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Keyword: HANA Joint Source Channel Decoding for Image Transmission
In this paper, we present a joint source-channel decoding (JSCD) scheme for image transmission. The binary sequences, resulting from the compression of several number of image blocks using arithmetic coding (AC), are written line-wise in the so called read- matrix (RM). In succession, a systematic Low Density Parity Check (LDPC) encoding is applied to the…
Read MoreQ2 YouTube: Quantitative and Qualitative Information Analysis based Influencer-aware YouTube Channel Ranking Scheme
With the development of big data, artificial intelligence and deep learning, various social information networks are becoming exponentially intelligent. Of all the various social networks, YouTube is so popular that it is called the YouTube era. Not only video viewers, but also actual video producers, influencer youtubers, are increasing, allowing individuals as well as operators…
Read MoreMechanical Testing Methods for Body-Powered Upper-Limb Prostheses: A Case Study
3D-printing technologies have greatly influenced the field of fabrication of medical devices. In particular, Fused Deposition Modeling 3D printing has emerged as one the most popular and most promising technologies for fabricating upper-limb prostheses. Over the last years, a variety of types and designs of 3D-printed hand prostheses have been created and are commercially available.…
Read MoreMechanical Behaviors of Kaolin Powder Filler Polypropylene/Low Density Polyethylene Blends
In this work, kaolin powder was filled in PP/LDPE blend as the filler with the amount from 0 to 14 wt%. The ratio of PP/LDPE was fixed as 50/50 in all the experiments. The tensile strength, impact strength, and hardness were investigated in according with ASTM. The results showed that the tensile strength of PP/LDPE…
Read MoreHidden Surface Removal for Interaction between Hand and Virtual Objects in Augmented Reality
Recently, augmented reality (AR) technology has been applied to the inter- action technology between human and virtual objects. In AR interaction technology, it is necessary for users to be able to manipulate virtual objects intuitively. Thus, we focus on manipulating virtual objects directly with the user’s bare hands in this study. On the other hand,…
Read MoreUsing Privacy Enhancing and Fine-Grained Access Controlled eKYC to implement Privacy Aware eSign
eSign is an online electronic signature service which is recently gaining more prominence in India. eSign is based on two online services from UIDAI, viz. a viz., Aadhaar based authentication and retrieval of resident’s eKYC information after taking his/her consent. With increased adoption of Aadhaar based services, privacy of user data has become more and…
Read MoreEnhancing Bodily Movements of the Visually Impaired Children by Airflow
This study involved three departments of teachers and students. The concept of the flow-motivated exercise implemented with a set of flow nozzles. A computer-controlled airflow with specific music introduced, and the motion responses from the participants were analyzed during the initial test and field study. During the initial examination, we adjusted the magnitude and distance…
Read MoreInvestigating The Detection of Intention Signal During Different Exercise Protocols in Robot-Assisted Hand Movement of Stroke Patients and Healthy Subjects Using EEG-BCI System
Improving the hand motor skills in post-stroke patients through rehabilitation based on movement intention derived signals from the brain in conjunction with robot-assistive technologies are explored. The experimental work is conducted using Electroencephalogram based Brain-Computer Interface (EEG-BCI) system and the AMADEO hand rehabilitation robotic device. Two protocols using visual-cues and then using a 2-Dimensional (2D)…
Read MoreExchange Rate Modeling: Medium-Term Equilibrium Dynamics
In this study, we develop the author’s approach, based on the principles of modeling of the International Flows Equilibrium Exchange Rate (IFEER). As a result, a new model is built, depending on the main macroeconomic factors in the medium term. The model presents a wide system of basic factors, but many of the intermediate factors…
Read MoreAn Enhanced Fuzzy Clustering with Cluster Density Immunity
Clustering is one of the well-known unsupervised learning methods that groups data into homogeneous clusters, and has been successfully used in various applications. Fuzzy C-Means(FCM) is one of the representative methods in fuzzy clustering. In FCM, however, cluster centers tend leaning to high density area because the sum of Euclidean distances in FCM forces high…
Read MoreEffects of Using Fuzzy Material Handling Inputs in the Genetic Algorithm for Machine Layout
This study introduces the implementation of fuzzy set theory to solve machine layout design issues, in order to handle vague information, using a genetic algorithm with tournament selection as the selection operator. The material handling inputs, including frequency and volume of materials that move between machines, were the parameters regarded as fuzzy numbers. The experimental…
Read MoreAn Extension of Throughput Drop Estimation Model for Three-Link Concurrent Communications under Partially Overlapping Channels and Channel Bonding in IEEE 802.11n WLAN
The IEEE 802.11n wireless local-area network (WLAN) has been extensively deployed around the world due to the flexibility, lower cost, and the high-speed data transmission capability at 2.4 GHz ISM band. However, in the WLAN deployment, one key challenge is to optimize the channel assignment of access-points (APs) under the small number of partially overlapping…
Read MoreDevelopment of Tactile Display and an Efficient Approach to Enhance Perceptual Analysis in Rehabilitation
