bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis Methodology of Inelastic Constitutive Parameter Using State Space Method and Neural Network
Authors: Lee JoonSeong , . . 
Published: April 2019

Background/Objectives: In this paper, we present a method for describing a set of variables of an inelastic constitutive equation based on state space method (SSM) and neural network (NN). The advantage of this method is that it can identify the appropriate parameters.Methods/Statistical analysis: Two NNs based on SSM are proposed. One outputs the ratio of inelastic strain for the internal parameters of the material, and the other is the following state of the inelastic strain ratio and material internal variable. Both NNs were trained and successfully collected using input and output data generated by Chaboche 's model.Findings: As a result, previous NNs have demonstrated their validity as a powerful material model. However, the training data for the proposed NN can’t be easily obtained from actual experimental data. Previous neural networks can reproduce the original stress-strain curves. The NNs also produced untrained curves to demonstrate interpolation capabilities. It was also found that the NNs can be estimated to be close to training data. The author defines the implicit constitutive model and proposes the implicit viscous constitutive model using NNs. In modeling, inelastic behavior is generalized in state space representation, and the state space form is constructed by NNs using an input-output data sets. The proposed model was first created from the pseudo-experimental data generated by one of the commonly used configuration models and has been found to be a good replacement for the model. The actual experimental data was then tested, and the proposed model showed the accuracy of its superiority over all existing specified models because the amount of model errors was negligible.Improvements/Applications: The comparison between the NN constitutive laws with the Chaboche’s model indicates that the NN constitutive law generated curves with less model errors than the experimental data, thereby indicating the superiority of the neural constitutive law to explicit constitutive laws as a material model.
Iaas: Qos based Automated User Requirement Identification for Optimal Resource Allocation in Multi Cloud
Authors: S.Guruprakash K , Fiaz.A.S Syed , Sankar S 
Published: April 2019

Resource allocation and optimization is one of the important characteristics in cloud computing environment. An vital goal of any cloud service provider is to allocate cost effective and optimized resource packages to the consumers that meet the QOS (Quality of Service) requirements.Â Though the various set of cloud resources are available, selecting an appropriate resource to the consumers based on their requirements is a tedious task for any providers. Many researchers have already discussed different algorithms for finding the optimal resources to the consumers. However there is a challenge in selecting exact resources that meet QoS Parameters such as performance, availability, reliability and so on. This paper proposes an effective method for optimal resource allocation in multi cloud environment.Â This approach takes an input, set of QOS parameter value for each user and select the suitable package that matches the QOS value. This paper provides an effective resource allocation solution to IaaS (Infrastructure as a Service) provider based on consumers usage patterns.
Implementation of Unconstrained Chair-Type Smart Health Management Monitoring System
Authors: Yun Seo Ji , Hong Noh Yun , Un Jeong Do 
Published: April 2019

Modern people spend many hours of daily life, such as study and work, to the sitting position with chairs and sofas. If you sit for a long time with a wrong posture, musculoskeletal system disorder can occur and distraction due to low concentrations. In this research, we implemented the chair-type smart health management monitoring system which provides the user with the traditional functions of the chair more effectively and also enables various health management functions. For this reason Three load cells (SB S - beam load cell, 100 kgf) were arranged in an equilateral triangle shape between the top plate and the lower plate of the chair to construct a control section. In addition, we designed a measuring section composed of a filter and an amplifier so that we can simultaneously measure weight signal and BCG. We implemented an information-based posture discrimination algorithm of weight information and a distraction estimation method and implemented a PC and Android-based smartphone monitoring system. We conducted two experiments to evaluate the performance of the implemented system. First of all, in order to evaluate the performance of the posture discrimination algorithm, nine postures were obtained for 10 test subjects in an arbitrary order. As a result of comparing arbitrary posture and posture discrimination results, it showed discrimination performance of 97.9%. Finally, experiment was conducted to confirm the usefulness of the discrimination of distraction in daily life. The experimenter checked the change of the indicator according to the posture change during audiovisual data appreciation. Distraction continued changing posture as a result of confirming the image of the section where the numerical value is high, and confirmed that it is not concentrating on the image. The implement system can help not only health care function in daily life, but also to induce proper posture and improve sitting habit. In future studies, we intend to conduct a research to objectively demonstrate the usefulness of the Distraction estimated index.
An Improved and Adaptive Attribute Selection Technique to Optimize Dengue Fever Prediction
Authors: Mishra Sushruta , Kumar Tripathy Hrudaya , Ranjan Panda Amiya 
Published: April 2019

