bluuebunny/crossref_metadata_2025 huggingface dataset:
Automatic Change Detection in Older and Younger Women: A Visual Mismatch Negativity Study
Authors: Sulykos István , Gaál Zsófia Anna , Czigler István 
Published: April 2018

Background: In comparison to controlled (attentional) processing, relatively little is known about the age-related changes of the earlier (preattentive) processes. An event-related potential (ERP) index of preattentive (automatic) visual processing, the visual mismatch negativity (vMMN) is a good candidate for analyzing age-related differences in the automatic processing of visual events. Objective: So far results concerning age-related changes in vMMN have been equivocal. Our aim was to develop a method resulting in a reliable vMMN in a paradigm short enough to use in the applied field. Methods: We investigated an older (mean age: 66.4 years, n = 15) and a younger (mean age: 22.4 years, n = 15) group of healthy women. ERPs were obtained for checkerboard onset patterns in a passive oddball condition (during which participants performed a tracking task). One of the checkerboards was frequent (standard; p = 0.8), and the other was rare (deviant; p = 0.2). Results: vMMN emerged over posterior locations in the latency range of 100–300 ms in both age groups. The amplitude of the earlier part of the vMMN was similar in the older and the younger participants, but latency was longer in the older group. The later part of the vMMN was slightly diminished in the elderly. Conclusion: Automatic detection of violated sequential regularities, reflected by the vMMN, emerged in the two age groups (earlier vMMN). However, detection of stimulus change, a preattentive visual process delayed in the elderly, and identification of the specific change was compromised in the older participants.
Subacute Combined Degeneration: A Retrospective Study of 68 Cases with Short-Term Follow-Up
Authors: Cao Jie , Su Zhu-yi , Xu Sha-bei , Liu Chen-chen
Published: April 2018

Purpose: The study aimed to analyze the clinical characteristics, laboratory test results, neuroimaging findings, and outcomes in patients diagnosed with subacute combined degeneration (SCD). Materials and Methods: A total of 68 patients with SCD who had been appropriately treated for no less than 6 months were included in our study. Histories, results of routine blood tests, biochemical indices, serum vitamin B12 levels, and spinal magnetic resonance imaging (MRI) findings from the patients were studied and analyzed. Clinical signs and symptoms, graded using a functional disability rating scale, were scored at the time of admission and 3 and 6 months after admission. Results: Limb numbness, limb weakness, and gait disturbances were the most common symptoms in patients with SCD. All patients showed clinical improvement to different degrees at the follow-up visits after vitamin B12 treatment. No differences in rating score were found in patients grouped by sex, hemoglobin level, serum vitamin B12, or MRI manifestations at the time of admission or at the follow-up visits. Younger patients and those with shorter disease courses had better rating scores at the short-term follow-up visits. Conclusion: Anemia, low levels of serum vitamin B12, and MRI abnormalities in the spinal cord are not expected to be associated with worse clinical manifestations. The age of onset and course of disease are important in evaluating the short-term prognosis of patients with SCD.
MalayIK: An Ontological Approach to Knowledge Transformation in Malay Unstructured Documents
Authors: Sidi Fatimah , Ishak Iskandar , Jabar Marzanah A.
Published: April 2018

The number of unstructured documents written in Malay language is enormously available on the web and intranets. However, unstructured documents cannot be queried in simple ways, hence the knowledge contained in such documents can neither be used by automatic systems nor could be understood easily and clearly by humans. This paper proposes a new approach to transform extracted knowledge in Malay unstructured document using ontology by identifying, organizing, and structuring the documents into an interrogative structured form. A Malay knowledge base, the MalayIK corpus is developed and used to test the MalayIK-Ontology against Ontos, an existing data extraction engine. The experimental results from MalayIK-Ontology have shown a significant improvement of knowledge extraction over Ontos implementation. This shows that clear knowledge organization and structuring concept is able to increase understanding, which leads to potential increase in sharable and reusable of concepts among the community.
UDP Pervasive Protocol Implementation for Smart Home Environment on MyRIO using LabVIEW
Authors: Kurniawan Wijaya , Ichsan Mochammad Hannats Hanafi , Akbar Sabriansyah Rizqika
Published: April 2018

Smart Home concept is to connect several devices to perform control and the device to be controlled to help any human needs. So it should have one device being Host and several devices being Client. The environment in this case is a home that there is too much technology that planted technologies that has much influence at human activities is called pervasive computing. The device communication should be has a protocol, at the research used UDP protocol because it doesn't need to negotiate before performing communication like a TCP. With UDP behavior did not use to validate at every send or deliver data because at Smart Home environment doesn't need a large or big data being processed. LabView used at this research based on previous research, but MyRIO has used this research to perform Client and Host performed by PC. So it can measure how usable the design that created. This research proves that LabView and MyRIO successfully implemented with the design that created to perform Pervasive Computing for Smart Home environment. Functional testing scenario conducted by every condition that on system environment, based on design all testing scenario successfully and working as well as expected.
A Single-Stage Quadrature LMVs
Authors: Oh Nam-Jin
Published: April 2018

