• 제목/요약/키워드: Influence Range

검색결과 2,720건 처리시간 0.031초

살충제 성분이 함유된 농약제품의 에어로졸 분사에 따른 금속 및 식물의 부식 영향에 관한 연구 (A Study on the Influence of Corrosion of Metals and Plants through Aerosol Type Spraying of Agricultural Pesticide Products Containing Insecticide Ingredients)

  • 김정훈
    • 한국안전학회지
    • /
    • 제33권6호
    • /
    • pp.8-14
    • /
    • 2018
  • Recently, serious problems occurred such as insecticide eggs, sanitary pads with carcinogens, radon(Rn) emitting beds in domestic. It had not been establishing the inspection system to evaluate safety and human harmfulness before occurring real accidents. This research was conducted to test preliminary experimental inspection for consideration of safety insensibility. The influence of corrosion of metals and plants was studied through aerosol type spraying of agricultural pesticide products coming into the market. These products contain primary three insecticide ingredients(Flufenoxuron, Etoxazole, Fipronil) in recent accidents. Visual examination, SEM-EDS and optical microscope were used for the analysis for corrosion effect. Results show that a lot of ingredients contain in the crop protection products, and various type of corrosion exist in the surface of metals and plants. Therefore, it is necessary to provide health warning and accurate range of use for crop protection products containing insecticide ingredients.

Restoration of Ghost Imaging in Atmospheric Turbulence Based on Deep Learning

  • Chenzhe Jiang;Banglian Xu;Leihong Zhang;Dawei Zhang
    • Current Optics and Photonics
    • /
    • 제7권6호
    • /
    • pp.655-664
    • /
    • 2023
  • Ghost imaging (GI) technology is developing rapidly, but there are inevitably some limitations such as the influence of atmospheric turbulence. In this paper, we study a ghost imaging system in atmospheric turbulence and use a gamma-gamma (GG) model to simulate the medium to strong range of turbulence distribution. With a compressed sensing (CS) algorithm and generative adversarial network (GAN), the image can be restored well. We analyze the performance of correlation imaging, the influence of atmospheric turbulence and the restoration algorithm's effects. The restored image's peak signal-to-noise ratio (PSNR) and structural similarity index map (SSIM) increased to 21.9 dB and 0.67 dB, respectively. This proves that deep learning (DL) methods can restore a distorted image well, and it has specific significance for computational imaging in noisy and fuzzy environments.

다구찌 방법에 의한 유리-실리콘 양극접합 계면의 파괴인성치 측정 및 양극접합공정 조건에 따른 접합강도 분석 (Measurement of Glass-Silicon Interfacial fracture Toughness and Experimental Evaluation of Anodic Bonding Process based on the Taguchi Method)

  • 강태구;조영호
    • 대한기계학회논문집A
    • /
    • 제26권6호
    • /
    • pp.1187-1193
    • /
    • 2002
  • Anodic bonding process has been quantitatively evaluated based on the Taguchi analysis of the interfacial fracture toughness, measured at the interface of anodically bonded silicon-glass bimorphs. A new test specimen with a pre-inserted blade has been devised for interfacial fracture toughness measurement. A set of 81 different anodic bonding conditions has been generated based on the three different conditions for four different process parameters of bonding load, bonding temperature, anodic voltage and voltage supply time. Taguchi method has been used to reduce the number of experiments required for the bonding strength evaluation, thus obtaining nine independent cases out of the 81 possible combinations. The interfacial fracture toughness has been measured for the nine cases in the range of 0.03∼6.12 J/㎡. Among the four process parameters, the bonding temperature causes the most dominant influence to the bonding strength with the influence factor of 67.7%. The influence factors of other process parameters, such as anodic voltage and voltage supply time, bonding load, are evaluated as 18%, 12% and 2.3%, respectively. The maximum bonding strength of 7.23 J/㎡ has been achieved at the bonding temperature of 460$\^{C}$ with the bonding load of 45gf/㎠, the applied voltage of 600v and the voltage supply time of 25minites.

동다짐 공법의 유효다짐깊이 결정에 영향을 주는 인자 분석 (Analysis of Influence Parameters to Evaluate the Effective Depth of Improvement of Dynamic Compaction Method)

  • 김홍택;이혁진;박인준
    • 한국지반공학회:학술대회논문집
    • /
    • 한국지반공학회 2004년도 춘계학술발표회
    • /
    • pp.659-666
    • /
    • 2004
  • Dynamic compaction has evolved as an acceptable method of site improvement by treating poor soils in situ. The method is often an economical alternative for utilizing shallow foundations and preparing subgrades for construction when compared with conventional solutions. In general, the installation purpose of dynamic compaction are to increase bearing capacity and decrease differential settlement within a specified depth of improvement. This method involves the s systematically dropping large weights onto the ground surface to compact the underlying ground. The weights used on dynamic compaction projects have been typically constructed of steel plates, sand or concrete filled steel shells, and reinforced concrete. Typically, weights range from 5-20 ton and base configurations are, circular or octagonal. In this study, the effective depth of improvement is evaluated based on the numerical analysis code, the dynamic analysis of FLAC-3D program, in order to analyze the influence parameters ; ground conditions, maximum applied load and the area of compaction plate.