Clinical information mining is rapidly gaining popularity. Restorative information are high dimensional in nature which contains unessential elements that diminish prediction capability. Hence Attribute Optimization is required to retain only the essential features while eradicating irrelevant features. Dengue is one of the major worldwide medical related disease. It has affected millions of people throughout world while a majority of them being women. With constant upgradation of information technology and its application in healthcare domain, several cases relating to diabetes along with its symptoms are properly documented. Our study is centered on developing and implementing a new Adaptive and Dynamic Attribute Optimization algorithm to determine whether patients suffer from Dengue. Our algorithm is evaluated against some vital performance metrics and compared with other sub-modules of the proposed algorithm and traditional Genetic Algorithm. The results indicate our algorithm is more efficient and accurate in determining presence of Dengue disease. This may assist the medical experts in effective diagnosis of patients suffering from Dengue.Â Â
PAPR Analysis of Fifth Generation Multiple Access Waveforms for Advanced Wireless Communication
Authors: Mahender Kommabatla , Anil Kumar Tipparti , S Ramesh K 
Published: April 2019

This paper describes the aspects of multiple access for emerging (5G) Wireless Communication Systems. Orthogonal Frequency Division Multiplexing (OFDM) is best suited for fourth generation (4G) but it suffers from the problem of high Peak to Average Power Ratio (PAPR) & Side band leakage. Single carrier frequency division multiple access (SC-FDMA) has worked like an alternative to OFDMA only in the uplink process and PAPR was reduced. OFDM based 4G network is not capable of supporting diverse applications and these applications can be implemented by 5G.Â High traffic requirements of 5G can be evaluated by using multiple access schemes, namely filter-bank multi-carrier (FBMC), universal-filtered multi-carrier (UFMC), generalized frequency-division multiplexing (GFDM). Comparison of PAPR reduction is done based on Complementary Cumulative Distribution Function (CCDF), for various multiple access 5G waveforms.Â Â
Interpolation Techniques in Image Resampling
Authors: S Malini Manjunatha. , Patil M 
Published: April 2019

The procedure of converting a sampled image from any coordinate structure to other structure is called Image Resampling. When forgeries are introduced in digital images, generally the operations like rotation, resizing, skewing etc., are included to make it relational with respect to adjacent original area.Â So there is a recognizable loss in the quality of the image and it will become an important signature of manipulated images. Hence resampling is the default interpretation present in most of the tamped image. Resampling detection is an attractive standard tool in digital image forensics. Generally resampling objects are not visible to human eye in an altered images but periodic relationships get familiarized in image pixels. Because of it the changes is going to happen in certain characteristics of the image and it is going leaving behind periodical artifacts which are used as fingerprints for the forensics. These periodic interpolation objects present in the intensities of pixelsÂ or other format of data illustration such as DFT, wavelet are the structures which detectors look for in order to decide whether an image, or a part of an image, has endured a geometrical transformation. This serves as an evidence of manipulation or tampering. This paper gives comparative study of different resampling techniques like Cubic Splines, Nearest Neighbor, Cubic convolution and Linear Interpolation, which can be used as detectors for an altered image containing resample portionsÂ
Functional Adaptability Essence of Hindu Rituals and Architectural Elements of Traditional Domestic Buildings in Kerala: Excerpt from the Vedas
Authors: Choyimanikandiyil Kala , . . 
Published: April 2019