This paper proposes three kinds of single stage RF front-end, called quadrature LMVs (QLMVs), by merging LNA, single-balanced mixer, and quadrature voltage-controlled oscillator (VCO) exploiting a series LC (SLC) network. The low intermediate frequency (IF) or baseband signal near dc can be directly sensed at the drain nodes of the VCO switching transistors by adding a simple resistor-capacitor (RC) low-pass filter (LPF). Using a 65 nm CMOS technology, the proposed QLMVs are designed. Oscillating at around 2.4 GHz band, the proposed QLMVs achieve the phase noise below ‒107 dB/Hz at 1 MHz offset frequency. The simulated voltage conversion gain is larger than 30 dB. The double-side band (DSB) noise figure (NF) of the proposed QLMVs is below 10 dB. The QLMVs consume less than 0.51 mW dc power from a 1-V supply.
A Simplified Design and Modeling of Boost Converter for Photovoltaic Sytem
Authors: Pradhan Arjyadhara , Panda Bhagabat
Published: April 2018

The Photovoltaic standalone system is gaining its high importance mostly for rural application like pv water pumping, solar lighting, battery charging etc.Considering environmental effects and scarcity of fossil fuel the trend has developed towards the use of more and more renewable energy.In this paper a basic circuit of boost converter is designed in MATLAB/Simulink with constant dc source voltage. However a comparative study has also been done for the converter connected with pv system directly with the converter connected with mppt tracking technique. Perturb and Observance (P&O) algorithm is implemented for providing the necessary duty pulse and makes the system operate at maximum power point.The boost converter connected with PV system without mppt operates at any other point other then the maximum power point and hence the output voltage decreases.But with mppt the proposed system performs better.
Noise Analysis of Trans-impedance Amplifier (TIA) in Variety Op Amp for use in Visible Light Communication (VLC) System
Authors: Fuada Syifaul , Putra Angga Pratama , Aska Yulian , Adiono Trio
Published: April 2018

VLC is a complex system with lots of challenges in its implementation. One of its problems is noise that originated from internal and external sources (sunlight, artificial light, etc). Internal noise is originated from active components of analog front-end (AFE) circuit, which will be discussed in this paper, especially on the trans-impedance amplifier (TIA) domain. The noise characteristics of AFE circuit in VLC system has been analyzed using the variety of available commercial Op Amp and different types of the photodiode (Si, Si-PIN, Si APD). The approach of this research is based on analytical calculus and simulation using MATLAB®. The results of this research show that the main factor that affecting the noise is en, the feedback resistor (Rf), and junction capacitor in the photodiode (Cj). Besides that, the design concept of multi channel TIA (8 channel) using IC Op Amp, with consideration of pin number of each Op Amp, supply needs, the initial value of Rf, converter to 8-DIP and feedback capacitor (Cf) channel, also discussed in this paper.
Design, Realization and Measurements of Compact Dual-band CPW-fed Patch Antenna for 2.45/5.80 GHz RFID Applications
Authors: Tarbouch Mohamed , El Amri Abdelkebir , Terchoune Hanae
Published: April 2018

In this paper, a Coplanar Wave Guide (CPW)-Fed microstrip octagonal patch antenna for RFID Applications is proposed. The studied structure is suitable for 2.45/5.80 GHz applications. The octagonal shape is obtained by making triangular cuts in the four angles of the rectangular microstrip patch antenna; in addition the using of CPW-Fed allows obtaining UWB characteristics in the higher band. The miniaturization in the antenna size for lower band is achieved by introducing an inverted E slot in the radiating element. The proposed antenna is designed on a single and a small substrate board of dimensions 29.5×29.5×1.6 mm3. Moreover the miniaturized antenna has a good impedance matching and an enhanced gain. The simulation analysis was performed using the CADFEKO software, a Method of Moment (MoM) based solver, and a prototype of this antenna was fabricated, good agreement with the simulation providing validation of the design procedure. The measurements are done with ANRITSU MS2026C Vectorial Network Analyzer.
Migration of Virtual Machine to improve the Security of Cloud Computing
Authors: Chandrakala N. , Rao B. Thirumala
Published: April 2018

Cloud services help individuals and organization to use data that are managed by third parties or another person at remote locations. With the increase in the development of cloud computing environment, the security has become the major concern that has been raised more consistently in order to move data and applications to the cloud as individuals do not trust the third party cloud computing providers with their private and most sensitive data and information. This paper presents, the migration of virtual machine to improve the security in cloud computing. Virtual machine (VM) is an emulation of a particular computer system. In cloud computing, virtual machine migration is a useful tool for migrating operating system instances across multiple physical machines. It is used to load balancing, fault management, low-level system maintenance and reduce energy consumption. Virtual machine (VM) migration is a powerful management technique that gives data center operators the ability to adapt the placement of VMs in order to better satisfy performance objectives, improve resource utilization and communication locality, achieve fault tolerance, reduce energy consumption, and facilitate system maintenance activities. In the migration based security approach, proposed the placement of VMs can make enormous difference in terms of security levels. On the bases of survivability analysis of VMs and Discrete Time Markov Chain (DTMC) analysis, we design an algorithm that generates a secure placement arrangement that the guest VMs can moves before succeeds the attack.
Designing Framework for Standardization Case Study: Lithium-Ion Battery Module in Electric Vehicle Application
Authors: Sutopo Wahyudi , Abdul Kadir Evizal
Published: April 2018

