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Towards a respondent-preferred ki-anonymity model

Kok-Seng WONG,Myung Ho KIM

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 720-731 doi: 10.1631/FITEE.1400395

Abstract: Furthermore, we note that the level of anonymity (i.e., -anonymity) guaranteed by an agency cannot beTherefore, we introduce the notion of -anonymity, where is the level of anonymity preferred by eachAs such, our protocol ensures that respondents achieve their preferred -anonymity during data collection

Keywords: Anonymous data collection     Respondent-preferred privacy protection     k-anonymity    

Update on Mayer–Rokitansky–Küster–Hauser syndrome

Frontiers of Medicine 2022, Volume 16, Issue 6,   Pages 859-872 doi: 10.1007/s11684-022-0969-3

Abstract: This review presents an update of Mayer–Rokitansky–Küster–Hauser (MRKH) syndrome on its etiologic, clinical, diagnostic, psychological, therapeutic, and reproductive aspects. The etiology of MRKH syndrome remains unclear due to its intrinsic heterogeneity. Nongenetic and genetic causes that may interact during the embryonic development have been proposed with no definitive etiopathogenesis identified. The proportion of concomitant extragenital malformations varies in different studies, and the discrepancies may be explained by ethnic differences. In addition to physical examination and pelvic ultrasound, the performance of pelvic magnetic resonance imaging is crucial in detecting the presence of rudimentary uterine endometrium. MRKH syndrome has long-lasting psychological effects on patients, resulting in low esteem, poor coping strategies, depression, and anxiety symptoms. Providing psychological counseling and peer support to diagnosed patients is recommended. Proper and timely psychological intervention could significantly improve a patient’s outcome. Various nonsurgical and surgical methods have been suggested for treatment of MRKH syndrome. Due to the high success rate and minimal risk of complications, vaginal dilation has been proven to be the first-line therapy. Vaginoplasty is the second-line option for patients experiencing dilation failure. Uterine transplantation and gestational surrogacy are options for women with MRKH syndrome to achieve biological motherhood.

Keywords: MRKH (Mayer–Rokitansky–Küster–Hauser) syndrome     etiology     clinical characteristic     diagnosis     treatment    

A Smart Pill for Insulin?

Elizabeth K. Wilson

Engineering 2019, Volume 5, Issue 4,   Pages 603-604 doi: 10.1016/j.eng.2019.07.008

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

SAKATA,K. OKUDA,K. IKEDA

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 141-153 doi: 10.1007/s11709-014-0286-2

Abstract: This paper discusses a multiscale stochastic analysis of a laminated composite plate consisting of unidirectional fiber reinforced composite laminae. In particular, influence of a microscopic random variation of the elastic properties of component materials on mechanical properties of the laminated plate is investigated. Laminated composites are widely used in civil engineering, and therefore multiscale stochastic analysis of laminated composites should be performed for reliability evaluation of a composite civil structure. This study deals with the stochastic response of a laminated composite plate against the microscopic random variation in addition to a random variation of fiber orientation in each lamina, and stochastic properties of the mechanical responses of the laminated plate is investigated. Halpin-Tsai formula and the homogenization theory-based finite element analysis are employed for estimation of effective elastic properties of lamina, and the classical laminate theory is employed for analysis of a laminated plate. The Monte-Carlo simulation and the first-order second moment method with sensitivity analysis are employed for the stochastic analysis. From the numerical results, importance of the multiscale stochastic analysis for reliability evaluation of a laminated composite structure and applicability of the sensitivity-based approach are discussed.

Keywords: stochastic homogenization     multiscale stochastic analysis     microscopic random variation     laminated composite plate    

Shape control of multi-cellular inflatable panels

KATAYAMA, K. ISHIMURA, K. MINESUGI, DANIEL J. INMAN

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 276-282 doi: 10.1007/s11465-013-0267-5

Abstract:

Multi-cellular inflatable structures are ultra-light and robust against membrane damage such as pinholes caused by space debris. Due to their robustness, inflatable structures supported by inner gases can be applied as space structures. In the present study, shape control for a simple multi-cellular inflatable panel was achieved via a novel diaphragm mechanism. When the bending actuator in a center membrane bends, the inner pressures of sub-cells become different, and the diaphragm mechanism bends as a whole. Because a sliding component is not included, this deformable system is a reliable mechanism. In addition, the proposed mechanism has higher rigidity than that of a bending actuator used alone. In the present paper, we investigate the feasibility of a novel diaphragm mechanism and its characteristics using experimental and numerical results.

