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Random routing scheme with misleading dead ends

10.11591/ijict.v8i2.pp87-93
Chitra Rajarama , Jagadeesha Narasimhamurthy Sugatoor , Yerri Swamy T
A new method of sink location security in a Wireless Sensor Network is proposed. In the proposed scheme, all the node addresses are encrypted and an attacker cannot determine the real sink address by capturing the packets and analyzing its contents for the final destination. The main contribution of our proposed method is to use random routing scheme with misleading dead ends. This provides security against traffic analysis attack.
Volume: 8
Issue: 2
Page: 87-93
Publish at: 2019-08-01

Path based load balancing for data center networks using SDN

10.11591/ijece.v9i4.pp3279-3285
V. Deeban Chakravarthy , B. Amutha
Due to the increase in the number of users on the internet and the number of applications that is available in the cloud makes Data Center Networking (DCN) has the backbone for computing. These data centre requires high operational cost and also experience the link failures and congestions often. Hence the solution is to use Software Defined Networking (SDN) based load balancer which improves the efficiency of the network by distributing the traffic across multiple paths to optimize the efficiency of the network. Traditional load balancers are very expensive and inflexible. These SDN load balancers do not require costly hardware and can be programmed, which it makes it easier to implement user-defined algorithms and load balancing strategies. In this paper, we have proposed an efficient load balancing technique by considering different parameters to maintain the load efficiently using Open FlowSwitches connected to ONOS controller.
Volume: 9
Issue: 4
Page: 3279-3285
Publish at: 2019-08-01

The Global Survey of the Electrical Energy Distribution System: A Review

10.11591/ijece.v9i4.pp2247-2255
Archana Sudhakar Talhar , Sanjay B. Bodkhe
This paper gives a review of energy scenario in India and other countries. Today’s demand of the world is to minimize greenhouse gas emissions, during the production of electricity. Henceforth over the world, the production of electrical power is changing by introducing abundantly available renewable energy sources like sun and wind. But, because of the intermittent nature of sustainable power sources, the electrical power network faces many problems, during the transmission and distribution of electricity. For resolving these issues, Electrical Energy Storage (EES) is acknowledged as supporting technology. This paper discusses about the world electrical energy scenario with top renowned developed countries in power generation and consumption. Contribution of traditional power sources changed after the introduction of renewable energy sources like sun and wind. Worldwide Agencies are formed like International Energy Agency (IEA), The Central Intelligence Agency, (CIS) etc. The main aim of these agencies is to provide reliable, affordable and clean energy. This paper will discuss about the regulatory authority and government policies/incentives taken by different countries.  At the end of this paper, author focuses on obstacles in implementation, development and benefits of renewable energy.
Volume: 9
Issue: 4
Page: 2247-2255
Publish at: 2019-08-01

Characterizations of electrode geometrical shape for dielectrophoresis

10.11591/ijeecs.v15.i2.pp671-677
N. Burham , A. A. M. Shahar , A. A. Aziz , T. N. T. Yaakub , N. Khairuddin
This paper presents a characterization of geometrical shape on dielectrophoresis by determining and analysing the geometrical shape of electrodes. The structure or geometrical shape of dielectrophoresis electrode is design using COMSOL software to determine the maximum trapping efficiency of particles. The trapping efficiency of particles can be evaluated by analysing the best electrical gradient and investigated the behaviour of the particles if the existence of a non-uniform electric field.  There are three geometrical shapes have been designed which is, peel chain shape, castle wall shape and comb shape. Each of the geometrical shapes have different magnetic field produce, hence each of the design have specific application. Furthermore, these three designed are analysed by varying the material of the electrode for the best trapping efficiency. From the various and previous study, for maximum trapping efficiency the shape used is peel chain shape which is suitable for biological and non-biological particles separation. But for the castle wall and comb shape is the most suitable for biological particles such as red blood cell and bacteria trapping. As for the result obtain, it is proven that peel chain shape could achieve maximum electrical gradient to trap biological or non-biological particles in the future.
Volume: 15
Issue: 2
Page: 671-677
Publish at: 2019-08-01