Standardization is one of the important things before to deploy a product. Regulation such as national standard has important roles in industry. The roles of standard such as ensuring safety for consumer and producer, increasing product competitiveness, and reducing trade berries. Indonesia is currently in the stage of developing industry of electric vehicle, so that standard which is related to electric vehicle, one of it is standard for the electric vehicle battery. Besides that, Indonesia does not have a relevant standard to regulate. This study is intended to make a framework for standardization of lithium-ion battery module product using A Framework for Analysis, Comparison, and Testing of Standard (FACTS) approach. There are three stages in FACTS approach, they are analysis, comparison, and testing. Based on the result of this research, the framework of lithium-ion battery module product standard consists of 8 parameters.
Bit Error Rate (BER) QoS Attribute in Solving Wireless Pricing Scheme on Single Link Multi Service Network
Authors: Irmeilyana Irmeilyana , Puspita Fitri Maya , Indrawati Indrawati , Agustin Rahayu Tamy
Published: April 2018

Pricing schemes were set up on multi service network of wireless internet pricing scheme to proposed models applying Bit Error Rate QoS attribute due to requirements for ISP to maximize revenue and provide high quality of service to end users.The model was deigned by improving the original model together with added parameters and variables to the model of multi- service network by setting the base price (α) and premium quality (β) as variables and parameters. LINGO 11.0 were applied to help finding the solution. The results show that the improved models yield maximum revenue for ISP by applying the improved model by setting up a variable α and β as constant as well as by increasing the cost of all the changes in QoS. The QoS attriute BER is proven to achieve the ISP’s goal to maximize the revenue.
A Coalition-Formation Game Model for Energy-Efficient Routing in Mobile Ad-hoc Network
Authors: Sahnoun Abdelkabir , Habbani Ahmed , Abbadi Jamal El
Published: April 2018

One of the most routing problems in Mobile Ad-hoc Network is the node’s selfishness. Nodes are generally selfish and try to maximize their own benefit; hence these nodes refuse to forward packet on behalf of others to preserve their limited energy resources. This selfishness may lead to a low efficiency of routing. Therefore, it is important to study mechanisms which can be used encourage cooperation among nodes, to maintain the network efficiency. In this paper, we propose a cooperative game theoretic model to support more energy-aware and available bandwidth routing in MANET. We introduce a novel framework from coalitional-formation game theory, called hedonic coalition-formation game. We integrate this model to OLSR protocol that is an optimization over the classical link state protocol for the MANETs. Within each coalition, a coalition coordinator acts as a special MPR node to improve the energy efficient and the packet success rate of the transmission. Simulation results show how the proposed algorithm improve the performance in terms of the percentage of selected MPR nodes in the network, the percentage of alive nodes by time, and the Packet Delivery Ratio. Which prove that our proposed model leads, to better results compared to the classical OLSR.
Sukuk Rating Prediction using Voting Ensemble Strategy
Authors: Kartiwi Mira , Gunawan Teddy Surya , Arundina Tika , Omar Mohd Azmi
Published: April 2018

Islamic finance development has grown into a focal point in many countries accros the globe. Sukuk, in particular, an Islamic investment product that has received growing attention from sovereigns, multinational and national organizations from both developed and emerging economies. Its uses has been aimed to finance investments in a varieties of economic activities and development projects. Despite the promising look of Sukuk, currently there is lack of studies had been to examine and predict the rating of the Sukuk. As a result, many practitioners adopted the conventional bond hence ignore the fact that these two instruments are different in nature. In order to fill the gap in the literature, it is the aim of this research to develop an ensemble model that can be used to predict Sukuk rating. The effectiveness of the proposed models were evaluated using dataset on Sukuk issuance for domestic from 2006 to 2016. The results indicate that the overall performance of the ensemble model is fall short behind the i duction decision tree (IDT) model. However, the class precision of the ensemble model improved, particularly in predicting the lowest rating of Sukuk.
Engfi Gate: An Indoor Guidance System using Marker-based Cyber-Physical Augmented-Reality
Authors: Subakti Hanas , Tolle Herman , Aswin Muhammad
Published: April 2018

A guidance system is needed when freshmen explore their new building environment. With the advancements of mobile technologies, a guidance system using mobile computing devices such as mobile phones or tablets could aid freshmen in locating the desired destination with ease. The proposed system consists of three main subsystems: the marker-based cyber-physical interaction (CPI) system, the indoor positioning (IP) system, and the augmented-reality (AR) system. With the help of visible markers and invisible markers, the CPI system allows the users to do interactions between the physical and cyber environments; the IP system produces accurate user position information; the AR system provides the users with good user experiences. An Android application, named Engfi Gate, is developed to realize the system design in the test environment. This paper also shows the comparisons of the proposed system with other related systems. Furthermore, the design architecture of Engfi Gate system can be used in other location-based applications.
A Sense-based Registration Process for TDMA in IEEE 802.11 Network
Authors: Aji Rizal Fathoni , Suhartanto Heru , Yazid Setiadi
Published: April 2018