Tactile displays are widely used in the rehabilitation and education of blind persons, as it is one of the media of communication amongst them. Tactile display performance is measured in terms of accuracy in presenting pattern, accuracy in identification, recognition and reading time of presented pattern. However, it has had meager attention from researchers. This…
Read MoreSentiment Analysis on Twitter for Predicting Stock Exchange Movement
This paper is proposed to build a model by applying two methods, namely support vector machine and nonnegative matrix factorization in the process of predicting stock market movement using twitter and historical data. The stock exchange is based on the LQ 45 stock with period from August 2018 – January 2019. The features consist of…
Read MoreMulti-Band Hand of God Antenna with Functionality Variation with Use of Slots and Feed Position
This article investigates different versions of a new multi-band micro-strip antenna design. NASA inspired the antenna design from “Hand of God” galaxy discovery. A multi-band operation between 0.15 and 8 [GHz] is obtained and captures up to 10 frequency bands. The antenna has a small area of 4 x 5 cm2 and is printed on…
Read MoreFlame Distribution and Attenuation in Narrow Channels Using Mathematical Software
The article of given research presents the mathematical and computer modeling of flame attenuation in narrow channels for different fire extinguishing and explosion suppression compositions. Such kind of flame distribution and attenuation could be considered for different media and channels but in this case it was considered for narrow channels. The effect on the combustion…
Read MoreHybrid Technique for Enhancing Underwater Image in blurry conditions
Enhancing underwater visualization using hybrid technique is generally employed into oceanic production. Through growing oceanic learning, undersea processing has drawn extra importance owing towards necessary task of picture towards attaining data. Although, suitable to reality of dust-like constituent and beam reduction, undersea descriptions continually experience small contrast and color alteration. In this paper, we estimate…
Read MoreW.A.S.T.E. R.E.D.U.C.E.: Waste Auditing Sensor Technology to Enhance the Reduction of Edible Discards in University Cafeterias & Eateries
Food waste disposal and food availability are both problems in the world today. The ability to monitor food waste is currently limited by the use of manual data collection and sparsity of monitoring. Using sensors to automate the process of measuring and collecting data on food waste would allow constant monitoring and provide a better…
Read MorePAPR and BER Performances of OFDM System with Novel Tone Reservation Technique Over Frequency Non-Selective Fading Channel
An Orthogonal Frequency Division Multiplexing (OFDM) system with Quadrature Phase Shift Keying (QPSK) mapper is considered. A novel low-complexity Tone Reservation (TR) technique is proposed for reduction of Peak-to-Average Power Ratio (PAPR) of the system. The technique is easy-to-implement and minimizes the search space of phases of reserved tones in the system. The ability of…
Read MoreEnhancing and Monitoring Patient Outcomes Through Customized Learning
Chronic diseases such as heart disease, cancer, diabetes, and asthma continue to increase in the general public within the modern era. With careful observation of the symptoms potential diseases may be detected early and managed properly. For that to happen, the awareness of the symptoms and proper knowledge about the diseases may be needed for…
Read MoreLow Contrast Image Enhancement Using Convolutional Neural Network with Simple Reflection Model
Low contrast images degrade the performance of image processing system. To solve the issue, plenty of image enhancement methods have been proposed. But the methods work properly on the fixed environment or specific images. The methods dependent on fixed image conditions cannot perform image enhancement properly and perspective of smart device users, algorithms including iterative…
Read MoreFuzzy Logic Implementation for Enhanced WCDMA Network Using Selected KPIs
The paper focused on the implementation of fuzzy logic technology for improved Wideband Code Division Multiple Access (WCDMA) network using selected Key Performance Indicators (KPIs). Empirical and analytical methods were principally deployed for the study analyses. Empirical analyses were conducted on two designated networks which are MTN and AIRTEL observed with high network traffic to…
Read MoreMRI images Enhancement and Brain Tumor Segmentation
Brain tumor is the abnormal growth of cancerous cells in Brain. The development of automated methods for segmenting brain tumors remains one of the most difficult tasks in medical data processing. Accurate segmentation can improve diagnosis, such as evaluating tumor volume. However, manual segmentation in magnetic resonance data is a laborious task. The main problem…
Read MoreEmergence of Fun Emotion in Computer Games -An experimental study on fun elements of Hanafuda-
In recent years, research on game AI has expanded, and now it has become possible to construct even AI of complex games. In accordance with this trend, we constructed the AI of the Hanafuda with a certain degree of complexity. Because of applying the method used in other games to the ball game, we could…
Read MoreA Novel Technique for Enhancing Color of Undersea Deblurred Imagery
Exploring the ocean underneath has always been an area of great scientific and environmental concern. However, the study of underwater environment was very difficult due to the extreme conditions. Undersea descriptions undergo severe distortion attributed to absorptive as well as scattering properties. Absorption substantially removes illumination, whereas a ray of light redirected in several path…
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