Mobile Location Indexing Based On Synthetic Moving Objects

10.11591/ijece.v9i4.pp2556-2563
Thu Thu Zan , Sabai Phyu
Today, the number of researches based on the data they move known as mobile objects indexing came out from the traditional static one. There are some indexing approaches to handle the complicated moving positions. One of the suitable ideas is pre-ordering these objects before building index structure. In this paper, a structure, a presorted-nearest index tree algorithm is proposed that allowed maintaining, updating, and range querying mobile objects within the desired period. Besides, it gives the advantage of an index structure to easy data access and fast query along with the retrieving nearest locations from a location point in the index structure. A synthetic mobile position dataset is also proposed for performance evaluation so that it is free from location privacy and confidentiality. The detail experimental results are discussed together with the performance evaluation of KDtree-based index structure. Both approaches are similarly efficient in range searching. However, the proposed approach is especially much more save time for the nearest neighbor search within a range than KD tree-based calculation.
Volume: 9
Issue: 4
Page: 2556-2563
Publish at: 2019-08-01

Semi-automated double sided livestock (SADSL) mix feeder

10.11591/ijeecs.v15.i2.pp1019-1026
Zainal Hisham Che Soh , Syahrul Afzal Che Abdullah , Mohd. Affandi Shafie , Mohammad Nizam Ibrahim
The Semi-Automated Double-Sided Livestock (SADSL) MixFeeder is designed to automatically feed and acts as a mixer for the ingredients of the livestock. The machine provides owners of these animals the freedom to be away from their reared animals for up to a week at a time and can be confident that their animals are being fed properly. The software design for the SADSL MixFeeder utilizes custom software written in the language of the Arduino development environment to implement all the functions required to control the feeder using Arduino microcontroller-based system. The prototype for SADSL MixFeeder is designed and implemented successfully.
Volume: 15
Issue: 2
Page: 1019-1026
Publish at: 2019-08-01

Online Data Preprocessing: A Case Study Approach

10.11591/ijece.v9i4.pp2620-2626
Mohammed Zuhair Al-Taie , Seifedine Kadry , Joel Pinho Lucas
Besides the Internet search facility and e-mails, social networking is now one of the three best uses of the Internet. A tremendous number of volunteers every day write articles, share photos, videos and links at a scope and scale never imagined before. However, because social network data are huge and come from heterogeneous sources, the data are highly susceptible to inconsistency, redundancy, noise, and loss. For data scientists, preparing the data and getting it into a standard format is critical because the quality of data is going to directly affect the performance of mining algorithms that are going to be applied next. Low-quality data will certainly limit the analysis and lower the quality of mining results. To this end, the goal of this study is to provide an overview of the different phases involved in data preprocessing, with a focus on social network data. As a case study, we will show how we applied preprocessing to the data that we collected for the Malaysian Flight MH370 that disappeared in 2014.
Volume: 9
Issue: 4
Page: 2620-2626
Publish at: 2019-08-01

Heart rate Encapsulation and Response Tool using Sentiment Analysis

10.11591/ijece.v9i4.pp2585-2592
Prabadevi B. , Nandyala Srujana Reddy , Deepa B.
Users of every system expect it to get better. Providing feedback to the owners or management was difficult but with the advent of technology, it has become handy. Users can now post their comments through online blogs, android apps and websites. Due to the enormous data piling up every second causes a problem in analyzing it. In this paper, sentiment analysis is used for analyzing comments and reviews for hospital management system are demonstrated with real time data. The tools, algorithms and methodology that could fetch accurate results is described. Experimental results indicate 90% of accuracy in proposed system. The review report generated would help the hospital management to identify the positive and negative feedback which further assists them in improving their facilities that could not only create customer satisfaction but also enhanced business processes.
Volume: 9
Issue: 4
Page: 2585-2592
Publish at: 2019-08-01

Integrated Framework for Secure and Energy Efficient Communication System in Heterogeneous Sensory Application