TDMA implementation offer better fairness and throughput in IEEE 802.11. To implement TDMA, new registration process is needed, because current registration mechanism can disrupt TDMA process. This paper proposes a sense-based TDMA registration process using service slot and random timer. Simulation result shows, by using our mechanism, we can reduce the number of unused timeslot, and for 10 new nodes, each node only need 7 ms to complete the registration process.
Development of Quranic Reciter Identification System using MFCC and GMM Classifier
Authors: Gunawan Teddy Surya , Muhamat Saleh Nur Atikah , Kartiwi Mira
Published: April 2018

Nowadays, there are many beautiful recitation of Al-Quran available. Quranic recitation has its own characteristics, and the problem to identify the reciter is similar to the speaker recognition/identification problem. The objective of this paper is to develop Quran reciter identification system using Mel-frequency Cepstral Coefficient (MFCC) and Gaussian Mixture Model (GMM). In this paper, a database of five Quranic reciters is developed and used in training and testing phases. We carefully randomized the database from various surah in the Quran so that the proposed system will not prone to the recited verses but only to the reciter. Around 15 Quranic audio samples from 5 reciters were collected and randomized, in which 10 samples were used for training the GMM and 5 samples were used for testing. Results showed that our proposed system has 100% recognition rate for the five reciters tested. Even when tested with unknown samples, the proposed system is able to reject it.
Design and Implement a Hybrid WebRTC Signalling Mechanism for Unidirectional & Bi-directional Video Conferencing
Authors: Edan Naktal , Al-Sherbaz Ali , Turner Scott
Published: April 2018

WebRTC (Web Real-Time Communication) is a technology that enables browser-to-browser communication. Therefore, a signalling mechanism must be negotiated to create a connection between peers. The main aim of this paper is to create and implement a WebRTC hybrid signalling mechanism named (WebNSM) for video conferencing based on the Socket.io (API) mechanism and Firefox. WebNSM was designed over a combination of different topologies, such as simplex, star and mesh. Therefore it offers several communications at the same time as one-to-one (unidirectional/bidirectional), one-to-many (unidirectional) and many-to-many (bi-directional) without any downloading or installation. In this paper, WebRTC video conferencing was accomplished via LAN and WAN networks, including the evaluation of resources in WebRTC like bandwidth consumption, CPU performance, memory usage, Quality of Experience (QoE) and maximum links and RTPs calculation. This paper presents a novel signalling mechanism among different users, devices and networks to offer multi-party video conferencing using various topologies at the same time, as well as other typical features such as using the same server, determining room initiator, keeping the communication active even if the initiator or another peer leaves, etc. This scenario highlights the limitations of resources and the use of different topologies for WebRTC video conferencing.
Modeling and Simulation of Biaxial Strained P-MOSFETs: Application to a Single and Dual Channel Heterostructure
Authors: Taberkit Amine Mohammed , Guen-Bouazza Ahlam , Bouazza Benyounes
Published: April 2018

The objectives of this work are focused on the application of strained silicon on MOSFET transistor. To do this, impact and benefits obtained with the use of strained silicon technology on p-channel MOSFETs are presented. This research attempt to create conventional and two-strained silicon MOSFETs fabricated from the use of TCAD, which is a simulation tool from Silvaco. In our research, two-dimensional simulation of conventional MOSFET, biaxial strained PMOSFET and dual channel strained P-MOSFET has been achieved to extract their characteristics. ATHENA and ATLAS have been used to simulate the process and validate the electronic characteristics. Our results allow showing improvements obtained by comparing the three structures and their characteristics. The maximum of carrier mobility improvement is achieved with percentage of 35.29 % and 70.59 % respectively, by result an improvement in drive current with percentage of 36.54 % and 236.71 %, and reduction of leakage current with percentage of 59.45 % and 82.75 %, the threshold voltage is also enhaced with percentage of: 60 % and 61.4%. Our simulation results highlight the importance of incorporating strain technology in MOSFET transistors.
Gauss-Seidel Method based Voltage Security Analysis of Distribution System
Authors: Deb Gagari , Chakraborty Kabir
Published: April 2018

Complexity of modern power network and Large disturbance results voltage collapse. So, voltage security analysis is important in power system. Indicators are helpful in voltage stability analysis, as they give information about the state of the system. In this paper a new indicator namely Distribution System Stability Indicator (DSSI) has been formulated using the information of Phasor Measurement Unit (PMU).The proposed indicator (DSSI) is tested on standard IEEE 33 bus radial distribution system. The suggested indicator is also applicable to the equivalent two bus system of a multi-bus power system. The proposed indicator is calculated for different contingent conditions at different system load configurations. The result of DSSI is verified with the standard indicator (VSI) which proves applicability of the proposed indicator. The bus voltages of all the buses at base loading and at maximum loading are evaluated for base data and for tripping of most critical line.
Adaptive Fuzzy PI Current Control of Grid Interact PV Inverter
Authors: Ravi Sankar R.S. , Kumar S.V. Jayaram , Rao G. Mohan
Published: April 2018

