hayn's (2000) Negative Accruals measure is applied. To measure the robustness of uncertainty, environmental scanning and alertness technique is applied. According to environmental scanning and alertness technique, companies are divided into two groups named 'inert' and 'alert'. 'Inert' are those firms that are not scanning their environment, and 'alert' are those firms who continuously analyze their environment. The empirical estimations support our hypothesis. The empirical findings provide the proof that in the wake of uncertainty conservative financial reporting may facilitate to take optimal investment decisions in the developing economy of Pakistan. Our results provide critical and practical implications for investors, researchers, and standard setters.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.39-52
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• 2022

This study examines whether accounting conservatism can support real earnings management by reducing accrual earnings management techniques. The net impact of conservative reporting on earnings management is also analyzed. It is assumed that moderating the role of conservative financial reporting during uncertainty can mitigate earnings management practices. For our analysis, 5354 firm-year observations for the period 2007-2020 of nonfinancial companies listed on the Pakistan Stock Exchange are applied. To measure conservatism in the non-financial sector of Pakistan, Khan and Watts' (2009) model is used to provide evidence that conservatism is a way to restrict earnings management during uncertainty. "Prospector" and "Defender" Business strategy is applied for measuring firm-level uncertainty. To measure accrual earnings management Modified Jones (1995) model and Dechow and Dichev (2002) approach and Kasznik (1999) model are applied, and for real earnings management Roychowdhury model is applied which follows three approaches to measure real earnings management i.e. cash flow manipulation, Overproduction, and discretionary expenses. The estimations support our hypothesis by providing statistically significant proof that conservative financial reporting in a developing economy like Pakistan may be used to overcome the net impact of earnings management during uncertainty. Our results provide critical and practical implications for investors, researchers, and standard setters.

• Child Health Nursing Research
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• v.14 no.1
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• pp.53-60
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• 2008

Background: Atopic dermatitis starts as an early childhood type I hypersensitivity to environmental allergens and is often the first step in the atopic march to develop into asthma and allergic rhinitis. Despite progress that has been achieved in management, this health problem remains poorly controlled and cause great pain and suffering for many children and their parents To introduce nurses to recent progress in pathophysiology, management and preventive measure of atopic disease. Search method: Systemic search was done using the PubMed and CINAHL from 1980 to 2005. In addition, historical references were taken from standard medical textbook. Results: In total, 30 relevant publications were located including primary research and review articles that cover the pathophysiology, management, and preventive measure of atopy. The evidence emerging from literature indicate that non-medical approaches such as breastfeeding and probiotics would improve management outcomes. Conclusion: The review suggests that breastfeeding and probiotic approaches would be the most effective preventive measures for children with atopic diseases.