10.11591/ijece.v9i4.pp2695-2702
Yogeesh AC , Shantakumar B. Patil , Premjyoti Patil , Roopashree HR
Irrespective of different forms and strategies implementing for securing Wireless Sensor Network (WSN), there are very less strategies that offers cost effective security over heterogeneous network. Therefore, this paper presents an integrated set of different processes that emphasize over secure routing, intellectual and delay-compensated routing, and optimization principle with a sole intention of securing the communication to and from the sensor nodes during data aggregation. The processed system advocates the non-usage of complex cryptography and encourages the usage of probability their and analytical modelling in order to render more practical implementation. The simulated outcome of study shows that proposed system offers reduced delay, more throughputs, and reduced energy consumption in contrast to existing system.
Volume: 9
Issue: 4
Page: 2695-2702
Publish at: 2019-08-01

An effective approach to develop location-based augmented reality information support

10.11591/ijece.v9i4.pp3060-3068
Komang Candra Brata , Deron Liang
Using location-based augmented reality (AR) for pedestrian navigation can greatly improve user action to reduce the travel time. Pedestrian navigation differs in many ways from the conventional navigation system used in a car or other vehicles. A major issue with using location-based AR for navigation to a specific landmark is their quality of usability, especially if the active screen is overcrowded with the augmented POI markers which were overlap each other at the same time. This paper describes the user journey map approach that led to new insights about how users were using location-based AR for navigation. These insights led to a deep understanding of challenges that user must face when using location-based AR application for pedestrian navigation purpose, and more generally, they helped the development team to appreciate the variety of user experience in software requirement specification phase. To prove our concept, a prototype of intuitive location-based AR was built to be compared with existing standard-location based AR. The user evaluation results reveal that the overall functional requirements which are gathered from user journey have same level of success rate criteria when compared with standard location-based AR. Nevertheless, the field study participants highlighted the extended features in our prototype could significantly enhance the user action on locating the right object in particular place when compared with standard location-based AR application (proved with the required time).
Volume: 9
Issue: 4
Page: 3060-3068
Publish at: 2019-08-01

Bayesian distance metric learning and its application in automatic speaker recognition systems

10.11591/ijece.v9i4.pp2960-2967
Satyanand Singh
This paper proposes state-of the-art Automatic Speaker Recognition System (ASR) based on Bayesian Distance Learning Metric as a feature extractor. In this modeling, I explored the constraints of the distance between modified and simplified i-vector pairs by the same speaker and different speakers. An approximation of the distance metric is used as a weighted covariance matrix from the higher eigenvectors of the covariance matrix, which is used to estimate the posterior distribution of the metric distance. Given a speaker tag, I select the data pair of the different speakers with the highest cosine score to form a set of speaker constraints. This collection captures the most discriminating variability between the speakers in the training data. This Bayesian distance learning approach achieves better performance than the most advanced methods. Furthermore, this method is insensitive to normalization compared to cosine scores. This method is very effective in the case of limited training data. The modified supervised i-vector based ASR system is evaluated on the NIST SRE 2008 database. The best performance of the combined cosine score EER 1.767% obtained using LDA200 + NCA200 + LDA200, and the best performance of Bayes_dml EER 1.775% obtained using LDA200 + NCA200 + LDA100. Bayesian_dml overcomes the combined norm of cosine scores and is the best result of the short2-short3 condition report for NIST SRE 2008 data.
Volume: 9
Issue: 4
Page: 2960-2967
Publish at: 2019-08-01

Enhancement of stability margin based on dynamic brake strategy

10.11591/ijeecs.v15.i2.pp571-580
Majli Nema Hawas
The Rate of Change Kinetic Energy (RACKE) method achieves considerable reduction in computing time by virtue of the way that it does not need the solution of system equation beyond fault clearing time. In RACKE method the machine which tends to lose synchronism can be defined as that which has the largest negation RACKE value. The injection of the brake ought to be achieved when RACKE of the machine liable to be unstable reaches its maximum negative value. Elimination happens when RACKE of the machine is zero and disturbance angular velocity passes through zero changing sign from positive to negative. To defining the instant of injection and elimination of brake, RACKE method can be used to investigate the transient stability margin of a power system through evaluation of RACKE value at the instant of fault clearance. The simulation demonstrates that the applying of a braking resistor at the terminal of each of the machines, pulling of synchronism, simultaneously brings the system into stable trajectory. It is clear from the results obtained that dynamic braking depending on the RACKE criterion for insertion and removal of the brake gives excellent results in an enhancement of transient stability margin.
Volume: 15
Issue: 2
Page: 571-580
Publish at: 2019-08-01