Now a day‟s, Photo Voltaic (PV) power generation rapidly increasing. This power generation highly depending on the temperature and irradiation. When this power interface with grid through the voltage source inverter with PI controller. Its gains should be updated due to the parametric changes for the better performance. In This Work Fuzzy Controller updates the gains of the proportional integral (PI)s Controller under variable parametric conditions. the gaines of the PI Controller are updated based on the error current and change in error current through the fuzzy controller. The error current in direct and quadrature frame are the Inputs to the PI controller. The PI Controller generates the reference voltage to the pulse width modulation technique. Here reference voltage is compared with the carrier signal to generate the pulses to the 3-Ph Inverter connected to the grid. This controller has given well dynamic response with less steady state error and also given The less THD of the grid current compared to the PI and Fuzzy controller.It Is implemented and verified in MATLAB Simulink.
Optimized Kernel Extreme Learning Machine for Myoelectric Pattern Recognition
Authors: Anam Khairul , Al-Jumaily Adel
Published: April 2018

Myoelectric pattern recognition (MPR) is used to detect user’s intention to achieve a smooth interaction between human and machine. The performance of MPR is influenced by the features extracted and the classifier employed. A kernel extreme learning machine especially radial basis function extreme learning machine (RBF-ELM) has emerged as one of the potential classifiers for MPR. However, RBF-ELM should be optimized to work efficiently. This paper proposed an optimization of RBF-ELM parameters using hybridization of particle swarm optimization (PSO) and a wavelet function. These proposed systems are employed to classify finger movements on the amputees and able-bodied subjects using electromyography signals. The experimental results show that the accuracy of the optimized RBF-ELM is 95.71% and 94.27% in the healthy subjects and the amputees, respectively. Meanwhile, the optimization using PSO only attained the average accuracy of 95.53 %, and 92.55 %, on the healthy subjects and the amputees, respectively. The experimental results also show that SW-RBF-ELM achieved the accuracy that is better than other well-known classifiers such as support vector machine (SVM), linear discriminant analysis (LDA) and k-nearest neighbor (kNN).
Emotion Recognition from Facial Expression Based on Fiducial Points Detection and using Neural Network
Authors: Salmam Fatima Zahra , Madani Abdellah , Kissi Mohamed
Published: April 2018

The importance of emotion recognition lies in the role that emotions play in our everyday lives. Emotions have a strong relationship with our behavior. Thence, automatic emotion recognition, is to equip the machine of this human ability to analyze, and to understand the human emotional state, in order to anticipate his intentions from facial expression. In this paper, a new approach is proposed to enhance accuracy of emotion recognition from facial expression, which is based on input features deducted only from fiducial points. The proposed approach consists firstly on extracting 1176 dynamic features from image sequences that represent the proportions of euclidean distances between facial fiducial points in the first frame, and faicial fiducial points in the last frame. Secondly, a feature selection method is used to select only the most relevant features from them. Finally, the selected features are presented to a Neural Network (NN) classifier to classify facial expression input into emotion. The proposed approach has achieved an emotion recognition accuracy of 99% on the CK+ database, 84.7% on the Oulu-CASIA VIS database, and 93.8% on the JAFFE database.
Feature Selection Mammogram based on Breast Cancer Mining
Authors: Uyun Shofwatul , Choridah Lina
Published: April 2018

The very dense breast of mammogram image makes the Radiologists often have difficulties in interpreting the mammography objectively and accurately. One of the key success factors of computer-aided diagnosis (CADx) system is the use of the right features. Therefore, this research emphasizes on the feature selection process by performing the data mining on the results of mammogram image feature extraction. There are two algorithms used to perform the mining, the decision tree and the rule induction. Furthermore, the selected features produced by the algorithms are tested using classification algorithms: k-nearest neighbors, decision tree, and naive bayesian with the scheme of 10-fold cross validation using stratified sampling way. There are five descriptors that are the best features and have contributed in determining the classification of benign and malignant lesions as follows: slice, integrated density, area fraction, model gray value, and center of mass. The best classification results based on the five features are generated by the decision tree algorithm with accuracy, sensitivity, specificity, FPR, and TPR of 93.18%; 87.5%; 3.89%; 6.33% and 92.11% respectively.
Evaluation of Energy Consumption using Receiver–Centric MAC Protocol in Wireless Sensor Networks
Authors: K S Ananda Kumar , R Balakrishna
Published: April 2018

At present day’s wireless sensor networks, obtain a lot consideration to researchers. Maximum number of sensor nodes are scattered that can communicate with all others. Reliable data communication and energy consumption are the mainly significant parameters that are required in wireless sensor networks. Many of MAC protocols have been planned to improve the efficiency more by enhancing the throughput and energy consumption. The majority of the presented medium access control protocols to only make available, reliable data delivery or energy efficiency does not offer together at the same time. In this research work the author proposes a novel approach based on Receiver Centric-MAC is implemented using NS2 simulator. Here, the author focuses on the following parametric measures like - energy consumption, reliability and bandwidth. RC-MAC provides high bandwidth without decreasing energy efficiency. The results show that 0.12% of less energy consumption, reliability improved by 20.86% and bandwidth increased by 27.32% of RC-MAC compared with MAC IEEE 802.11.
Design and Implementation Multimedia Learning Success for Vocational Schools
Authors: Hakim Fitro Nur , Solechan Achmad
Published: April 2018

