A Study on the Relationship of Architectural Atmosphere and “The Body of Architecture” - Focused on Eight Case Studies -

Mandic, Jelena,백진 한국문화공간건축학회 2020 한국문화공간건축학회논문집 Vol.- No.72

The purpose of this study is to investigate the relationship between the interior atmosphere within a building and the spatial composition as well as formal aspects of the building. Form and composition constitute what Peter Zumthor refers to as “The Body of Architecture” –considered one of the main aspects that influences the interior atmosphere as it delimits the space.** Peter Zumthor, Atmospheres: Architectural Environments - Surrounding Objects, Basel, Birkhäuser, 2006, p. 21 On the basis of modernist space often being criticized as a generator of homogeneous spatial effects due to the orthogonal geometry and open plans, as well as later attempts to overcome this by introducing complex and curved forms (that create variations in the interior by differentiating the building’s envelope), this study attempts to determine whether these types of formal interventions contribute to diversity in the interior space. Thus, it employs the concept of the architectural atmosphere as a denotation of spatial quality to investigate whether and how formal along with compositional aspects of a building contribute to the variability and change of spatial character. Accordingly, the case studies included in this research are selected as seminal architectural projects representative of these architectural “styles,” where we examine both formal and compositional aspects. The analysis has been conducted in three steps. Firstly, the criteria for the analysis have been derived based on theoretical backgrounds. Secondly, each of the case studies has been analyzed through these criteria to determine ambient zones within a building and their possible overlaps. Finally, these are questioned with respect to the formal and compositional aspects of each of the case studies, results are compared, and the conclusions are drawn. The results have shown that form and geometry do make a difference in the quality of space, but that variations in the spatial quality primarily depend upon compositional aspects, i.e. the spatial relationship and connections of spaces. Thus, compositional aspects of a building have a primary role in defining and connecting (or separating) the ambient zones, and thus the variable and changeable space.

Effects of process and design parameters on heat management in fixed bed Fischer-Tropsch synthesis reactor

Branislav Todic,Milos Mandic,Nikola Nikacevic,Dragomir B. Bukur 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.4

A two-dimensional pseudo-homogeneous model of wall-cooled fixed bed Fischer-Tropsch synthesis (FTS) reactor with Co/Re/-Al2O3 catalyst was developed to study the effect of process and design parameters on heat generation and removal characteristics. The influence of liquid-phase formation on heat transport was accounted for by using two-phase correlations. The effect of intraparticle diffusion on heat generation was considered. Detailed numerical simulations were performed to analyze the effect of process and design parameters on the reactor performance in terms of heat management. Results show that thermal behavior of FTS fixed bed reactors is very sensitive and any large disturbances can lead to temperature runaway. Large tube diameters are shown to be particularly unfavorable, with dt>5 cm resulting in axial and radial gradients greater than 20 K and 13 K, respectively. The importance of detailed reactor modeling when designing and optimizing FTS fixed bed reactors is highlighted.

Medication Utilization to Antidepressants among Dual Eligibles Before and After Patrt D

Jee Ae Kim,Pinar Karac Mandic,Lynn Blewett 한국보건행정학회 2013 한국보건행정학회 학술대회 논문집 Vol.2013 No.2

Efficient Workpiece Clamping by Indenting Cone-shaped Elements

Branko Tadic,Djordje Vukelic,Branislav Jeremic,Petar Todorovic,Uros Proso,Vesna Mandic,Igor Budak 한국정밀공학회 2012 International Journal of Precision Engineering and Vol. No.

Machining fixtures which utilize screw-or strap clamps are widely used in manufacturing. Typical for them is that the cutting forces are balanced by the friction forces which act on the contact surfaces (interfaces) between clamping elements (screw- or strap clamps) and workpiece. This paper analyses load capacity and compliance of these interfaces. In order to increase their load capacity and reduce compliance, a method is proposed which is based on indenting sharp cone-shaped clamping elements into workpiece material using appropriate surfaces which are not machined, and are not expected to satisfy any particular aesthetic demands (most often castings and forgings). The results of numerical simulations and experimental investigation reveal substantial advantages of the proposed clamping method, offering possibility for industrial application and further investigation.

A physiology based model of heart rate variability

Wilhelm von Rosenberg,Marc-Oscar Hoting,Danilo P. Mandic 대한의용생체공학회 2019 Biomedical Engineering Letters (BMEL) Vol.9 No.4

Heart rate variability (HRV) is governed by the autonomic nervous system (ANS) and is routinely used to estimate thestate of body and mind. At the same time, recorded HRV features can vary substantially between people. A model for HRVthat (1) correctly simulates observed HRV, (2) reliably functions for multiple scenarios, and (3) can be personalised usinga manageable set of parameters, would be a signifi cant step forward toward understanding individual responses to externalinfl uences, such as physical and physiological stress. Current HRV models attempt to reproduce HRV characteristics bymimicking the statistical properties of measured HRV signals. The model presented here for the simulation of HRV followsa radically diff erent approach, as it is based on an approximation of the physiology behind the triggering of a heart beat andthe biophysics mechanisms of how the triggering process—and thereby the HRV—is governed by the ANS. The model takesinto account the metabolisation rates of neurotransmitters and the change in membrane potential depending on transmitterand ion concentrations. It produces an HRV time series that not only exhibits the features observed in real data, but alsoexplains a reduction of low frequency band-power for physically or psychologically high intensity scenarios. Furthermore,the proposed model enables the personalisation of input parameters to the physiology of diff erent people, a unique featurenot present in existing methods. All these aspects are crucial for the understanding and application of future wearable health.

Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns

Kim, Youngjoo,Ryu, Jiwoo,Kim, Ko Keun,Took, Clive C.,Mandic, Danilo P.,Park, Cheolsoo Hindawi Publishing Corporation 2016 Computational intelligence and neuroscience Vol.2016 No.-

<P>Recent studies have demonstrated the disassociation between the mu and beta rhythms of electroencephalogram (EEG) during motor imagery tasks. The proposed algorithm in this paper uses a fully data-driven multivariate empirical mode decomposition (MEMD) in order to obtain the mu and beta rhythms from the nonlinear EEG signals. Then, the strong uncorrelating transform complex common spatial patterns (SUTCCSP) algorithm is applied to the rhythms so that the complex data, constructed with the mu and beta rhythms, becomes uncorrelated and its pseudocovariance provides supplementary power difference information between the two rhythms. The extracted features using SUTCCSP that maximize the interclass variances are classified using various classification algorithms for the separation of the left- and right-hand motor imagery EEG acquired from the Physionet database. This paper shows that the supplementary information of the power difference between mu and beta rhythms obtained using SUTCCSP provides an important feature for the classification of the left- and right-hand motor imagery tasks. In addition, MEMD is proved to be a preferred preprocessing method for the nonlinear and nonstationary EEG signals compared to the conventional IIR filtering. Finally, the random forest classifier yielded a high performance for the classification of the motor imagery tasks.</P>

Clinical and Genetic Features of Huntington’s Disease Patients From Republic of Serbia: A Single-Center Experience

Nikola Kresojević,Ivana Perović,Iva Stankovic,Aleksandra Tomic,Milica Jecmenica Lukic,Vladana Markovic,Tanja Stojkovic,Gorana Mandic,Milena Jankovic,Ana Marjanovic,Marija Brankovic,Ivana Novakovic,Igo 대한파킨슨병및이상운동질환학회 2023 Journal Of Movement Disorders Vol.16 No.3

Huntington’s disease (HD) is an autosomal dominant neurodegenerative disease caused by an expansion of CAG trinucleotide repeats in the HTT gene, which encodes the huntingtin protein