Volume-8 Issue-2S8, August 2019 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org Exploring Innovation | ISSN:2277-3878(Online) | A Periodical Journal | Reg. No.: C/819981 | Published By BEIESP Mon, 22 May 2023 12:38:58 +0000 en-US hourly 1 https://www.ijrte.org/wp-content/uploads/2021/02/cropped-IJRTE-Logo-WS-32x32.png Volume-8 Issue-2S8, August 2019 – International Journal of Recent Technology and Engineering (IJRTE) https://www.ijrte.org 32 32 B10670782S619 https://www.ijrte.org/portfolio-item/b10670782s619/ Mon, 22 May 2023 12:38:58 +0000 https://www.ijrte.org/?post_type=portfolio&p=40899 The post B10670782S619 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Automatic Identification System based Fishing Trajectory Data Preprocessing Method using Map Reduce
Jin-wan Park1, Keon Myung Lee2, Kwang-il Kim3
1Jin-wan Park, Graduate, Department of Maritime Transportation System, Mokpo National Maritime University, Mokpo, Republic of Korea.
2Keon Myung Lee, Department of Computer Science, Chungbuk National University, 1 Chungdae-ro Cheongju-si, Republic of Korea.
3Kwang-il Kim, Division of Marine Industry and Maritime Police, Jeju National University, Jeju, Republic of Korea.
Manuscript received on 19 August 2019 | Revised Manuscript received on 29 August 2019 | Manuscript Published on 16 September 2019 | PP: 352-356 | Volume-8 Issue-2S6 July 2019 | Retrieval Number: B10670782S619/2019©BEIESP | DOI: 10.35940/ijrte.B1067.0782S619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Many countries use vessel monitoring system (VMS) data to monitor their fishery activities. However, VMS data is limited in terms of distinguishing operations involving illegal fishing gear. Recently introduced automatic identification system (AIS) data is advantageous for tracking fishing ship behaviors.AIS data include various types of information about a ship, such as its state of navigation and its broadcast rate on the radio channel. We interpolate AIS trajectory data with a regular time interval and extract the ship velocity and course change data for fishing ship gear classification. To simplify and condense the data, the course change index (CCI) and ship speed index (SSI) are applied to the ship velocity and course data. The proposed mapper combines CCIs and SSIs into key words, while the proposed reducer collects fishing ship gear type values that are of the same key.By using the proposed key-value dataset from the MapReduce procedure, we can classify fishing gear type. We evaluated the performance of the proposed model by using a test dataset. The results showed that the proposed model achieved 76.2% accuracy in the classification of fishing ship trajectories against the test dataset.
Keywords: Automatic Identification System, Course Change Index, Fishing Activity, Fishing Gear Classification, MapReduce, Vessel Monitoring System.
Scope of the Article: Data Analytics

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]]> B15060882S819 https://www.ijrte.org/portfolio-item/b15060882s819/ Tue, 16 May 2023 07:59:13 +0000 https://www.ijrte.org/?post_type=portfolio&p=40466 The post B15060882S819 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Biometric Iris Recognition of Person from an Image at Long Distance using Chronological Monarch Butterfly Optimization based Deep Belief Network
Swati D. Shirke1, C. Rajabhushanam2
1Ms. Swati D. Shirke, Ph.D Scholor, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2Dr. C. Rajabhushanam, Professor, Department of Computer Science & Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1975-1983 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B15060882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1506.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Now days, for the identification of personal information of a person, biometrics is mostly used. Also for the personal identification, the recognition of eye based biometric feature extraction is the most powerful tool. The biometric is an important identity to identify the individual. But in real time it is quite difficult to capture the better quality of iris images. The images obtained are more degraded due to the lack of texture, blur. In this paper, more convenient method is presented for extracting the features of biometric images. The method Iris Recognition at-a Distance (IAAD) is used to extract the iris features of biometric image and to enhance the quality of an image in a biometric system. The Chronological Monarch Butterfly Optimization -based Deep Belief Network (Chronological MBO-based DBN) is proposed for iris recognition to get better accuracy. The Monarch Butterfly Optimization algorithm is used to arrange the Chronological assumption of an iris image. Also, the Hough Transform algorithm is used for detection of iris circle and edge. The scaT T loop descriptor and the Local Gradient Pattern (LGP) are used for feature extraction, which is fed to the Chronological MBO-based DBN for iris recognition that enhances the accuracy. The Daugman’s rubber sheet model, median filter and trained neural network are used for normalization and segmentation. The UBIRIS.v1 database is used to take an iris recognition images and MATLAB is used for programming of for reading the iris images and for performing the Hough transform operations. The iris recognition at a distance 4 to 8 meter is done with the help of simulation result. The performance is analyzed based on the metrics, like False Acceptance Rate (FAR), accuracy, and False Rejection Rate (FRR) with the value of 0.4847%, 96.078%, and 0.4745%.
Keywords: Deep Belief Network, Matlab, Iris Recognition, Hough Transform, ScatT-Loop, LGP, Feature Extraction, Dougman’s Rubber Sheet Model, etc.
Scope of the Article: Deep Learning

