Conversations about Open Data on Twitter

Jalali, Seyed Mohammad Jafar,Park, Han Woo The Korea Contents Association 2017 International Journal of Contents Vol.13 No.1

Using the network analysis method, this study investigates the communication structure of Open Data on the Twitter sphere. It addresses the communication path by mapping influential activities and comparing the contents of tweets about Open Data. In the years 2015 and 2016, the NodeXL software was applied to collect tweets from the Twitter network, containing the term "opendata". The structural patterns of social media communication were analyzed through several network characteristics. The results indicate that the most common activities on the Twitter network are related to the subjects such as new applications and new technologies in Open Data. The study is the first to focus on the structural and informational pattern of Open Data based on social network analysis and content analysis. It will help researchers, activists, and policy-makers to come up with a major realization of the pattern of Open Data through Twitter.

Arrested pneumatization of the sphenoid sinus mimicking intraosseous lesions of the skull base

Jalali, Elnaz,Tadinada, Aditya Korean Academy of Oral and Maxillofacial Radiology 2015 Imaging Science in Dentistry Vol.45 No.1

Arrested pneumatization of the sphenoid sinus is a developmental variant that is not always well recognized and is often confused with other pathologies associated with the skull base. This report describes the case of a patient referred for cone-beam computed tomography (CBCT) imaging for dental implant therapy. CBCT demonstrated a well-defined incidental lesion in the left sphenoid sinus with soft tissue-like density and sclerotic borders with internal curvilinear opacifications. The differential diagnoses included intraosseous lipoma, arrested pneumatization of the sphenoid sinus, chondrosarcoma, chondroid chordoma, and ossifying fibroma. The radiographic diagnosis of arrested pneumatization was based on the location of the lesion, its well-defined nature, the presence of internal opacifications, and lack of expansion. Gray-scale CBCT imaging of the area demonstrated values similar to fatty tissue. This case highlighted the fact that benign developmental variants associated with the skull base share similar radiographic features with more serious pathological entities.

Squamous cell carcinoma arising within a maxillary odontogenic keratocyst: A rare occurrence

Jalali, Elnaz,Ferneini, Elie M.,Rengasamy, Kandasamy,Tadinada, Aditya Korean Academy of Oral and Maxillofacial Radiology 2017 Imaging Science in Dentistry Vol.47 No.2

Squamous cell carcinoma (SCC) arising within the lining of an odontogenic keratocyst (OKC) is a rare occurrence. Although potentially locally destructive, OKC is a benign odontogenic process that typically presents with clinical and radiographic features characteristic of a benign intraosseous neoplasm. We present the clinical and radiographic features of a maxillary mass that demonstrated SCC arising from the lining of an OKC. Although the initial clinical and radiographic presentation suggested an infection or malignant neoplasm, biopsies revealed an infiltrative well-differentiated SCC contiguous with and arising from the focus of a pre-existing OKC. The patient subsequently underwent a type II hemi-maxillectomy with neoadjuvant chemoradiation. This report discusses the clinical and radiographic features associated with intraosseous malignancies, especially those arising from an otherwise benign odontogenic lesion. While the majority of OKCs are benign, the current report illustrates the potential for carcinomatous transformation within the lining of an OKC.

Sensitive deep convolutional neural network for face recognition at large standoffs with small dataset

Jalali, A.,Mallipeddi, R.,Lee, M. Pergamon ; Elsevier Science Ltd 2017 expert systems with applications Vol.87 No.-

In this paper, we propose a sensitive convolutional neural network which incorporates sensitivity term in the cost function of Convolutional Neural Network (CNN) to emphasize on the slight variations and high frequency components in highly blurred input image samples. The proposed cost function in CNN has a sensitivity part in which the conventional error is divided by the derivative of the activation function, and subsequently the total error is minimized by the gradient descent method during the learning process. Due to the proposed sensitivity term, the data samples at the decision boundaries appear more on the middle band or the high gradient part of the activation function. This highlights the slight changes in the highly blurred input images enabling better feature extraction resulting in better generalization and improved classification performance in the highly blurred images. To study the effect of the proposed sensitivity term, experiments were performed for the face recognition task on small dataset of facial images at different long standoffs in both night-time and day-time modalities.

