bluuebunny/crossref_metadata_2025 huggingface dataset:
A Survey of Active Object Languages
Authors: Boer Frank De , Serbanescu Vlad , Hähnle Reiner , Henrio Ludovic , Rochas Justine , Din Crystal Chang , Johnsen Einar Broch , Sirjani Marjan , Khamespanah Ehsan , Fernandez-Reyes Kiko , Yang Albert Mingkun
Published: October 2017

To program parallel systems efficiently and easily, a wide range of programming models have been proposed, each with different choices concerning synchronization and communication between parallel entities. Among them, the actor model is based on loosely coupled parallel entities that communicate by means of asynchronous messages and mailboxes. Some actor languages provide a strong integration with object-oriented concepts; these are often called active object languages. This article reviews four major actor and active object languages and compares them according to carefully chosen dimensions that cover central aspects of the programming paradigms and their implementation.
Technology Acceptance and User Experience
Authors: Hornbæk Kasper , Hertzum Morten
Published: October 2017

Understanding the mechanisms that shape the adoption and use of information technology is central to human--computer interaction. Two accounts are particularly vocal about these mechanisms, namely the technology acceptance model (TAM) and work on user experience (UX) models. In this study, we review 37 papers in the overlap between TAM and UX models to explore the experiential component of human--computer interactions. The models provide rich insights about
what
constructs influence the experiential component of human--computer interactions and about
how
these constructs are related. For example, the effect of perceived enjoyment on attitude is stronger than those of perceived usefulness and perceived ease of use. It is less clear
why
the relations exist and
under which conditions
the models apply. We discuss four of the main theories used in reasoning about the experiential component and, for example, point to the near absence of psychological needs and negative emotions in the models. In addition, most of the reviewed studies are not tied to specific use episodes, thereby bypassing tasks as an explanatory variable and undermining the accurate measurement of experiences, which are susceptible to moment-to-moment changes. We end by summarizing the implications of our review for future research.
Recovering from Biased Distribution of Faulty Cells in Memory by Reorganizing Replacement Regions through Universal Hashing
Authors: Jun Jaeyung , Choi Kyu Hyun , Kim Hokwon , Yu Sang Ho , Kim Seon Wook , Han Youngsun
Published: October 2017

Recently, scaling down dynamic random access memory (DRAM) has become more of a challenge, with more faults than before and a significant degradation in yield. To improve the yield in DRAM, a redundancy repair technique with intra-subarray replacement has been extensively employed to replace faulty elements (i.e., rows or columns with defective cells) with spare elements in each subarray. Unfortunately, such technique cannot efficiently handle a biased distribution of faulty cells because each subarray has a fixed number of spare elements. In this article, we propose a novel redundancy repair technique that uses a hashing method to solve this problem. Our hashing technique reorganizes replacement regions by changing the way in which their replacement information is referred, thus making faulty cells become evenly distributed to the regions. We also propose a fast repair algorithm to find the best hash function among all possible candidates. Even if our approach requires little hardware overhead, it significantly improves the yield when compared with conventional redundancy techniques. In particular, the results of our experiment show that our technique saves spare elements by about 57% and 55% for a yield of 99% at BER 1e-6 and 5e-7, respectively.
Computational Support for Functionality Selection in Interaction Design
Authors: Oulasvirta Antti , Feit Anna , Lähteenlahti Perttu , Karrenbauer Andreas
Published: October 2017

Designing interactive technology entails several objectives, one of which is identifying and selecting appropriate functionality. Given candidate functionalities such as “print,” “bookmark,” and “share,” a designer has to choose which functionalities to include and which to leave out. Such choices critically affect the acceptability, productivity, usability, and experience of the design. However, designers may overlook reasonable designs because there is an exponential number of functionality sets and multiple factors to consider. This article is the first to formally define this problem and propose an algorithmic method to support designers to explore alternative functionality sets in early stage design. Based on interviews of professional designers, we mathematically define the task of identifying functionality sets that strike the best balance among four objectives: usefulness, satisfaction, ease of use, and profitability. We develop an integer linear programming solution that can efficiently solve very large instances (set size over 1,300) on a regular computer. Further, we build on techniques of robust optimization to search for diverse and surprising functionality designs. Empirical results from a controlled study and field deployment are encouraging. Most designers rated computationally created sets to be of the comparable or superior quality than their own. Designers reported gaining better understanding of available functionalities and the design space.
Revisiting Routability-Driven Placement for Analog and Mixed-Signal Circuits
Authors: Zhou Hongxia , Sham Chiu-Wing , Yao Hailong
Published: October 2017