  • PDF

여성의 의복구매동기와 구매 후 불만족에 관한 연구 (Clothing Purchase Motives and Post-Purchase Dissatisfaction of Women)

  • 엄경은
    • 대한가정학회지
    • /
    • 제33권4호
    • /
    • pp.315-327
    • /
    • 1995
  • The objective of this study were to classify the contents of clothing purchase motives and to examine the differences in post-purchase dissatisfaction and satisfaction of clothing according to the clothing purchase motives. Questionnaire was comprised of 36 Likert type items of clothing purchase motive measure, 15 items of post-purchase clothing dissatisfaction measure, and 1 item of satisfaction measures. Samples were 492 women in Incheon, Korean ; 279 were college students and 213 were housewives. The data were analyzed using factor analysis, cluster analysis, one-way ANOVA, Duncan's multiple range test, and χ2-test. The results of the study were the followings : 1. Subjects perceived 'becomingness' to be the most important motive, 'attractiveness of color' the second important, and 'salesperson's recommendation' the least. 2. 6 factors of clothing purchase motives were derived by factor analysis : F.1 'clothing utility and deficiency' ; F.2 'clothing quality' ; F.3 'financial frugality'. 3. Subjects were classified into the three motive groups by cluster analysis of the 6 factors : G.1 'the clothing appearance and others' influence' ; G.2 'the clothing quality and deficiency' ; G.3 'the motiveless'. 4. More college women were distributed in clothing appearance and others' influence group than housewives, while more housewives were distributed in clothing quality and deficiency group. 5. The clothing appearance and others' influence group expressed the highest post-purchase dissatisfaction and the lowest post-purchase satisfaction. The clothing quality and deficiency group expressed the highest post-purchase satisfaction, and the motiveless group expressed the lowest post-purchase dissatisfaction.

  • PDF

유연도 영향계수법을 이용한 접촉 결합부의 모델링 (Finite Element Modeling of Contact Joints by Flexibility Influence Coefficient)

  • 오제택;조성욱;이규봉
    • 한국정밀공학회:학술대회논문집
    • /
    • 한국정밀공학회 2003년도 춘계학술대회 논문집
    • /
    • pp.814-819
    • /
    • 2003
  • Machine tool design concepts have evolved towards high efficiency, accurate precision. high structural integrity, and multi-functional systems. Like many other structures, machine tools are also composed of many parts. When these parts are assembled, many kinds of joints are used. In the finite element analysis of these assembled structures, most joints are commonly considered as rigid joints. But, to get the more accurate solution, we need to model these joints in a appropriate manner. In this study, rational dynamic modeling and analysis method for complex structures are studied with special attention to slide way joints. For modeling of slide way joints, a general modeling technique is used by influence coefficients method which is applied to the conversion of detailed finite element model to the equivalent reduced joint model. The theoretical part of this method is illustrated and the method is applied to the structure with slide way joint. In this method. the non-linearity of the contact surfaces is considered within a proper range and the boundary effect of the joint model can be eliminated. The proposed method was applied to finite element modal analysis of a clamp jointed cantilever beam and slide way joints of the vertical type lathe. The method can also be used to other kinds of joint modeling. The results of these analysis were compared with those of Yoshimura models and rigid joint models. which demonstrated the practical applicability of the proposed method.

  • PDF

노인요양원 치매노인의 성별에 따른 낙상경험 요인 비교 (Comparison of risk factors for and experiences with falls according to sex among older adults with dementia in long-term care)

  • 정은숙
    • 가정간호학회지
    • /
    • 제24권1호
    • /
    • pp.34-43
    • /
    • 2017
  • Purpose: The purpose of this study was to provide basic data to develop a Fall Prevention Education Program by comparing and analyzing fall experiences and the factors that influence elderly people with dementia suffering falls. Methods: The participants were 302 patients with dementia aged 60 years or older with nursing records of hospitalization in three nursing homes located in a metropolitan area. The SPSS/Win 21.0 package was used to analyze the collected data. A logistic regression analysis was performed to identify the influence factors related to fall experiences. Results: For men, fall experiences were more frequent given the following factors: overweight; high fall risk tendency; aged 90 and above; married; dementia duration period of 5 to 9 years; and taking medication for dementia. For women, the factors included age range of 80 to 89; overweight; obese; both low and high fall risk tendency; separation by death; and having spent less than 1 year in nursing homes. Conclusion: We anticipate positive results in fall prevention education programs for the elderly with dementia if the results of this study are used as basic data, and interventions are customized to consider the sex and the relevant influence factors as to fall experiences.