Keywords: Membrane structures     inflatable structure     shape control     smart structures     structural mechanics     space engineering    

A multi-attribute decision making approach of mix design based on experimental soil characterization

Amit K. BERA, Tanmoy MUKHOPADHYAY, Ponnada J. MOHAN, Tushar K. DEY

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3,   Pages 361-371 doi: 10.1007/s11709-017-0425-7

Abstract:

The clay mineral composition is one of the major factors that governs the physical properties of silty sand subgrade. Therefore, a thorough knowledge of mineral composition is essential to predict the optimum engineering properties of the soil, which is generally characterized by different indices like maximum dry density (MDD), California bearing ratio (CBR), unconfined compressive strength (UCS) and free swelling index (FSI). In this article, a novel multi-attribute decision making (MADM) based approach of mix design has been proposed for silty sand – artificial clay mix to improve the characteristic strength of a soil subgrade. Experimental investigation has been carried out in this study to illustrate the proposed approach of selecting appropriate proportion for the soil mix to optimize all the above mentioned engineering properties simultaneously. The results show that a mix proportion containing approximately 90% silty sand plus 10% bentonite soil is the optimal combination in context to the present study. The proposed methodology for optimal decision making to choose appropriate combination of bentonite and silty sand is general in nature and therefore, it can be extended to other problems of selecting mineral compositions.

Keywords: silty sand     bentonite soil     soil mix design     multi-attribute decision making    

Experiment study on fatigue property of concrete filled steel pipe K-joints

Zhong Xingu,Yang Sheng,Shi Weihua

Strategic Study of CAE 2011, Volume 13, Issue 9,   Pages 97-100

Abstract: the truss arch of Xiangtan 4th Bridge, we made fatigue property test on concrete filled steel pipe K-jointsdifferent specifications, and calculated the amplitude of fatigue load of concrete filled steel pipe K-jointsassess fatigue life of concrete filled steel pipe, and fatigue property of concrete filled steel pipe K-jointswas obviously better than that of steel pipe K-joints.Moreover, the S—N curve of concrete filled steel pipe K-joints proposed by this paper would be

Keywords: concrete filled steel pipe K-joints     fatigue property     S—N curve    

Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 299-310 doi: 10.1007/s11783-015-0825-7

Abstract: The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and four water qualitiesOverall, the k-NN method was verified to be useful for predicting WWTP influent characteristics.

Keywords: influent wastewater     prediction     data-driven model     k-nearest neighbor method (k-NN)    

What Will 5G Bring?

Erika K. Carlson

Engineering 2020, Volume 6, Issue 7,   Pages 725-727 doi: 10.1016/j.eng.2020.05.012

Space Tourism Moves Closer to Lift Off

Elizabeth K. Wilson

Engineering 2019, Volume 5, Issue 5,   Pages 819-821 doi: 10.1016/j.eng.2019.08.006

A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 74-79

Abstract:

K-means algorithm is one of common clustering algorithms,  but the In this paper,  a hierarchical-based initialization approach is proposed for K-Means algorithm

Keywords: hierarchical technique     initial cluster centers     weighted data     K-means clustering    

Hydrotreating of light gas oil using a NiMo catalyst supported on activated carbon produced from fluid petroleum coke

Rambabu,Sandeep Badoga,Kapil K. Soni,A.K. Dalai,J. Adjaye

Frontiers of Chemical Science and Engineering 2014, Volume 8, Issue 2,   Pages 161-170 doi: 10.1007/s11705-014-1430-1

Abstract: Nitric acid functionalized steam activated carbon (NAFSAC) was prepared from waste fluid petroleum coke (FPC) and used as a support material for the synthesis of a NiMo catalyst (2.5 wt-% Ni and 13 wt-% Mo). The catalyst was then used for the hydrotreatment of light gas oil. The support and catalysts were characterized by Brunauer-Emmett-Teller (BET) gas adsorption method, X-ray diffraction, H -temperature programmed reduction, NH -temperature programmed desorption, CO-chemisorption, mass spetrography, scanning electron microscopy (SEM), Boehm titration, and Fourier transform infrared spectroscopy (FTIR). The SEM results showed that the carbon material retained a needle like structure after functionalization with HNO . The Boehm titration, FTIR, and BET results confirmed that the HNO functionalized material had moderate acidity, surface functional groups, and mesoporosity respectively. The produced NAFSAC had an inert nature, exhibited the sink effect and few metal support interactions, and contained functional groups. All of which make it a suitable support material for the preparation of a NiMo hydrotreating catalyst. Hydrotreating activity studies of the NiMo/NAFSAC catalyst were carried out under industrial operating conditions in a laboratory trickle bed reactor using coker light gas oil as the feedstock. A parallel study was performed on the hydrotreating activity of NiMo/ -Al O as a reference catalyst. The hydrodesulfurization and hydrodenitrogenation activities of the NiMo/NAFSAC catalyst were 62% and 30%, respectively.