This research aims to design a web-based multimedia applications, interactive learning, in order to improve the learning outcomes of students, especially students of Vocational High School. Multimedia Learning has been designed with some additional content in the form of applications: decision support system for multimedia usage based on Model of Multimedia Learning Success. The population obtained from respondents vocational school in Central Java, which is already implementing multimedia learning. The method used is qualitative analysis in the form of: the development of multimedia learning integrated with decision support systems. Design and implementation of multimedia learning success system that is abbreviated "Sikemuning". Sikemuning can be used to measure or provide guidance for teachers in the use of multimedia. Interviews with several respondents teachers from vocational schools in Central Java showed that: the system success multimedia learning developed in this study can be used as feedback to assess the success and effectiveness of the implementation of learning activities, multimedia learning can improve the performance and intelligence of vocational school students.
Framework for Contextual Outlier Identification using Multivariate Analysis approach and Unsupervised Learning
Authors: G. Madhu Chandra , Reddy G. M. Sreerama
Published: April 2018

Majority of the existing commercial application for video surveillance system only captures the event frames where the accuracy level of captures is too poor. We reviewed the existing system to find that at present there is no such research technique that offers contextual-based scene identification of outliers. Therefore, we presented a framework that uses unsupervised learning approach to perform precise identification of outliers for a given video frames concerning the contextual information of the scene. The proposed system uses matrix decomposition method using multivariate analysis to maintain an equilibrium better faster response time and higher accuracy of the abnormal event/object detection as an outlier. Using an analytical methodology, the proposed system blocking operation followed by sparsity to perform detection. The study outcome shows that proposed system offers an increasing level of accuracy in contrast to the existing system with faster response time.
Analysis of Inductance Gradient and Current Density Distribution Over Different Cross-section of Rails
Authors: Saravana Kumar M. N. , Murugan R.
Published: April 2018

In a rail gun system the armature accelerated due to the Lorentz force caused by the current which is diffused in to the rails. The entire system depends on the inductance gradient of the rail which is directly connected to the accelerating performance and efficiency of railgun. Hence, the exact analysis of inductance gradient is extremely significant for the railgun design. Since short duration of current pulse is applied to the rails determination of inductance gradient is very difficult. The inductance gradient varies with the geometric dimensions of the rails and armature. And it can be calculated with analytical method and numerical methods. In this paper inductance gradient of the rail has been computed and compared with the different rail cross-sectional models using Ansoft Maxwell Eddy current solver uses finite element technique to calculate the field distribution in a space. The current density, magnetic flux density, repulsive force acting on the rails also computed to analyze the performance of rail gun.
Experimental Validation of Shared Inverter Topology to Drive Multi AC-Loads
Authors: Albatran Saher , Smadi Issam A. , Alsyouf Mohammad A.
Published: April 2018

Many reduced-switch-count (RSC) inverter topologies have been proposed in the literature. As the number of switches required to produce a set of voltages in RSC inverters are less than that in conventional inverter, as a result utilizing RSC inverters in a certain system reduces its size and cost. In this paper, a novel RSC shared inverter topology consisting of fifteen switches and capable of driving four three-phase AC-loads independently is proposed and experimentally verified. A carrier-based pulse width modulation (PWM) technique that employs the zero-sequence-signal injection principle is developed to drive the proposed inverter along with adequate DC voltage bus utilization between the shared loads for common frequency (CF) as well as different frequency (DF) modes. The structure and the principle of operation of the proposed inverter are introduced and intensively verified using simulation and field-programmable-gate-array (FPGA)-in-the-loop simulation under linear and nonlinear loads. Then, Inverter prototype was built and the proposed inverter has been verified experimentally. The experimental results verify the applicability of the proposed inverter and the employed PWM.
Phase Measurement Units based FACT’s Devices for the Improvement of Power Systems Networks Controllability
Authors: Hussein Husham Idan , Salman Ghassan Abdullah , Hasan Mohammed Saadi
Published: April 2018

This paper describes the importance of FACTS devices; it presents the outcome of the study of its reflectance on the performance of power system networks. It seeks to increase and guarantee the fact and accuracy of response systems under disturbance conditions when the phase measurement units are introduced as Real-Time Measurement (RTM) stations. This paper also describes the importance of FACTS devices. The combination of FACTS devices and PMUs is presented to increase the controllability performance of power systems. This paper demonstrates how PMUs measure voltage, current and their angles. It provides, through a communication link, a Phase Angle Data Concentrator (PDC) to make an appropriate decision to correct the power system state using the FACTS device (TCSC). We utilized the Graph-Theoretic Algorithm to optimize the number and location of PMUs. The technique proposed was tested on the Iraqi National Super Grid’s 24bus network, Diyala City’s regional 10bus network and the 14bus IEEE standard test system. The MATLAB/PSAT package was utilized for the simulation of results. It is evident that our proposed algorithm and technique achieved the purpose of this paper as confirmed by the level of accuracy of the results obtained from most of the cases tested.
Simulation and Modeling of Silicon Based Single Electron Transistor
Authors: Mehdy Malik Ashter , Graziano Mariagrazia , Piccinini Gianluca
Published: April 2018