The four knowledge texts of Hindu religion known as Vedas mainly include praises to God, daily rituals and other aspects such as Medicine, Architecture, food habits, personal duties etc.Â The paper enumerates the various codified principles of food intake during various seasons and daily rituals adopted by a Hindu in ancient Kerala.Â The author tries to find the importance of thermal balance of the human body that has been maintained through these codified living habits of a Hindu in Kerala which are based on the Vedas.Â The paper also inevitably looks into the thermal properties of building and architectural elements described in the Vastusastra which are practised in the traditional Hindu domestic buildings in Kerala state in South India.Â The paper concludes by stating that the food habits, rituals and building construction methods practised according to Hindu customs of Kerala closely link to the original Vedic texts.Â Most importantly these sustainable practices were found to suit the adaptability of humans with the climate pattern of coastal Kerala towards attaining thermal comfort.Â Â
Development of an Asset Management System Integrated with GIS and K-Means Algorithm for Large Industrial Area
Authors: Athoillah Ibid , Pratiwi Firda 
Published: April 2019

The large industrial area has more than a thousand assets that make asset management activities to become more challenging. However, the current asset management in several industrial companies still records the asset information in paper-based documents. Therefore, the technical problems found in current practices in the field are the difficulties in determining the actual position of assets and which group of asset belongs accurately. To overcome those problems and to improve the asset management activities, an asset management system using GIS (Geographic Information System) and K-Means Algorithm is proposed. GIS to visualize the asset coordinate and condition on a geographical map, manage and store the assets detail information and K-Means Clustering Algorithm to cluster the assets based on their coordinate and simplifies the scattered asset. The system is developed using the Waterfall model. The system is native applications built using electron framework and can be accessed within industrial area network only, to keep the user convenience and security of asset data. The Leaflet used as interactive map software frameworks to visualize the industrial map, manage the geospatial data and mapped the industrial asset, including machinery, equipment, land, and building. For the initial operation, the system contains more than 700 assets data with 6 categories and 4 clusters. This system improves the assets accuracy, reduces the time of asset management practices, and the asset clusters can be used as decision support for industrial asset management activities.
Granger Causality Analysis on PLUS Highway Traffic Network
Authors: Asrah Norhaidah Mohd , Djauhari Maman Abdurachman , Khamis Azme , Salleh Rohayu Mohd , Avtar Sya Sya Syahira Muhammad Fitri Avtar 
Published: April 2019

PLUS Malaysia Berhad (PMB) is the largest toll expressway operator in Malaysia and South East Asia. Based on this reputation, PLUS handled thousands of vehicles every day. It covers the in-coming and out-coming traffic burdens from the northern areas to the southern areas. In order to manage these traffic burdens, toll plazas are located along this highway. Previous studies revealed that some of these toll plazas are important in managing the traffic burdens. This study analyze the importance of Skudai (SKD) toll plaza in Johor from 2009 until 2013. The causal relationship between SKD toll plaza with other toll plazas in Johor is studied to determine if there is any potential correlation or relationship of SKD with other toll plazas by using the Granger causality analysis. The findings show that there is a bidirectional Granger causality between SKD and Tangkak (TGK) as well as Machap (MAC) toll plazas. Meanwhile, there is only a unidirectional Granger causality between SKD and Yong Peng Utara (YPU) and Yong Peng Selatan (YPS) toll plazas. These results benefit the PLUS highway management to identify which potential toll plazas that can increase the traffic burden out from SKD toll plaza.
Modelling House Price Using Ridge Regression and Lasso Regression
Authors: Xin Seng Jia , Khalid Kamil 
Published: April 2019

House price prediction is important for the government, finance company, real estate sector and also the house owner. The data of the house price at Ames, Iowa in United State which from the year 2006 to 2010 is used for multivariate analysis. However, multicollinearity is commonly occurred in the multivariate analysis and gives a serious effect to the model. Therefore, in this study investigates the performance of the Ridge regression model and Lasso regression model as both regressions can deal with multicollinearity. Ridge regression model and Lasso regression model are constructed and compared. The root mean square error (RMSE) and adjusted R-squared are used to evaluate the performance of the models. This comparative study found that the Lasso regression model is performing better compared to the Ridge regression model. Based on this analysis, the selected variables includes the aspect of house size, age of house, condition of house and also the location of the house.
Understanding the Meaning of Triangular Shape in Mosque Architecture in Indonesia
Authors: Jamaludin J. , Salura Purnama 
Published: April 2019