Keywords: activated carbon     fluid petroleum coke     NiMo catalyst     hydrotreating     light gas oil    

Artificial Intelligence Can Invent But Not Patent—For Now

Erika K. Carlson

Engineering 2020, Volume 6, Issue 11,   Pages 1212-1213 doi: 10.1016/j.eng.2020.09.003

Optimal design and development of PV-wind-battery based nano-grid system: A field-on-laboratory demonstration

TUDU, K. K. MANDAL, N. CHAKRABORTY

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 269-283 doi: 10.1007/s11708-018-0573-z

Abstract: The present paper has disseminated the design approach, project implementation, and economics of a nano-grid system. The deployment of the system is envisioned to acculturate the renewable technology into Indian society by field-on-laboratory demonstration (FOLD) and “bridge the gaps between research, development, and implementation.” The system consists of a solar photovoltaic (PV) (2.4 kWp), a wind turbine (3.2 kWp), and a battery bank (400 Ah). Initially, a prefeasibility study is conducted using the well-established HOMER (hybrid optimization model for electric renewable) software developed by the National Renewable Energy Laboratory (NREL), USA. The feasibility study indicates that the optimal capacity for the nano-grid system consists of a 2.16 kWp solar PV, a 3 kWp wind turbine, a 1.44 kW inverter, and a 24 kWh battery bank. The total net present cost (TNPC) and cost of energy (COE) of the system are US$20789.85 and US$0.673/kWh, respectively. However, the hybrid system consisting of a 2.4 kWp of solar PV, a 3.2 kWp of wind turbine, a 3 kVA of inverter, and a 400 Ah of battery bank has been installed due to unavailability of system components of desired values and to enhance the reliability of the system. The TNPC and COE of the system installed are found to be US$20073.63 and US$0.635/kWh, respectively and both costs are largely influenced by battery cost. Besides, this paper has illustrated the installation details of each component as well as of the system. Moreover, it has discussed the detailed cost breakup of the system. Furthermore, the performance of the system has been investigated and validated with the simulation results. It is observed that the power generated from the PV system is quite significant and is almost uniform over the year. Contrary to this, a trivial wind velocity prevails over the year apart from the month of April, May, and June, so does the power yield. This research demonstration provides a pathway for future planning of scaled-up hybrid energy systems or microgrid in this region of India or regions of similar topography.

Keywords: photovoltaic (PV)     wind     battery     nano-grid     hybrid optimization model for electric renewable (HOMER)     field-on-lab demonstration (FOLD)    

Wearable Sweat Sensors

Elizabeth K. Wilson

Engineering 2019, Volume 5, Issue 3,   Pages 359-360 doi: 10.1016/j.eng.2019.04.008

Title Author Date Type Operation

Towards a respondent-preferred ki-anonymity model

Kok-Seng WONG,Myung Ho KIM

Journal Article

Update on Mayer–Rokitansky–Küster–Hauser syndrome

Journal Article

A Smart Pill for Insulin?

Elizabeth K. Wilson

Journal Article

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

SAKATA,K. OKUDA,K. IKEDA

Journal Article

Shape control of multi-cellular inflatable panels

KATAYAMA, K. ISHIMURA, K. MINESUGI, DANIEL J. INMAN

Journal Article

A multi-attribute decision making approach of mix design based on experimental soil characterization

Amit K. BERA, Tanmoy MUKHOPADHYAY, Ponnada J. MOHAN, Tushar K. DEY

Journal Article

Experiment study on fatigue property of concrete filled steel pipe K-joints

Zhong Xingu,Yang Sheng,Shi Weihua

Journal Article

Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Journal Article

What Will 5G Bring?

Erika K. Carlson

Journal Article

Space Tourism Moves Closer to Lift Off

Elizabeth K. Wilson

Journal Article

A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Journal Article

Hydrotreating of light gas oil using a NiMo catalyst supported on activated carbon produced from fluid petroleum coke

Rambabu,Sandeep Badoga,Kapil K. Soni,A.K. Dalai,J. Adjaye

Journal Article

Artificial Intelligence Can Invent But Not Patent—For Now

Erika K. Carlson

Journal Article

Optimal design and development of PV-wind-battery based nano-grid system: A field-on-laboratory demonstration

TUDU, K. K. MANDAL, N. CHAKRABORTY

Journal Article

Wearable Sweat Sensors

Elizabeth K. Wilson

Journal Article