The exponential increase in scale and complexity of very large-scale integrated circuits (VLSIs) poses a great challenge to current electronic design automation (EDA) techniques. As an essential step in the whole EDA layout synthesis, placement is attracting more and more attention, especially for analog and mixed-signal integrated circuits. Recently, experts in this field have observed a variety of analog-specific layout constraints to obtain high-performance placement solutions. These constraints include symmetry, alignment, boundary, preplace, abutment, range and maximum separation, and routability of the placement solutions. In this article, the effectiveness of slicing and nonslicing representation is investigated. Additionally, the technique of congestion-based virtual sizing is proposed. Experimental results show that the routability can be improved significantly by applying congestion-based virtual sizing. Results also show that the slicing representation can improve the regularity of the placement solutions and hence improve the routability with higher efficiency compared to the nonslicing representation.
Adding Approximate Counters
Authors: Steele Jr. Guy L. , Tristan Jean-Baptiste
Published: October 2017

We describe a general framework for adding the values of two approximate counters to produce a new approximate counter value whose expected estimated value is equal to the sum of the expected estimated values of the given approximate counters. (To the best of our knowledge, this is the first published description of any algorithm for adding two approximate counters.) We then work out implementation details for five different kinds of approximate counter and provide optimized pseudocode. For three of them, we present proofs that the variance of a counter value produced by adding two counter values in this way is bounded, and in fact is no worse, or not much worse, than the variance of the value of a single counter to which the same total number of increment operations have been applied. Addition of approximate counters is useful in massively parallel divide-and-conquer algorithms that use a distributed representation for large arrays of counters. We describe two machine-learning algorithms for topic modeling that use millions of integer counters and confirm that replacing the integer counters with approximate counters is effective, speeding up a GPU-based implementation by over 65% and a CPU-based implementation by nearly 50%, as well as reducing memory requirements, without degrading their statistical effectiveness.
Standards column
Authors: Pinheiro Antonio , Timmerer Christian
Published: October 2017

ISO/IEC JTC 1/SC 29 area of work comprises the standardization of coded representation of audio, picture, multimedia and hypermedia information and sets of compression and control functions for use with such information. SC29 basically hosts two working groups responsible for the development of international standards for the compression, decompression, processing, and coded representation of media content, in order to satisfy a wide variety of applications", specifically WG1 targeting "digital still pictures" - also known as JPEG - and WG11 targeting "moving pictures, audio, and their combination" - also known as MPEG. The earlier SC29 standards, namely JPEG, MPEG-1 and MPEG-2, received the technology & engineering Emmy award in 1995-96.

The standards columns within ACM SIGMM Records provide timely updates about the most recent developments within JPEG and MPEG respectively. The JPEG column is edited by Antonio Pinheiro and the MPEG column is edited by Christian Timmerer. The editors and an overview of recent JPEG and MPEG achievements as well as future plans are highlighted in this article.
Datasets and benchmarks column
Authors: Thomee Bart , Larson Martha
Published: October 2017

Datasets are critical for research and development as, rather obviously, data is required for performing experiments, validating hypotheses, analyzing designs, and building applications. Over the years a plurality of multimedia collections have been put together, which can range from the one-off instances that have been exclusively created for supporting the work presented in a single paper or demo to those that have been created with multiple related or separate endeavors in mind. Unfortunately, the collected data is often not made publicly available. In some cases, it may not be possible to make a public release due to the proprietary or sensitive nature of the data, but other forces are also at work. For example, one might be reluctant to share data freely, as it has a value from the often substantial amount of time, effort, and money that was invested in collecting it.
Hello multidisciplinary column!
Authors: Liem Cynthia C. S. , Huber Jochen
Published: October 2017

There is 'multi' in multimedia. Every day, an increasing amount of extremely diverse multimedia content has meaning and purpose to an increasing amount of extremely diverse human users, under extremely diverse use cases. As multimedia professionals, we work in an extremely diverse set of focus areas to enable this, ranging from systems aspects to user factors, which each have their own methodologies and related communities outside of the multimedia field.
Open source column
Authors: Bertini Marco , Lux Mathias
Published: October 2017

"Open source software is software that can be freely accessed, used, changed, and shared (in modified or unmodified form) by anyone" (cp. https://opensource.org/osd). So open source software (OSS) is actually something that one or more people can work on, improve it, refine it, change it, adapt it and share or use it. Why would anyone support such a feature? Examples from the industry show that this is a valid approach for many software products. Prominent open source projects are in use worldwide on an everyday basis, including the Apache Web Server, the Linux Kernel, the GNU Compiler Collection, Samba, OpenSSL, and MySQL. For industry this means not only re-using components, and libraries, but also being able to fix them, adapt them to their needs and hire people who are already familiar with the tools. Business models based on open source software focus more on services than products and ensure the longevity of the software as even if companies vanish, the open source software is here to stay.
Introduction to the opinion column
Authors: Alameda-Pineda Xavier , Redi Miriam
Published: October 2017

Welcome to the SIGMM Community Discussion Column! In this very first edition we would like to introduce the column to the community, its objectives and main operative characteristics.
@sigmm on #SocialMedia
Authors: Murray Niall , Giro-i-Nieto Xavier , Xie Lexing , Montagud Mario
Published: October 2017

The new SIGMM Records team aims to extend the reach of relevant SIGMM-related news and events. It will also provide forums to stimulate discussion, interaction and collaboration between members of our community.
JPEG column
Authors: Pinheiro Antonio
Published: October 2017