An algorithm for detection of tuberculosis bacilli in Ziehl-Neelsen sputum smear images

10.11591/ijece.v9i4.pp2968-2981
Christian del Carpio , Erwin Dianderas , Mirko Zimic , Patricia Sheen , Jorge Coronel , Roberto Lavarello , Guillermo Kemper
This work proposes an algorithm oriented to the detection of tuberculosis bacilli in digital images of sputum samples, inked with the Ziehl Neelsen method and prepared with the direct, pellet and diluted pellet methods. The algorithm aims at automating the optical analysis of bacilli count and the calculation of the concentration level. Several algorithms have been proposed in the literature with the same objective, however, in no case is the performance in sensitivity and specificity evaluated for the 3 preparation methods. The proposed algorithm improves the contrast of the colors of interest, then thresholds the image and segments by labeling the objects of interest (bacilli). Each object then has its geometrical descriptors and photometric descriptors. With all this, a characteristic vector is formed, which are used in the training and classification process of an SVM. For the training 225 images obtained by the 3 preparation methods were used. The proposed algorithm reached, for the direct method, a sensitivity level of 93.67% and a specificity level of 89.23%. In the case of the Pellet method, a sensitivity of 92.13% and a specificity of 82.58% was obtained, while for diluted Pellet the sensitivity was 92.81% and the specificity 83.61%.
Volume: 9
Issue: 4
Page: 2968-2981
Publish at: 2019-08-01

Heterogeneous modelling framework for 5G urban macro ultra dense networks

10.11591/ijeecs.v15.i2.pp962-970
Fayad Ghawbar , Faiz A. Saparudin , Jumadi A. S. , Aimi S. A. Ghafar , N. Katiran
The explosive growth of mobile devices is the main engine to continue evolution in the communications field. The amount of traffic generated by today’s users in applications such as high definition videos, cloud computing, and wearable devices, require a drastic change in mobile telecommunications. 5G Ultra Dense Network (UDN) is one of the key components leading in achieving the high capacity for all users. In UDN, the number of base stations or access nodes equals or exceeds the number of active users by unit area. In this paper, different modeling techniques of UDN are studied. Moreover, a heterogeneous framework modeling was proposed. This framework illustrated a system model for UDN based on Urban Macro (UMa) Scenario. The distance dependent path loss model for UMa was presented and analyzed. The Simulation results of path loss model indicated an increase in the path loss with increasing the distance range from 10m to 500m. The received power simulation results of User Terminal (UT) displayed the power is approaching zero when the distance between the BS and UT goes beyond 250m. Therefore, it is assumed that UTs located 250m away from the BS can reuse the subchannel of AN in another sector with negligible interference.
Volume: 15
Issue: 2
Page: 962-970
Publish at: 2019-08-01

A multilabel classification approach for complex human activities using a combination of emerging patterns and fuzzy sets

10.11591/ijece.v9i4.pp2993-3001
Nehal A. Sakr , Mervat Abu-ElKheir , A. Atwan , H. H. Soliman
In our daily lives, humans perform different Activities of Daily Living (ADL), such as cooking, and studying. According to the nature of humans, they perform these activities in a sequential/simple or an overlapping/complex scenario. Many research attempts addressed simple activity recognition, but complex activity recognition is still a challenging issue. Recognition of complex activities is a multilabel classification problem, such that a test instance is assigned to a multiple overlapping activities. Existing data-driven techniques for complex activity recognition can recognize a maximum number of two overlapping activities and require a training dataset of complex (i.e. multilabel) activities. In this paper, we propose a multilabel classification approach for complex activity recognition using a combination of Emerging Patterns and Fuzzy Sets. In our approach, we require a training dataset of only simple (i.e. single-label) activities. First, we use a pattern mining technique to extract discriminative features called Strong Jumping Emerging Patterns (SJEPs) that exclusively represent each activity. Then, our scoring function takes SJEPs and fuzzy membership values of incoming sensor data and outputs the activity label(s). We validate our approach using two different dataset. Experimental results demonstrate the efficiency and superiority of our approach against other approaches.
Volume: 9
Issue: 4
Page: 2993-3001
Publish at: 2019-08-01
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