MICROMECHANICS MODEL FOR RUBBER BLENDS FILLED BY A NANO-REINFORCED DEVULCANIZED RECYCLED RUBBER: APPLICATION IN THE AUTOMOTIVE INDUSTRY

Jalali Seyed Kamal,Busfield James,Pugno Nicola 한국자동차공학회 2023 International journal of automotive technology Vol.24 No.4

The present report proposes a micromechanics model for predicting the dynamic modulus of rubber blends consisting of a base rubber and devulcanized recycled rubbers reinforced by nanofillers. A four-step hierarchical homogenization is established to relate the properties of components from the nano-sized reinforcements to the macro-scaled final blend. The developed model accounts for the effect of agglomeration and geometry of nano-fillers, the quality of the devulcanization process, and the properties of the interphase surrounding the nanofillers on the dynamic modulus of the rubber blend. A comprehensive dimensionless parametric study is performed whose output in terms of graphical maps can be used as a design guideline for practical cases in industries like automotive. A case study for recycled end-of-life tires (ELTs) reinforced by nano clays is presented and it is found that the nano reinforcement of devulcanized rubbers has a remarkable potential to compensate for the weakness compared to its virgin counterpart.

Consolidation deformation of Baghmisheh marls of Tabriz, Iran

Jalali-Milani, Shahrokh,Asghari-Kaljahi, Ebrahim,Barzegari, Ghodrat,Hajialilue-Bonab, Masoud Techno-Press 2017 Geomechanics & engineering Vol.12 No.4

Vast parts of the east of Tabriz city have been covered by Baghmisheh formation marls. These marls can be classified into three types based on their color as identified in yellow, green, and gray marls. Many high-rise buildings and other projects were founded and now is constructing on these marls. Baghmisheh formation marls are classified as stiff soil to very weak rock, therefore they undergo considerable consolidation settlement under foundation loads. This study presents the physical properties and consolidation behavior of these marls. According to the XRD tests, major clay minerals of marls are Illite, Kaolinite, Montmorillonite and Chloride. Uniaxial compressive strength are 100-250, 300-480 and 500-560 kPa for yellow, green and gray marls, respectively. Consolidation and creep behavior of Baghmisheh marls investigated by using of one dimensional consolidation apparatus under stress level up to 5 MPa. The results indicate that yellow marls have high compressibility, settlement and deformation modules. Green marls have an intermediate compressibility and settlement and while gray marls have low compressibility and settlement and from the foundation point of view have high stability. According to the creep test results, all types of marls have not been entered to progressive creep phase up to pressure 5 MPa.

Radiographic patterns of periosteal bone reactions associated with endodontic lesions

Jalali Poorya,Riccobono Jessica,Augsburger Robert A.,Tahmasbi Arashlow Mehrnaz 대한치과보존학회 2023 Restorative Dentistry & Endodontics Vol.48 No.3

Objectives The formation of new bone by periosteum due to an insult is called periosteal bone reaction (PBR). This study assessed the cone beam computed tomography (CBCT) patterns of periosteal bone reactions associated with periapical inflammatory lesion (apical periodontitis/periapical rarefying osteitis). Materials and Methods Twenty-two small field of view CBCT images of patients with PBR were selected from a database of a private practice limited to endodontics. The volume of the periapical inflammatory lesion, the presence of cortical fenestration, the distance of the root apices to the affected cortex, and the location, pattern, and longest diameter of the periosteal reaction were recorded. Statistical analysis was performed using Wilcoxon Ranksum, Fischer’s exact, Spearman Correlation Coefficient, and paired t-test. Results In all cases, periosteal bone reaction manifested as either parallel (90.9%) or irregular (9.1%). No correlation was found between periapical inflammatory lesion volume and the periosteal reaction's longest diameter (p > 0.05). Cortical fenestration was noted in 72.7% of the cases. In addition, the findings showed that periosteal reactions were located mostly on the buccal and were present 53.8% and 100% of the time in the mandible and maxilla, respectively. Conclusions The periosteal reactions of endodontic origin had a nonaggressive form (i.e., parallel or irregular), and none of the lesions resulted in a periosteal reaction with an ominous Codman’s triangle or spicule pattern. Objectives The formation of new bone by periosteum due to an insult is called periosteal bone reaction (PBR). This study assessed the cone beam computed tomography (CBCT) patterns of periosteal bone reactions associated with periapical inflammatory lesion (apical periodontitis/periapical rarefying osteitis). Materials and Methods Twenty-two small field of view CBCT images of patients with PBR were selected from a database of a private practice limited to endodontics. The volume of the periapical inflammatory lesion, the presence of cortical fenestration, the distance of the root apices to the affected cortex, and the location, pattern, and longest diameter of the periosteal reaction were recorded. Statistical analysis was performed using Wilcoxon Ranksum, Fischer’s exact, Spearman Correlation Coefficient, and paired t-test. Results In all cases, periosteal bone reaction manifested as either parallel (90.9%) or irregular (9.1%). No correlation was found between periapical inflammatory lesion volume and the periosteal reaction's longest diameter (p > 0.05). Cortical fenestration was noted in 72.7% of the cases. In addition, the findings showed that periosteal reactions were located mostly on the buccal and were present 53.8% and 100% of the time in the mandible and maxilla, respectively. Conclusions The periosteal reactions of endodontic origin had a nonaggressive form (i.e., parallel or irregular), and none of the lesions resulted in a periosteal reaction with an ominous Codman’s triangle or spicule pattern.