The 75th JPEG meeting was held at National Standards Australia in Sydney, Australia, from 26 to 31 March. Multiples activities have been ensued, pursuing the development of new standards that meet the current requirements and challenges on imaging technology. JPEG is continuously trying to provide new reliable solutions for different image applications.
Regulating microRNA expression: at the heart of diabetes mellitus and the mitochondrion
Authors: Hathaway Quincy A. , Pinti Mark V. , Durr Andrya J. , Waris Shanawar , Shepherd Danielle L. , Hollander John M.
Published: October 2017

Type 2 diabetes mellitus is a major risk factor for cardiovascular disease and mortality. Uncontrolled type 2 diabetes mellitus results in a systemic milieu of increased circulating glucose and fatty acids. The development of insulin resistance in cardiac tissue decreases cellular glucose import and enhances mitochondrial fatty acid uptake. While triacylglycerol and cytotoxic lipid species begin to accumulate in the cardiomyocyte, the energy substrate utilization ratio of free fatty acids to glucose changes to almost entirely free fatty acids. Accumulating evidence suggests a role of miRNA in mediating this metabolic transition. Energy substrate metabolism, apoptosis, and the production and response to excess reactive oxygen species are regulated by miRNA expression. The current momentum for understanding the dynamics of miRNA expression is limited by a lack of understanding of how miRNA expression is controlled. While miRNAs are important regulators in both normal and pathological states, an additional layer of complexity is added when regulation of miRNA regulators is considered. miRNA expression is known to be regulated through a number of mechanisms, which include, but are not limited to, epigenetics, exosomal transport, processing, and posttranscriptional sequestration. The purpose of this review is to outline how mitochondrial processes are regulated by miRNAs in the diabetic heart. Furthermore, we will highlight the regulatory mechanisms, such as epigenetics, exosomal transport, miRNA processing, and posttranslational sequestration, that participate as regulators of miRNA expression. Additionally, current and future treatment strategies targeting dysfunctional mitochondrial processes in the diseased myocardium, as well as emerging miRNA-based therapies, will be summarized.
Evaluation of a SPLUNC1-derived peptide for the treatment of cystic fibrosis lung disease
Authors: Terryah Shawn T. , Fellner Robert C. , Ahmad Saira , Moore Patrick J. , Reidel Boris , Sesma Juliana I. , Kim Christine S. , Garland Alaina L. , Scott David W. , Sabater Juan R. , Carpenter Jerome , Randell Scott H. , Kesimer Mehmet , Abraham William M. , Arendshorst William J. , Tarran Robert
Published: October 2017

In cystic fibrosis (CF) lungs, epithelial Na+channel (ENaC) hyperactivity causes a reduction in airway surface liquid volume, leading to decreased mucocilliary clearance, chronic bacterial infection, and lung damage. Inhibition of ENaC is an attractive therapeutic option. However, ENaC antagonists have failed clinically because of off-target effects in the kidney. The S18 peptide is a naturally occurring short palate lung and nasal epithelial clone 1 (SPLUNC1)-derived ENaC antagonist that restores airway surface liquid height for up to 24 h in CF human bronchial epithelial cultures. However, its efficacy and safety in vivo are unknown. To interrogate the potential clinical efficacy of S18, we assessed its safety and efficacy using human airway cultures and animal models. S18-mucus interactions were tested using superresolution microscopy, quartz crystal microbalance with dissipation, and confocal microscopy. Human and murine airway cultures were used to measure airway surface liquid height. Off-target effects were assessed in conscious mice and anesthetized rats. Morbidity and mortality were assessed in the β-ENaC-transgenic (Tg) mouse model. Restoration of normal mucus clearance was measured in cystic fibrosis transmembrane conductance regulator inhibitor 172 [CFTR(inh)-172]-challenged sheep. We found that S18 does not interact with mucus and rapidly penetrated dehydrated CF mucus. Compared with amiloride, an early generation ENaC antagonist, S18 displayed a superior ability to slow airway surface liquid absorption, reverse CFTR(inh)-172-induced reduction of mucus transport, and reduce morbidity and mortality in the β-ENaC-Tg mouse, all without inducing any detectable signs of renal toxicity. These data suggest that S18 is the first naturally occurring ENaC antagonist to show improved preclinical efficacy in animal models of CF with no signs of renal toxicity.
Active exercise on immobilization-induced contractured rat knees develops arthrogenic joint contracture with pathological changes
Authors: Kaneguchi Akinori , Ozawa Junya , Minamimoto Kengo , Yamaoka Kaoru
Published: October 2017