In this work, we simulated and modeled silicon quantum dot based single electron transistor (SET). We simulated the device using non-equilibrium Green’s function (NEGF) formalism in transport direction coupled with Schrodinger equation in transverse directions. The characteristics of SET such as Coulomb blockade and Coulomb diamonds were observed. We also present a new efficient model to calculate the current voltage (IV) characteristics of the SET. The IV characteristic achieved from the model are very similar to those from simulations both in shape and magnitude. The proposed model is capable of reproducing the Coulomb diamond diagram in good agreement with the simulations. The model, which is based on transmission spectrum, is simple, efficient and provides insights on the physics of the device. The transmission spectrum at equilibrium is achieved from simulations and given as input to the model. The model then calculates the evolved transmission spectra at non-equilibrium conditions and evaluates the current using Landauers formula.
Pesquisas em design, gestão e tecnologia de têxtil e moda: 2º semestre de 2017
Authors:   Universidade de São Paulo. Escola de Artes, Ciências e Humanidades, Italiano Isabel Cristina , Marcicano João Paulo Pereira ,   Universidade de São Paulo. Escola de Artes, Ciências e Humanidades, Ramos Júlia Baruque ,   Universidade de São Paulo. Escola de Artes, Ciências e Humanidades, Held Maria Sílvia Barros de ,   Universidade de São Paulo. Escola de Artes, Ciências e Humanidades, Sanches Regina Aparecida ,   Universidade de São Paulo. Escola de Artes, Ciências e Humanidades
Published: April 2018

Este volume faz parte da coleção “Pesquisas em Design, Gestão e Tecnologia de Têxtil e Moda”, referente ao 2º semestre de 2017. A coleção é referencial para integrar empresas e academia, divulgando os conteúdos e estudos dos programas de pós-graduação das universidades paulistas, com o objetivo de proporcionar à sociedade conhecimento dos melhores trabalhos acadêmicos realizados na área. Dessa maneira, propicia maior integração e amplia a sinergia entre academia e mundo empresarial. A proposta da coleção é contribuir para o desenvolvimento científico, tecnológico, social, cultural e artístico em Têxtil e Moda, prevendo métodos e abordagens interdisciplinares e inovadores, com potencial de utilização no âmbito acadêmico, da pesquisa, como fora deles.
Comunicação e as aventuras estranhas: ensaios sobre arte, cinema, filosofia e comunicação
Authors:   Universidade de São Paulo. Escola de Comunicações e Artes, Marcondes Filho Ciro
Published: April 2018

Esse livro se ocupa com a percepção, com a forma como percebemos o mundo, especialmente a comunicação sensível, do cinema, da arte, e como isso se instala dentro de nós. A obra é fruto de uma pesquisa sobre o processo comunicacional que foi buscar em importantes autores da filosofia as noções estruturantes desse fenômeno. A proposta do autor é estudar a comunicação sob nova ótica, construir um saber comunicacional que ainda não existe, pois poucos se debruçam, de fato, na investigação do que acontece no momento comunicacional, no sentido de estudar quais processos ocorrem quando estamos diante de um filme, de um vídeo da internet ou mesmo de um livro, o que, hoje, não é o objeto de investigação nas universidades, grupos de pesquisa, encontros acadêmicos. Essa vitalidade, essa energia, essa força interna de uma obra é aquilo que é capaz de tirar-nos do sério, capaz de fazer-nos sair dos trilhos, trepidar nossas certezas.
The invasive aphid Pterochloroides persicae (Cholodkovsky, 1899) (Hemiptera: Aphidoidea: Lachninae) recorded on important fruit trees in Kashmir Valley, India
Authors: Mahendiran Govindasamy , Akbar Shahid Ali , Dar Mudasir Ahmad
Published: April 2018

Pterochloroides persicae (Cholodkovsky, 1899) is reported here for the first time from the Kashmir Valley. The aphid is seen to infest almond, peach, plum orchards in the region.  Monitoring of the pest was carried out in the peach and almond fields of the Central Institute of Temperate Horticulture (CITH) during the years 2014–2016. Seasonality and bio-rational management practices of the pest are discussed.
Comparative cross-sectional survey on gastrointestinal parasites of captive, semi-captive, and wild Elephants of Sri Lanka
Authors: Abeysekara Nirupama , Rajapakse R.P.V. Jayanthe , Rajakaruna R. S.
Published: April 2018