주부의 가정관리능력과 가정생활만족도와의 관계 (A Study on the Relation Between Home Management Ability and Family Life Satisfaction of Home Makers)

  • 김경숙
    • 대한가정학회지
    • /
    • 제31권3호
    • /
    • pp.29-46
    • /
    • 1993
  • The purpose of this study were to investigate the relation between home management ability and family life satisfaction of home makers, and to find out variables which influence them. The data were collected though the questionnaire whose respondent were 408 home makers in Kwang Ju and Kang Reung. The data were analyzed by various statistical method such as Cronbach's coefficient, factor analysis, frequency, percentage, mean, F-test, t-test, Duncan's multiple range test, regression analysis and path analysis. The results were as follow. 1. Home management ability score showed 68.5. Influential variables on home management ability were the level of education (husband and wife), occupation of husband and income as sociodemographic variables, and degree of resourcefulness recognition and of communication as psychological variables. 2. Family life satisfaction score showed 74.6. Influential variables on home management ability were the level of education (husband), occupation of husband and income as sociodemographic variables, and degree of resourcefulness recognition, of communication and of stress recognition as psychological variables. 3. The degree of communication was the highest influential variable to have influence on family life satisfaction. And the degree of resourcefulness recognition, of stress recognition, occupation of husband and wife, level of education(husband), number of children were variables to have directly and/or indirectly influence on family life satisfaction.

  • PDF

A new hybrid vibration control methodology using a combination of magnetostrictive and hard damping alloys

  • Buravalla, Vidyashankar R.;Bhattacharya, Bishakh
    • Smart Structures and Systems
    • /
    • 제3권4호
    • /
    • pp.405-422
    • /
    • 2007
  • A new hybrid damping technique for vibration reduction in flexible structures, wherein a combination of layers of hard passive damping alloys and active (smart) magnetostrictive material is used to reduce vibrations, is proposed. While most conventional vibration control treatments are based exclusively on either passive or active based systems, this technique aims to combine the advantages of these systems and simultaneously, to overcome the inherent disadvantages in the individual systems. Two types of combined damping systems are idealized and studied here, viz., the Noninteractive system and the Interactive system. Frequency domain studies are carried out to investigate their performance. Finite element simulations using previously developed smart beam elements are carried out on typical metallic and laminated composite cantilever beams treated with hybrid damping. The influence of various parameters like excitation levels, frequency (mode) and control gain on the damping performance is investigated. It is shown that the proposed system could be used effectively to dampen the structural vibration over a wide frequency range. The interaction between the active and passive damping layers is brought out by a comparative study of the combined systems. Illustrative comparisons with 'only passive' and 'only active' damping schemes are also made. The influence and the mode dependence of control gain in a hybrid system is clearly illustrated. This study also demonstrates the significance and the exploitation of strain dependency of passive damping on the overall damping of the hybrid system. Further, the influence of the depthwise location of damping layers in laminated structures is also investigated.

How Do Advisors Influence Mergers and Acquisitions?: An Analysis of Acquisitions in Japan

  • KOO, Ja Seung
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제7권7호
    • /
    • pp.123-129
    • /
    • 2020
  • The objective of this study is to examine the differentiated influence of sell-side advisors and buy-side advisors on mergers and acquisitions (M&A). Unlike prior studies on M&A advisors, the study addresses different roles of target and acquirer advisors, and explores their influences on the cumulative abnormal returns (CAR) and acquisition premiums with an empirical analysis of longitudinal data of M&As conducted by Japanese listed firms except financial companies from 1995 to 2012. M&A data were obtained from the Securities Data Corporation's (SDC) database, and the individual firm data were collected from the Nikkei Economic Electronic Databank System (NEEDS), which provides a wide range of corporate information including financial status, operational performance, and strategy. Using a sample of 452 cases for the CAR and 498 cases for the analysis of acquisition premiums, the empirical results support the hypotheses of the target advisor's positive association with CAR and acquirer advisor's positive association with acquisition premiums. The findings of this study indicate the target advisor's positive contribution to the success of acquisition process and performance, and acquirer advisor's negative influence on the deal progress. The study provides theoretical implications on M&A research and practical insights into the investment banking industry.