This study investigated the effects of treadmill walking during remobilization on range of motion (ROM) and histopathology in rat knee joints, which were immobilized for 3 wk in a flexed position. After fixator removal, rats were divided into a no-intervention (RM) group and a group forced to walk on a treadmill daily at 12 m/min for 60 min (WALK group). Passive knee extension ROMs were measured before (m-ROM) and after (a-ROM) knee flexor myotomy on the first and last day of a 7-day remobilization period, with m-ROM mainly reflecting myogenic factors and a-ROM reflecting arthrogenic factors. Knee joints were histologically analyzed and gene expression of inflammatory or fibrosis-related mediators in the posterior joint capsule were examined. m-ROM and a-ROM restrictions were established after immobilization. m-ROM significantly increased following the remobilization period both in RM and WALK groups compared with that of immobilized (IM) group. Conversely, a-ROM decreased following the remobilization period in both RM and WALK groups compared with that of IM group. Importantly, a-ROM was smaller in the WALK group than the RM group. Remobilization without intervention induced inflammatory and fibrotic reactions in the posterior joint capsule after 1 and 7 days. Treadmill walking promoted these reactions and also increased the expression of fibrosis-related TGF-β1 and collagen type I and III genes. While free movement after immobilization improved myogenic contracture, arthrogenic contracture worsened. Treadmill walking further aggravated arthrogenic contracture through amplified inflammatory and fibrotic reactions. Thus active exercise immediately after immobilization may not improve immobilization-induced joint contracture.

NEW & NOTEWORTHY In clinical practice, it is widely accepted that facilitation of joint movements is effective in improving immobilization-induced joint contracture. However, whether active exercises improve arthrogenic contracture is not known. In this study, we revealed that treadmill walking further promoted remobilization-induced progression of arthrogenic contracture. To our knowledge, this is the first study demonstrating no favorable effect of active exercise on immobilization-induced arthrogenic contracture.
A Single-Stage Low-Power Double-Balanced Mixer Merged with LNA and VCO
Authors: Oh Nam-Jin
Published: October 2017

This paper proposes three types of single stage low-power RF front-end, called double-balanced LMVs, by merging LNA, mixer, and voltage-controlled oscillator (VCO) exploiting a series LC (SLC) network. The low intermediate frequency (IF) or baseband signal can be directly sensed at the drain nodes of the VCO switching transistors by adding a simple resistor-capacitor (RC) low-pass filter (LPF). By adopting a double-balanced mixer topology, the strong leakage of the local oscillator (LO) at the IF output is effectively suppressed. Using a 65 nm CMOS technology, the proposed double-balanced LMVs (DB-LMVs) are designed. Oscillating at around 2.4 GHz ISM band, the phase noise of the proposed three DB-LMVs is −111 dBc/Hz at 1 MHz offset frequency. The simulated voltage conversion gain is larger than 36 dB and the double-side band (DSB) noise figure (NF) is less than 7.7 dB. The DB-LMVs consume only 0.2 mW dc power from 1-V supply voltage.
Recognition of Tomato Late Blight by using DWT and Component Analysis
Authors: Sabrol Hiteshwari , Kumar Satish
Published: October 2017

Plant disease recognition concept is one of the successful and important applications of image processing and able to provide accurate and useful information to timely prediction and control of plant diseases. In the study, the wavelet based features computed from RGB images of late blight infected images and healthy images. The extracted features submitted to Principal Component Analysis (PCA), Kernel Principal Component Analysis (KPCA) and Independent Component Analysis performed (ICA) for reducing dimensions in feature data processing and classification. To recognize and classify late blight from healthy plant images are classified into two classes i.e.  late blight infected or healthy. The Euclidean Distance measure is used to compute the distance by these two classes of training and testing dataset for tomato late blight recognition and classification. Finally, the three-component analysis is compared for late blight recognition accuracy. The Kernel Principal Component Analysis (KPCA) yielded overall recognition accuracy with 96.4%.
Uncertain Systems Order Reduction by Aggregation Method
Authors: Gayatri Bogapurapu , Kumar Kalyana Kiran , Lakshmi Akella Venkata Santosh , Karteek Vyakaranam Sai
Published: October 2017

In the field of control engineering, approximating the higher-order system with its reduced model copes with more intricate problems. These complex problems are addressed due to the usage of computing technologies and advanced algorithms. Reduction techniques enable the system from higher-order to lower-order form retaining the properties of former even after reduction. This document renders a method for demotion of uncertain systems based on State Space Analysis. Numerical examples are illustrated to show the accuracy of the proposed method.
Novel High-Gain Narrowband Waveguide-Fed Filtenna using Genetic Algorithm
Authors: Ghorbani Mahdi , Ghorbaninejad Habib
Published: October 2017

Filtenna is an antenna with filtering feature. There are many ways to design a filtenna. In this paper, a high-gain narrowband waveguide-fed aperture filtenna has been proposed and designed. A patterned plane, which is designed using genetic algorithm has been used at the open end of the waveguide fed, mounted on a conducting ground plane. To design the patterned pattern, magnetic field integral equation of the structure has been derived, so it has been solved using method of moments. The proposed filtenna has been simulated with HFSS that confirms the results obtained by method of moments. Finally, an unprinted dielectric as a superstrate has been used to enhance the gain of the filtenna. The filtenna bandwidth is 1.76% (160 MHz)  which has the gain of 15.91 dB at the central frequency of 9.45 GHz.
Vehicular Ad Hoc Networks: Growth and Survey for Three Layers
Authors: Saad Aws , Rahem Abdalrazak Tareq , Hussein Ammar Jameel , Mohammed Abdullah Amer
Published: October 2017