This paper discuss the formal and symbolical meaning of triangular shape of contemporary mosque architecture in Indonesia, with case study the mosques designed by Ridwan Kamil in Jakarta and in rest area Km 88 toll road between Jakarta and Bandung. There was a question in the public whether the triangular shape was adequate to be used as a mosque building. This paper propose answers with the analitical descriptive to understand the symbolical meaning of triangle shape used Sundanese community culture, one of Indonesian ethnics as representation. The paper used comparation and interpretation method to reveals the meaning of triangle shape in local culture and to find the connection to triangle shape in contemporary mosques architecture. The vernacular mosques in Indonesia known with their pyramid shape stacked roof with pointed roof in the peak. The pointed roof derived from the mountain that believed as the sacred place and used as symbol in the form of stacked roof of mosque. The finding of this paper is that triangular form can be accepted as mosque architectural form for the symbolical meaning derived from Sundanese culture. In the two mosques, this triangle shape enlarged and become praying room and as bridge to the God realm. The shape then achieved two purpose, as symbol of holy place and also fullfiled the function of praying room.
Free subgroups in k(x
1,...
,x

n
)(X;σ) and k(x,y)(k;σ)
Authors: Gonçalves Jairo Z. 
Published: April 2019

Abstract
Let k be a field, let

𝔄
1

{\mathfrak{A}_{1}}

be the k-algebra

k
⁢

[

x
1

±
1

,
…
,

x
s

±
1

]

{k[x_{1}^{\pm 1},\dots,x_{s}^{\pm 1}]}

of Laurent polynomials in

x
1

,
…
,

x
s

{x_{1},\dots,x_{s}}

, and let

𝔄
2

{\mathfrak{A}_{2}}

be the k-algebra

k
⁢

[
x
,
y
]

{k[x,y]}

of polynomials in the commutative indeterminates x and y. Let

σ
1

{\sigma_{1}}

be the monomial k-automorphism of

𝔄
1

{\mathfrak{A}_{1}}

given by

A
=

(

a

i
,
j

)

∈

G
⁢

L
s

⁢

(
ℤ
)

{A=(a_{i,j})\in GL_{s}(\mathbb{Z})}

and

σ
1

⁢

(

x
i

)

=

∏

j
=
1

s

x
j

a

i
,
j

{\sigma_{1}(x_{i})=\prod_{j=1}^{s}x_{j}^{a_{i,j}}}

,

1
≤
i
≤
s

{1\leq i\leq s}

, and let

σ
2

∈

Aut
k

⁢

(

k
⁢

[
x
,
y
]

)

{\sigma_{2}\in{\mathrm{Aut}}_{k}(k[x,y])}

. Let

D
i

{D_{i}}

,

1
≤
i
≤
2

{1\leq i\leq 2}

, be the ring of fractions of the skew polynomial ring

𝔄
i

⁢

[
X
;

σ
i

]

{\mathfrak{A}_{i}[X;\sigma_{i}]}

, and let

D
i
∙

{D_{i}^{\bullet}}

be its multiplicative group. Under a mild restriction for

D
1

{D_{1}}

, and in general for

D
2

{D_{2}}

, we show that

D
i
∙

{D_{i}^{\bullet}}

,

1
≤
i
≤
2

{1\leq i\leq 2}

, contains a free subgroup. If

i
=
1

{i=1}

and

s
=
2

{s=2}

, we show that a noncentral normal subgroup N of

D
1
∙

{D_{1}^{\bullet}}

contains a free subgroup.
On relations between weak and strong type inequalities for modified maximal operators on non-doubling metric measure spaces
Authors: Kosz Dariusz 
Published: April 2019

Abstract
In this article, we investigate a special class of non-doubling metric measure spaces in order to describe the possible configurations of

P

k
,
s

c

{P_{k,{\mathrm{s}}}^{{\mathrm{c}}}}

,

P

k
,
s

{P_{k,{\mathrm{s}}}}

,

P

k
,
w

c

{P_{k,{\mathrm{w}}}^{{\mathrm{c}}}}

and

P

k
,
w

{P_{k,{\mathrm{w}}}}

, the sets of all

p
∈

[
1
,
∞
]

{p\in[1,\infty]}

for which the weak and strong type

(
p
,
p
)

{(p,p)}

inequalities hold for the centered and non-centered modified Hardy–Littlewood maximal operators