Parasites can influence the fitness of individuals particularly of small populations of endangered species.  An island-wide, cross sectional, coprological survey was carried out from 03 January to 30 October 2015, to determine the gastrointestinal (GI) parasites of the Sri Lankan Elephant Elephas maximus maximus.  Fresh fecal samples from wild, captive and semi-captive elephants were collected and analyzed using a modified salt floatation, Sheather’s sucrose floatation, direct iodine smears, and sedimentation methods. Species identification was done morphologically. Intensity of parasite infections was determined using McMaster technique.  A total of 85 fecal samples (wild = 45, semi-captive = 20, captive = 20) were analysed; 58 (68.2%) samples were positive for GI parasites.  Overall, helminth infections (60.0%) were more common than protozoan (37.6%) infections (Chi square test, χ2 = 8.499; p < 0.001). In the captive elephants, however, more protozoan infections were observed than helminthes, which could be due to anthelminthic treatment.  A significantly higher prevalence of infection was observed in the wild elephants (93.3%) compared to semi-captive elephants (55.0%; χ2 = 13.516; p < 0.001) and captive elephants (25.0%; χ2 =32.289; p < 0.001) but there was no significant difference in the prevalence between captive and semi-captive elephants (χ2 =3.750; p = 0.053).  Ten types of GI parasites were observed, nine of which were recorded in wild elephants.  Among them the most common infection was strongyles (34.1%) with high intensity (440.1±295.2 EPG).  Semi-captive elephants harbored five types of GI parasites, while captive elephants had only three types.  One captive elephant at the Temple of the Tooth was infected with the tapeworm Anoplocephala sp. at low intensity of 50 EPG.  Some of the GI parasites recorded are highly pathogenic while others are incidental.
New records of bats (Mammalia: Chiroptera) from Assam, northeastern India with a distribution list of bat fauna of the state
Authors: Boro Ananda Ram , Saikia Prasanta Kumar , Saikia Uttam
Published: April 2018

Specimen based records of two vespertilionid bats namely Pipistrellus ceylonicus and Tylonycteris fulvida are provided for the first time from the state of Assam in northeastern India.  Based on review of existing literature and examinations of museum specimens, we also furnish a checklist of the bat fauna of Assam with distribution, which includes 32 species in 17 genera.
Corrigendum - Butterfly host plant Monograph
Authors: - -
Published: April 2018

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Hot Balloon Versus Cryoballoon Ablation for Atrial Fibrillation
Authors: Nagashima Koichi , Okumura Yasuo , Watanabe Ichiro , Nakahara Shiro , Hori Yuichi , Iso Kazuki , Watanabe Ryuta , Arai Masaru , Wakamatsu Yuji , Kurokawa Sayaka , Mano Hiroaki , Nakai Toshiko , Ohkubo Kimie , Hirayama Atsushi
Published: April 2018

Background:

Hot balloon ablation (HBA) and cryoballoon ablation (CBA) were developed to simplify ablation for atrial fibrillation. Because the lesion characteristics and efficacy of these balloon modalities have not been clarified, we compared lesion characteristics and outcomes of HBA and CBA.

Methods:

Of 165 consecutive patients who underwent initial catheter ablation for atrial fibrillation, 74 propensity scorematched (37 HBA and 37 CBA) patients were included in our study.

RESULTS:

Patients’ clinical characteristics, including age, sex, body mass index, atrial fibrillation subtype, CHA
2
DS
2
-VASc score, and left atrial dimension, were similar between the 2 groups. Touch-up radiofrequency ablation was required for residual/dormant pulmonary vein conduction in 52% of the patients with HBA versus 24% of the patients with CBA (
P
=0.02) and often in the anterior aspect of the left superior pulmonary vein after HBA (41%) versus the inferior aspect of the inferior pulmonary veins after CBA (22%). HBA lesions were smaller than CBA lesions (23.8±7.9 versus 33.5±14.5 cm
2
;
P
=0.0007). Similar results were observed when lesions in each pulmonary vein were compared between groups. Twentyfour hours after the procedure, serum levels of the cardiac biomarkers, including troponin-T, creatine kinase, and creatine kinase-MB, were higher in the HBA group than in the CBA group. Atrial fibrillation recurrence did not differ between the groups within 6 (3% versus 11%;
P
=0.36) or 12 months (16% versus 16%;
P
=1.00).

Conclusions:

Although HBA lesions appear to be smaller than CBA lesions, middle-term outcomes are not statistically different between these balloon modalities.
Opportunities and Challenges in Cardiovascular Pharmacogenomics
Authors: Roden Dan M. , Van Driest Sara L. , Wells Quinn S. , Mosley Jonathan D. , Denny Joshua C. , Peterson Josh F.
Published: April 2018

This review will provide an overview of the principles of pharmacogenomics from basic discovery to implementation, encompassing application of tools of contemporary genome science to the field (including areas of apparent divergence from disease-based genomics), a summary of lessons learned from the extensively studied drugs clopidogrel and warfarin, the current status of implementing pharmacogenetic testing in practice, the role of genomics and related tools in the drug development process, and a summary of future opportunities and challenges.
Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome
Authors: Fert-Bober Justyna , Murray Christopher I. , Parker Sarah J. , Van Eyk Jennifer E.
Published: April 2018

There is an exponential increase in biological complexity as initial gene transcripts are spliced, translated into amino acid sequence, and post-translationally modified. Each protein can exist as multiple chemical or sequence-specific proteoforms, and each has the potential to be a critical mediator of a physiological or pathophysiological signaling cascade. Here, we provide an overview of how different proteoforms come about in biological systems and how they are most commonly measured using mass spectrometry-based proteomics and bioinformatics. Our goal is to present this information at a level accessible to every scientist interested in mass spectrometry and its application to proteome profiling. We will specifically discuss recent data linking various protein post-translational modifications to cardiovascular disease and conclude with a discussion for enablement and democratization of proteomics across the cardiovascular and scientific community. The aim is to inform and inspire the readership to explore a larger breadth of proteoform, particularity post-translational modifications, related to their particular areas of expertise in cardiovascular physiology.