A vehicular ad hoc network (VANET) is a mobile ad hoc network that allows wireless communication between vehicles, as well as between vehicles and roadside equipment. Communication between vehicles promotes safety and reliability, and can be a source of entertainment. We investigated the historical development, characteristics, and application fields of VANET and briefly introduced them in this study. Advantages and disadvantages were discussed based on our analysis and comparison of various classes of MAC and routing protocols applied to VANET. Ideas and breakthrough directions for inter-vehicle communication designs were proposed based on the characteristics of VANET. This article also illustrates physical, MAC, and network layer in details which represent the three layers of VANET. The main works of the active research institute on VANET were introduced to help researchers track related advanced research achievements on the subject.
Improving the Proactive Routing Protocol using Depth First Iterative Deepening Spanning Tree in Mobile Ad Hoc Network
Authors: I Justin Sophia , Rama N.
Published: October 2017

Owing to the wireless and mobility nature, nodes in a mobile ad hoc network are not within the transmission range. It needs to transfer data through the multi-intermediate nodes. Opportunistic data forwarding is an assuring solution to make use of the broadcast environment of wireless communication links. Due to absence of source routing capability with efficient proactive routing protocol, it is not widely used. To rectify the problem, we proposed memory and routing efficient proactive routing protocol using Depth-First Iterative-Deepening and hello messaging scheme.  This protocol can conserve the topology information in every node in the network. In experimental analysis and discussion, we implemented the proposed work using NS2 simulator tool and proved that the proposed technique is performed well in terms of average delay, buffer and throughput.
A Real Time Application of Soft Set in Parameterization Reduction for Decision Making Problem
Authors: Pant Janmejay , Juyal Amit , Pant Himanshu , Dwivedi Akhilesh
Published: October 2017

In each and every field of science and technology Information science plays an important role. Sometimes information science is facing different types of problems to handle the data and information. Data Uncertainty is one of the challenging difficulties to handle. In past, there are several theories like fuzzy set, Rough set, Probability etc.to dealing with uncertainty. Soft set theory is the youngest theory to deal with uncertainty. In this paper we discussed how to find reducts. This paper focuses on how we can transform a sample data set to binary valued information system. We are also going to reduce the dimension of data set by using the binary valued information that results a better decision.
Sensing Trending Topics in Twitter for Greater Jakarta Area
Authors: Sitorus Angga Pratama , Murfi Hendri , Nurrohmah Siti , Akbar Afif
Published: October 2017

Information and communication technology grows so fast nowadays, especially related to the internet. Twitter is one of internet applications that produce a large amount of textual data called tweets. The tweets may represent real-world situation discussed in a community. Therefore, Twitter can be an important media for urban monitoring. The ability to monitor the situations may guide local government to respond quickly or make public policy. Topic detection is an important automatic tool to understand the tweets, for example, using non-negative matrix factorization. In this paper, we conducted a study to implement Twitter as a media for the urban monitoring in Jakarta and its surrounding areas called Greater Jakarta. Firstly, we analyze the accuracy of the detected topics in term of their interpretability level. Next, we visualize the trend of the topics to identify popular topics easily. Our simulations show that the topic detection methods can extract topics in a certain level of accuracy and draw the trends such that the topic monitoring can be conducted easily.
Performance Evaluation of Interactive Video Streaming over WiMAX Network
Authors: Narejo Sanam , Kulsoom Farzana , Jawaid M. Moazzam
Published: October 2017

Nowadays, the desire of internet access and the need of digital encodings have influenced quite a large number of users to access high quality video application. Offering multimedia services not only to the wired but to wireless mobile client is becoming more viable. In wireless medium, video-streaming still has high resource requirements, for example, bandwidth, traffic priority, smooth play-backs. Therefore, bandwidth demands of these applications are far exceeding the capacity of 3G and Wireless Local Area Networks (LANs). The current research demonstrates the introductory understanding of the Worldwide Interoperability for Microwave Access (WiMax) network, applications, the mechanisms, its potential features, and techniques used to provide QoS in WiMAX, and lastly the network is simulated  to report the diverse requirements of streamed video conferencing traffic and its specifications. For this purpose two input parameters of video traffic are selected, i.e, refresh rate, which is monitored in terms of frames per second and pixel resolutions which basically counts the number of pixels in digital imaging. The network model is developed in OPNET. Different outcomes from simulation based models are analyzed and appropriate reasons are also discussed. Apart from this, the second aim of the current research is to address whether WiMAX access technology for streaming video applications could provide comparable network performance to Asymmetric Digital Subscriber Line (ADSL). For this purpose network metrices such as End to End delay and throughput is taken into consideration for optimization.
The Instructional Thematic Game for Children with Mild Mental Retardation: For Enhancement of Left-Right Recognition Skill
Authors: Kuswardhana Dandhi , Hasegawa Shinobu , Juhanaini Juhanaini
Published: October 2017