M
k
c

{M^{{\mathrm{c}}}_{k}}

and

M
k

{M_{k}}

,

k
≥
1

{k\geq 1}

. For any fixed k we describe the necessary conditions that

P

k
,
s

c

{P_{k,{\mathrm{s}}}^{{\mathrm{c}}}}

,

P

k
,
s

{P_{k,{\mathrm{s}}}}

,

P

k
,
w

c

{P_{k,{\mathrm{w}}}^{{\mathrm{c}}}}

and

P

k
,
w

{P_{k,{\mathrm{w}}}}

must satisfy in general and illustrate each admissible configuration with a properly chosen non-doubling metric measure space. We also give some partial results related to an analogous problem stated for varying k.
Recent advances in the development of legumain-selective chemical probes and peptide prodrugs
Authors: Poreba Marcin 
Published: April 2019

Abstract
Legumain, which is also known as vacuolar processing enzyme (VPE) or asparaginyl endopeptidase (AEP), is a cysteine protease that was first discovered and characterized in the leguminous seeds of the moth bean in the early 1990s. Later, this enzyme was also detected in higher organisms, including eukaryotes. This pH-dependent protease displays the highest activity in acidic endolysosomal compartments; however, legumain also displays nuclear, cytosolic and extracellular activity when stabilized by other proteins or intramolecular complexes. Based on the results from over 25 years of research, this protease is involved in multiple cellular events, including protein degradation and antigen presentation. Moreover, when dysregulated, this protease contributes to the progression of several diseases, with cancer being the well-studied example. Research on legumain biology was undoubtedly facilitated by the use of small molecule chemical tools. Therefore, in this review, I present the historical perspectives and most current strategies for the development of small molecule substrates, inhibitors and activity-based probes for legumain. These tools are of paramount importance in elucidating the roles of legumain in multiple biological processes. Finally, as this enzyme appears to be a promising molecular target for anticancer therapies, the development of legumain-activated prodrugs is also described.
Parallelfedern als Führungsmechanik für Tastsysteme
Authors: Frühauf Joachim , Sorger Alexander 
Published: April 2019

Zusammenfassung
Parallelfedern eignen sich als Führungsmechanik für Tastsysteme der Oberflächen- und Profilmesstechnik. Der Aufbau realisierter Systeme (Gestell-Federn-Koppel) mit Federn aus Stahl oder Kunststoff (PET) wird beschrieben. Anschließend werden relevante Eigenschaften (z. B. Federkonstanten in z-Richtung und in den Querrichtungen y bzw. x, die Querabweichung und die Verkippung der Koppel bei Auslenkung um

Δ
z

\Delta z

und die Eigenfrequenz) theoretisch betrachtet und Messergebnisse vorgestellt. Es folgen relevante Betrachtungen für die Anwendung wie die Einstellung der Tastkraft und die Korrektur der Querabweichung, sowie als Beispiele die Messung eines Formprofils und eine Rauheitsmessung. Abschließend werden weitere Anwendungsaspekte vorgestellt.
Physiological and Behavioral Responses to Optogenetic Stimulation of PKD2L1+Type III Taste Cells
Authors: Wilson Courtney E. , Vandenbeuch Aurelie , Kinnamon Sue C. 
Published: April 2019

AbstractType III taste cells in mammalian taste buds are implicated in the detection and communication of sour and some salty stimuli, as well as carbonation and water. With this variety of proposed roles, it is unclear what information activated type III cells are communicating to the CNS. To better elucidate the role of type III cells in the taste bud, we use a type III cell-specific protein (polycystic kidney disease 2-like 1) to drive Cre-dependent expression of light-sensitive channelrhodopsin (Ai32) in mouse type III taste cells. Activation of these cells with light produces a taste nerve response in both the chorda tympani and glossopharyngeal nerves, and elicits a slight but significant aversion in two-bottle preference tests in both male and female mice. Unlike previous reports (Zocchi et al., 2017), our mice did not react to blue light stimulation with sustained drinking responses. These data suggest that type III cells are capable of communicating the presence of aversive stimuli in the oral cavity, which is in line with their responsiveness to sour and high concentrations of salt stimuli.