DCCA and DMCCA framework for multimodal biometric system

Multimedia Tools and Applications - Deep networks have been successfully applied to unsupervised feature learning for single modalities such as Text, Image, or Audio. Here, we present the Deep...     

Esophageal actinomycosis in a patient with end‐stage renal disease

Actinomycosis of esophagus is uncommon. Herpes simplex virus, cytomegalovirus, candidiasis, tuberculosis, and other fungal infections are the commonly reported infections in both immunocompromised and immunocompetent patients. We report a case of esophageal actinomycosis in an end‐stage renal disease patient. A 28‐year‐old lady, known case of systemic lupus erythematosus, hepatitis B virus infection with end‐stage renal disease on regular maintenance hemodialysis since 5 years presented with history of epigastric pain and odynophagia for 1 week. Her upper gastrointestinal endoscopic examination revealed extensive necrotic areas with membrane in the esophagus. Histopathology revealed actinomycotic colonies and bacterial clumps. She was treated with intravenous penicillin followed by oral ampicillin for 6 months. She showed marked clinical improvement, and repeat endoscopy showed healing of ulceration and no evidence of actinomycosis.     

Characterization of KIM LIPI’s Relative Humidity Standard

At present, KIM LIPI is able to provide self-traceability in the scope of hygrometer calibrations in the range of 10–95 %RH using commercial two-pressure humidity generator as the standard which, previously, was traceable to SI unit through another NMI. In order to examine the calibration system, uncertainty of the calibration results was evaluated by performing characterization including measurement of saturator efficiency and chamber temperature distribution. A mini chamber was used to improve the chamber temperature uniformity. The validity of the RH calculation was evaluated by comparing our RH calculation with commercially available softwares. As a result, saturator efficiency gives the uncertainty 0.064 and 0.07 %RH at 20 and 27 °C. The contribution of uncertainty due to temperature non-uniformity is 0.014–0.14 %RH. The difference calculation with the commercial software is less than 0.01 %RH.     

Vertical Handover Over Intermediate Switching Framework: Assuring Service Quality for Mobile Users

Ensuring quality of service (QoS) for the mobile users during vertical handover between IEEE 802.11 wireless local area networks (WLAN) and data network provided by Ultramodern Telecommunication Systems (UMTS) is one of the key requirements for seamless mobility and transfer of existing connections from one network to another. QoS fulfillment is a complex problem and requires participation of both the mobile users as well as the connection networks. The QoS assurance criteria for existing connections can be affected by fluctuations of data rates when a user moves from the high speed WLAN network to the low speed UMTS network, even in the presence of another WLAN network in its vicinity. This can happen if the alternate WLAN network is highly loaded. Therefore handover from a high speed network to a low speed network should be avoided, whenever possible. This paper proposes a QoS based handover procedure that prioritizes the existing connection over the new connections so that rate fluctuations due to handover can be avoided if there exist another WLAN network in the range of the mobile user. Whenever the possibility of handover is detected, a pre-handover bandwidth reservation technique is used to reserve bandwidth at the alternate WLAN networks to avoid QoS degradation. The proposed scheme is implemented in Qualnet network simulator and the performance is analyzed and compared with traditional handover techniques.     

Thieno[3,2‐b]thiophene Flanked Isoindigo Polymers for High Performance Ambipolar OFET Applications

The synthesis of a new thieno[3,2‐b]thiophene isoindigo (iITT) based monomer unit, and its subsequent incorporation into a series of alternating copolymers is reported. Copolymerisation with benzothiadiazole, bithiophene and thiophene comonomer units by palladium catalysed cross coupling gives three new narrow band gap semiconducting polymers for OFET applications. Extending the fused nature of the isoindigo core serves to further enhance molecular orbital overlap along the polymer backbones and facilitate good charge transport characteristics thus demonstrating the potential of extending the fused ring system that is attached to the isoindigo core. When used as the semiconducting channel in top‐gate/bottom‐contact OFET devices, good ambipolar properties are observed, with hole and electron mobilities up to 0.4 cm²/Vs and 0.7 cm²/Vs respectively. The three new polymers show good stability, with high temperature annealing showing an increase in the crystallinity of the polymers which corresponds directly to charge carrier mobility improvement as shown by X‐ray diffraction, atomic force microscopy and photothermal deflection spectroscopy.     

An Enhanced Crow Search Inspired Feature Selection Technique for Intrusion Detection Based Wireless Network System

Wireless Personal Communications - Recent development of cognitive computing driven evolutionary techniques improve the overall quality of service and user experience in wireless communication...     

Performance Study of Dual Unmanned Aerial Vehicles with Underlaid Device-to-Device Communications

Wireless Personal Communications - Unmanned aerial vehicle (UAV) as an aerial base station is a predominant cost-effective solution of coverage extension in wireless communication network. It has a...     

Multi-label personality trait identification from text

Understanding the personality is beneficial for many purposes, e.g., it is natural to predict a user’s personality before offering him or her any services. The personality is intrinsic in the behavior of a person in all aspects, such as text writing. Some work has been proposed in recent times for correctly classifying a person’s personality from the text. However, it is still a significant challenge as the achieved accuracy is low; therefore, the proposed work addresses this issue. Effective feature selection techniques provide better classification accuracy in multi-label classification and personality traits identification as multi-label classification problem requires efficacy of feature selection methods. Therefore, to improve the accuracy using feature selection technique, this paper proposes a method for personality trait recognition from textual data called P ersonality T rait Classification based on L inguistic and F eature selection as M ulti-label classification (PTLFM). It combines analysis of variance’s F-statistic, Chi-square, and Mutual information with the sequential feature selection wrapper method to rank features. These three criteria apprehend different aspects of the dataset. The experimental results demonstrate that the proposed PTLFM method achieves higher accuracy across all the personality traits than the prevailing state-of-the-art machine learning and deep learning models. PTLFM provides an impressive absolute improvement of 2.23% and 3.84% of comparative improvement over the existing prevalent method, with more than 90% of features discarded. Furthemore, the proposed PTLFM achieves a percentage gain compared to the competitive methods across different personality traits Extraversion, Neuroticism, Agreeableness, Conscientiousness, and Openness in absolute terms 1.17, 1.94, 2.35, 1.64, and 0.35 respectively, and in comparative terms 2.01, 3.27, 4.14, 2.86, and 0.56 respectively. The results suggest that although deep learning is a popular paradigm, it does not always lead to a better predictive performance than machine learning models in all the problem domains.