Children with mild mental retardation had several difficulties with interaction, remembering information, problem-solving, physic-motoric, learning problem, etc. Therefore, we proposed a novel framework to increase their learning skill using instructional thematic game rehabilitation framework based on Kinect sensor as the solution. Basically, the framework had three components. First, intellectual functions, which implied to the competencies reached through the game by the student. Second, instructional thematic game model, which was the concept to learn everything from the real single topic of the subject by associating to the abstract objects. Three, computer sensor device, which was the equipment as the bridge between the children and the program application. This research covered enhancement of right and left-hand recognition. We adopted Single Subject Research to evaluate the effectiveness of the system and to explore each of the individual’s progress. This process was divided into 2 steps. Namely, baseline stage and treatment stage. Apparently, from our finding, such framework gave the student an enhanced learning skill covering left-right recognition skill, decreasing the level of disturbance, and improving the level of learning independence.
Reliability Evaluation and Analysis of Mobile Ad Hoc Networks
Authors: Panda Deepak Kumar , Dash Ranjan Kumar
Published: October 2017

The paper addresses the reliability problem of mobile ad hoc networks under link and node failure model. Node reliability is calculated as a function of no. of neighbor nodes, packet success rate, and device type and packet size. The presence of a link between any node pair is binary and its reliability is computed considering the distance between nodes and signal-to-noise ratio (SNR). An efficient algorithm is proposed to analyze and calculate the reliability of mobile ad hoc networks considering multiple routes from source and destination nodes. The effect of different parameters on node reliability and link reliability are analyzed and discussed. The network is simulated and analyzed using INET frame work. Reliability of two distinct cases of this simulation is evaluated. The simulated results and discussions ensure that evaluation of the reliability of any mobile ad hoc networks can be done easily and in an efficient manner by the proposed method.
New Heuristic Model for Optimal CRC Polynomial
Authors: Khirbeet Ahmed Salih , Muniyandi Ravie Chandren
Published: October 2017

Cyclic Redundancy Codes (CRCs) are important for maintaining integrity in data transmissions. CRC performance is mainly affected by the polynomial chosen. Recent increases in data throughput require a foray into determining optimal polynomials through software or hardware implementations. Most CRC implementations in use, offer less than optimal performance or are inferior to their newer published counterparts. Classical approaches to determining optimal polynomials involve brute force based searching a population set of all possible polynomials in that set. This paper evaluates performance of CRC-polynomials generated with Genetic Algorithms. It then compares the resultant polynomials, both with and without encryption headers against a benchmark polynomial.
An Improved Similarity Matching based Clustering Framework for Short and Sentence Level Text
Authors: Basha M. John , Kaliyamurthie K.P.
Published: October 2017

Text clustering plays a key role in navigation and browsing process. For an efficient text clustering, the large amount of information is grouped into meaningful clusters. Multiple text clustering techniques do not address the issues such as, high time and space complexity, inability to understand the relational and contextual attributes of the word, less robustness, risks related to privacy exposure, etc. To address these issues, an efficient text based clustering framework is proposed. The Reuters dataset is chosen as the input dataset. Once the input dataset is preprocessed, the similarity between the words are computed using the cosine similarity. The similarities between the components are compared and the vector data is created. From the vector data the clustering particle is computed. To optimize the clustering results, mutation is applied to the vector data. The performance the proposed text based clustering framework is analyzed using the metrics such as Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR) and Processing time. From the experimental results, it is found that, the proposed text based clustering framework produced optimal MSE, PSNR and processing time when compared to the existing Fuzzy C-Means (FCM) and Pairwise Random Swap (PRS) methods.
Sensoring Leakage Current to Predict Pollution Levels to Improve Transmission Line Model via ANN
Authors: I. Khalel Saraa , Rahmat Mohd Fadli , Bin Mustafa Mohd Wazir
Published: October 2017

Pollution insulator is a serious threat to the safety operations of electric power systems. Leakage current detection is widely employed in transmission line insulators to assess pollution levels. This paper presents the prediction of pollution levels on insulators based on simulated leakage current and voltage in a transmission tower.The simulation parameters are based on improved transmission line model with leakage current resistance insertion between buses. Artificial neural network (ANN) is employed to predict the level of pollution with different locations of simulated leakage current and voltage between two buses. With a sufficient number of training, the test results showed a significant potential for pollution level prediction with more than 95% Correct Classification Rate (CCR) and output of the ANN showed high agreement with Simulink results.
Hybrid System of Tiered Multivariate Analysis and Artificial Neural Network for Coronary Heart Disease Diagnosis
Authors: Wiharto Wiharto , Kusnanto Hari , Herianto Herianto
Published: October 2017