High cursive traditional Asian character recognition using integrated adaptive constraints in ensemble of DenseNet and Inception models

Jalali, Amin,Lee, Minho Elsevier 2020 Pattern recognition letters Vol.131 No.-

<P><B>Abstract</B></P> <P>In this paper, we propose integrated adaptive sensitivity and robustness terms for the cost function of a convolutional neural network (CNN). The sensitivity term considers the slight variations and high frequency components of the input image samples. It distinguishes between images that look similar but belong to different classes. This regularizer is designed to enhance the between-class distance which is a biological definition for the simple cells of the visual system. On the other hand, the robustness term is used to develop a more stable CNN structure against disturbances and perturbations. The robust term provides better within-class features because it recognizes images that look different but are actually from the same class. The robust term symbolizes the complex cell characteristics of the visual system. The coefficients of the sensitivity and robustness regularization terms are adaptively tuned along with the network parameters using gradient descent. Two optimizers are assigned to tune the parameters: one for tuning the model parameters and the other one to adjust the sensitivity and robustness coefficients. This approach is applied to Korean traditional documents for character classification. The results show better within- and between-class classification ability for highly complex character styles with imbalanced number of samples.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Integrated adaptive sensitivity and robustness terms regularizes the structure. </LI> <LI> Sensitivity term differs images that look similar but belong to different classes. </LI> <LI> Robustness constraint provides better within-class features for classification. </LI> <LI> Robust term recognizes images that look different but are from the same class. </LI> <LI> Proposed model improves the complex Korean traditional character classification. </LI> </UL> </P>

Numerical simulation of 3D viscoelastic developing flow and heat transfer in a rectangular duct with a nonlinear constitutive equation

Jalali, A.,Hulsen, M.A.,Norouzi, M.,Kayhani, M.H. 한국유변학회 2013 Korea-Australia rheology journal Vol.25 No.2

This paper presents a numerical simulation of the developing flow and heat transfer of a viscoelastic fluid in a rectangular duct. In fully developed flow of a viscoelastic fluid in a non-circular duct, secondary flows normal to the flow direction are expected to enhance the rate of heat and mass transfer. On the other hand, properties such as viscosity, thermal conductivity, specific heat and relaxation time of the fluid are a function of temperature. Therefore, we developed a numerical model which solves the flow and energy equation simultaneously in three dimensional form. We included several equations of state to model the temperature dependency of the fluid parameters. The current paper is one of the first studies which present a 3D numerical simulation for developing viscoelastic duct flow that takes the dependency of flow parameters to the temperature into account. The rheological constitutive equation of the fluid is a common form of the Phan-Thien Tanner (PTT) model, which embodies both influences of elasticity and shear thinning in viscosity. The governing equations are discretized using the FTCS finite difference method on a staggered mesh. The marker-and-cell method is also employed to allocate the parameters on the staggered mesh, and static pressure is calculated using the artificial compressibility approach during the numerical simulation. In addition to report the results of flow and heat transfer in the developing region, the effect of some dimensionless parameters on the flow and heat transfer has also been investigated. The results are in a good agreement with the results reported by others in this field.

Effect of Vanilla as a Natural Alternative to Traditional Carriers in Polyester Dyeing with Disperse Dyes

Sara Jalali,Reihaneh Rezaei,Mansoureh Ghanbar Afjeh,Niloofar Eslahi 한국섬유공학회 2019 Fibers and polymers Vol.20 No.1

In this work, a new natural-based approach was exploited to improve the low temperature carrier method in dyeing process of polyester fabrics. Vanilla was introduced as an alternative substitute for commercial toxic carriers including CTM and Levegal PEW in particular. With use of vanilla in dyeing process, the dye uptake of PET fabrics dyed with C.I. Disperse blue 56 and C.I. Disperse Red 1 was increased significantly. In order to have an economical dyeing process, a two-component mixture of carrier and vanilla was assessed to reduce the consumption of carrier (1/6 of optimum amount) and vanilla. The results showed that vanilla and commercial carriers were compatible and so their mixtures led to higher dye uptake compared to each one individually. The study confirmed that vanilla as an eco-friendly material could substitute the use of commercial carriers in polyester dyeing and led to excellent wash, rub, and better light fastness properties.