Improved system performance diagnosis of coronary heart disease becomes an important topic in research for several decades. One improvement would be done by features selection, so only the attributes that influence is used in the diagnosis system using data mining algorithms. Unfortunately, the most feature selection is done with the assumption has provided all the necessary attributes, regardless of the stage of obtaining the attribute, and cost required. This research proposes a hybrid model system for diagnosis of coronary heart disease. System diagnosis preceded the feature selection process, using tiered multivariate analysis. The analytical method used is logistic regression. The next stage, the classification by using multi-layer perceptron neural network. Based on test results, system performance proposed value for accuracy 86.3%, sensitivity 84.80%, specificity 88.20%, positive prediction value (PPV) 90.03%, negative prediction value (NPV) 81.80%, accuracy 86,30%  and area under the curve (AUC) of 92.1%. The performance of a diagnosis using a combination attributes of risk factors,symptoms and exercise ECG. The conclusion that can be drawn is that the proposed diagnosis system capable of delivering performance in the very good category, with a number of attributes that are not a lot of checks and a relatively low cost.
DARE Algorithm: A New Security Protocol by Integration of Different Cryptographic Techniques
Authors: Mark Espalmado John , Arboleda Edwin
Published: October 2017

Exchange of information between computer networks requires a secure communications channel to prevent and monitor unauthorized access, modification and denial of the computer network. To address this growing problem, security experts sought ways to advance the integrity of data transmission. Security Attacks compromises the security and hence hybrid cryptographic algorithms have been proposed to achieve safe service in the proper manner, such as user authentication and data confidentiality. Data security and authenticity are achieved using these algorithms. Moreover, to improve the strength and cover each algorithm’s weaknesses, a new security algorithm can be designed using the combination of different cryptographic techniques. This design uses Digital Signature Algorithm (DSA) for authentic key generation, Data Encryption Standard (DES) for key scheduling, and Advanced Encryption Standard (AES) and Rivest–Schamir–Adleman Algorithm (RSA) in encrypting data. This new security algorithm has been proposed for improved security and integrity by integration of these cryptographic techniques.
OPC Protocol Application for Real-Time Carbon Monitoring System for Industrial Environment
Authors: Rohani Mohd Faiz , Ahmad Noor Azurati , Sahibuddin Shamsul , Daud Salwani Mohd
Published: October 2017

Global warming is referred to the rise in average surface temperatures on earth primarily due to the Greenhouse Gases (GHG) emissions such as Carbon Dioxide (CO2). Monitoring the emissions, either direct or indirect from the industrial processes, is important to control or to minimize their impact on the environment. Most of the existing environmental monitoring system is being designed and developed for normal environment monitoring. Hence, the aim of this project is to develop industrial CO2 emission monitoring system which implements industrial Open Platform Communications (OPC) protocol in an embedded microcontroller. The software algorithm based on OPC data format has been designed and programmed into the Arduino microcontroller to interface the sensor data to any existing industrial OPC compliant Supervisory Control and Data Acquisition (SCADA) system. The system has been successfully tested in a lab with the suitable environment for real-time CO2 emissions measurement. The real-time measurement data has been shown in an industrial SCADA application which indicates successful implementation of the OPC communications protocol.
Detection of Rogue Access Point in WLAN using Hopfield Neural Network
Authors: Dahiya Menal , Gill Sumeet
Published: October 2017

The serious issue in the field of wireless communication is the security and how an organization implements the steps against security breach. The major attack on any organization is Man in the Middle attack which is difficult to manage. This attack leads to number of unauthorized access points, called rogue access points which are not detected easily. In this paper, we proposed a Hopfield Neural Network approach for an automatic detection of these rogue access points in wireless networking. Here, we store the passwords of the authentic devices in the weight matrix format and match the patterns at the time of login. Simulation experiment shows that this method is more secure than the traditional one in WLAN.
Quality of Service based Task Scheduling Algorithms in Cloud Computing
Authors: Potluri Sirisha , Subba Rao Katta
Published: October 2017

In cloud computing resources are considered as services hence utilization of the resources in an efficient way is done by using task scheduling and load balancing. Quality of service is an important factor to measure the trustiness of the cloud. Using quality of service in task scheduling will address the problems of security in cloud computing. This paper studied quality of service based task scheduling algorithms and the parameters used for scheduling. By comparing the results the efficiency of the algorithm is measured and limitations are given. We can improve the efficiency of the quality of service based task scheduling algorithms by considering these factors arriving time of the task, time taken by the task to execute on the resource and the cost in use for  the communication.
Novel 9-Steps Automatic AC Voltage Regulator based on Two Step-down Transformers
Authors: Attia Hussain
Published: October 2017

A novel design and simulation results of 9-steps automatic AC voltage regulator based on one step-down transformer is presented in this paper. Avoiding the problem of surge at the AC load during controlling jump steps is done through the proposed design. Accurate and smooth controlling function is achieved as well. Instead of the necessity of increasing the number of taps of the used multi tap transformer for wide controlling range of fluctuated AC  supply voltage, the proposed designed adopts using only two step down transformers with 10 Vrms, and 30 Vrms secondary voltages respectively. Through the controlling of the proposed design of AV voltage regulator, the resultant load voltage is equal the AC supply voltage as well as the suitable voltage step which may one of the following voltages; +40V, +30V, +20V, +10V, 0V, -10V, -20V, -30V, -40V. The electronic design is done Multisim software while the electrical circuit connection of step down transformers and relays contacts that is made by using PSIM software for power circuit design.
Implementation of PWM Control of DC Split Converter Fed Switched Reluctance Motor Drive
Authors: Srinivas P.
Published: October 2017

The phase winding of Switched Reluctance Motor is excited during the positive increasing region of the phase inductance to get the motoring action. This is performed through a converter. This paper presents the speed control of DC Split converter fed 4 phase 8/6 Switched Reluctance Motor drive using PWM controller. The speed of the motor is controlled by varying the duty ratio of the PWM controller.  Simulation results are verified with hardware implementation of the controller. The Hall sensors provided in the motor provide signals corresponding to the position of the rotor. The pulses to the IGBT switches are generated by TMS320F2407A DSP controller. The waveforms of the PWM signals and Hall sensor signals are captured by means of Digital Storage Oscilloscope. Motor phase currents, phase voltages and associated numerical values are captured and analyzed by Power Analyzer. Steady state analysis of the drive has been carried out. 
Evaluation of the Energy Performance of the Amougdoul Wind Farm, Morocco
Authors: Ezzaidi Asma , Elyaqouti Mustapha , Bouhouch Lahoussine , Ihlal Ahmed
Published: October 2017

This paper is concerned with the assessment of the the performance of the Amougdoul wind farm. We have determined the Weibull parameters; namely the scale parameter, c (m/s) and shape parameter, k. After that, we have estimated energy output by a wind turbine using two techniques: the useful power calculation method and the method based on the modeling of the power curve, which is respectively 134.5 kW and 194.19 KW corresponding to 27% and 39% of the available wind energy, which confirm that the conversion efficiency does not exceed 40%.
Hybrid Low Complex near Optimal Detector for Spatial Modulation
Authors: Rajani Kumari P. , Chenna Kesava Reddy K. , Ramesh K.S.
Published: October 2017

In our previous work maximum throughput in multi stream MIMO is analyzed by overcoming the inter antenna interference. To mitigate the Inter antenna interference spatial modulation can be used. Spatial Modulation(SM) aided MIMO systems are the emerging MIMO systems which are low complex and energy efficient. These systems additionally use spatial dimensions for transmitting information. In this paper a low complex detector based on matched filter is proposed for spatial modulation to achieve near maximum likelihood performance while avoiding exhaustive ML search since MF based detector exhibits a considerable reduced complexity since activated transmitting antenna and modulated amplitude phase modulation constellation are estimated separately. Simulation results show the performance of the proposed method with optimal ML detector, MRC and conventional matched filter methods.
Image Processing for Rapidly Eye Detection based on Robust Haar Sliding Window
Authors: Utaminingrum Fitri , Praetya Renaldi Primaswara , Sari Yuita Arum
Published: October 2017

Object Detection using Haar Cascade Clasifier widely applied in several devices and applications as a medium of interaction between human and computer such as a tool control that utilizes the detection of eye movements. Obviously speed and precision in the detection process such as eyes, has an effect if implemented on a device. If the eye could not detect accurately, controlling device systems could reach bad detection as well. The proposed method can be used as an approach to detect the eye region of eye based on haar classifier method by means of modifying the direction of sliding window. In which, it was initially placed in the middle position of image on facial area by assuming the location of eyes area in the central region of the image. While the window region of conventional haar cascade scan the whole of image start from the left top corner. From the experiment by using our proposed method, it can speed up the the computation time and improve accuracy significantly reach to 92,4%.
Video Inter-frame Forgery Detection Approach for Surveillance and Mobile Recorded Videos
Authors: Kingra Staffy , Aggarwal Naveen , Devender Singh Raahat
Published: October 2017

We are living in an age where use of multimedia technologies like digital recorders and mobile phones is increasing rapidly. On the other hand, digital content manipulating softwares are also increasing making it easy for an individual to doctor the recorded content with trivial consumption of time and wealth. Digital multimedia forensics is gaining utmost importance to restrict unethical use of such easily available tampering techniques. These days, it is common for people to record videos using their smart phones. We have also witnessed a sudden growth in the use of surveillance cameras, which we see inhabiting almost every public location. Videos recorded using these devices usually contains crucial evidence of some event occurence and thereby most susceptible to inter-frame forgery which can be easily performed by insertion/removal/replication of frame(s). The proposed forensic technique enabled detection of inter-frame forgery in H.264 and MPEG-2 encoded videos especially mobile recorded and surveillance videos. This novel method introduced objectivity for automatic detection and localization of tampering by utilizing prediction residual gradient and optical flow gradient. Experimental results showed that this technique can detect tampering with 90% true positive rate, regardless of the video codec and recording device utilized and number of frames tampered.