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]]> B15050882S819 https://www.ijrte.org/portfolio-item/b15050882s819/ Tue, 16 May 2023 07:52:15 +0000 https://www.ijrte.org/?post_type=portfolio&p=40464 The post B15050882S819 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Multilane Detection Entropy-Based Fusion Model by using Iterative Seed and Optimized Deep Convolutional Neural Network
Suvarna Shirke1, R. Udayakumar2
1Suvarna Shirke, Research Scholar, Assistant Professor, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2Dr. R. Udayakumar, Professor and Supervisor, Department of Information Technology, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1967-1974 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B15050882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1505.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In today’s world, the conditions of road is drastically improved as compared with past decade. Most of the express highways are made up of cement concrete and equipped with increased lane size. Apparently speed of the vehicle will increase. Therefore there are more chances for accidents. To avoid the accidents in recent days driver assistance systems are designed to detect the various lane. The detected information of lane path is used for controlling the vehicles and giving alerts to drivers. In this paper the entropy based fusion approach is presents for detecting multi-lanes. The Earth Worm- Crow Search Algorithm (EW-CSA) which is based on Deep Convolution Neural Network(DCNN) is utilized for consolidating the outcomes. At first, the deep learning approaches for path location is prepared using an optimization algorithm and EW-CSA, which focus on characterizing every pixel accurately and require post preparing activities to surmise path data. Correspondingly, the region based segmentation approach is utilizing for the multi-lane detection. An entropy based fusion model is used because this method preserved all the information in the image and reduces the noise effects. The performance of proposed model is analyzed in terms of accuracy, sensitivity, and specificity, providing superior results with values 0.991, 0.992, and 0.887, respectively.
Keywords: Segmentation, Multilane Classification, Multilane Detection, Deep Convolution Neural Network (DCNN), Earth Worm- Crow Search Algorithm (EW-CSA), Driver Assistance System (DAS).
Scope of the Article: Deep Learning

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]]> B12040882S819 https://www.ijrte.org/portfolio-item/b12040882s819/ Tue, 16 May 2023 07:45:21 +0000 https://www.ijrte.org/?post_type=portfolio&p=40462 The post B12040882S819 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Hybrid Computational Intelligence Methods for Power System Optimization
Imran Rahman1, Junita Mohamad-Saleh2
1Imran Rahman, Department of Electrical & Electronic Engineering, Universiti Sains Malaysia (USM), Engineering Campus, Nibong Tebal, Pulau Pinang, Malaysia.
2Junita Mohamad-Saleh, Department of Electrical & Electronic Engineering, Universiti Sains Malaysia (USM), Engineering Campus, Nibong Tebal, Pulau Pinang, Malaysia.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1962-1966 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B12040882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1204.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The best economic interest and arranging of electrical network framework has constantly worried an important worry within the power designing. constant improvement inside the petroleum by-product advent, large interconnection of the electrical structures and electricity emergency in the world require the monetary hobby of devoted strength delivering gadgets. subsequently, it is critical to contemplate most gifted streamlining strategies by way of getting basic elements of interest of simple detailing and execution of precise problem. This paper gives a diagram of large half of of and half of of computational knowledge (CI) techniques connected in power framework improvement. one-of-a-type applications and inspirations riding the enhancements of half of and 1/2 CI techniques are accentuated. At final, some impending exploration regulations are proposed for the half of and 1/2 strategies improvement.
Keywords: Hybrid Computational Intelligence, Power System, Optimization, Algorithm.
Scope of the Article: Artificial Intelligence

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]]> B12060882S819 https://www.ijrte.org/portfolio-item/b12060882s819/ Tue, 16 May 2023 07:38:46 +0000 https://www.ijrte.org/?post_type=portfolio&p=40460 The post B12060882S819 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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A Robust Multimodel Biometric Crypto System
Komal1, Chander Kant2
1Komal, Ph.D Scholar, Department of Computer Science and Application, KUK, (Haryana), India.
2Dr. Chander Kant, Assistant Professor, Department of Computer Science and Application, KUK, (Haryana), India.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1953-1961 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B12060882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1206.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Biometric based authentication has several advantages over traditional password or PIN based authentication process because biometric is consists of physical or behavioural characteristics i.e fingerprint, face, Finger Knuckle Print (FKP), iris, voice etc. Unimodal biometric system h as some drawbacks i.e non universality, inter-class variation, intra-class variation; system can be circumvented by the skilled imposter etc. These drawbacks can overcome by multimodal biometric system as it combines more than one modality for authentication. When multimodal system combined with cryptography it makes system more robust and secure. In this paper, a robust multimodal biometric crypto system has been proposed, in which two modalities (FKP and face) are used for authentication of a person and one modality (fingerprint) is used for key generation. AES algorithm with fingerprint based key is used for securing the biometric templates. At authentication time, decision level fusion with AND rule is used for making the final decision. The proposed multimodal biometric crypto system is more robust and secure as compare with other multimodal biometric systems. Experimental results are shown with the help of MATLAB3. 2017b.
Keywords: Biometric Crypto System; Face Recognition; Finger Recognition; FKP Recognition; Multimodal Biometric System.
Scope of the Article: Image Processing and Pattern Recognition

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]]> B12050882S819 https://www.ijrte.org/portfolio-item/b12050882s819/ Tue, 16 May 2023 07:26:15 +0000 https://www.ijrte.org/?post_type=portfolio&p=40458 The post B12050882S819 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Error Correction codes Derived from Orthogonal Latin Square Codes
Ande Bhargav1, Y. Varthamanan2
1Ande Bhargav, Reseach Scholar, Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Dr. Y. Varthamanan, Associate Professor, Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1948-1952 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B12050882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1205.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The developments in IC technology and rapid increase of transistor densities and scaling factor, the use of ECC’s acquired prominence. Multiple bit errors in memories due to technology scaling demands advanced error correction codes. SEC-DEC, DEC, burst error detection, Golay code, Reed Solmon codes etc. have much decoding complexity and latency. The above drawbacks can be reduced with OLS codes. OLS codes with majority logic decoding technique, modular construction and simple decoding mechanisms it enables low delay improvements. MBU’S can be addressed using OLS-MLD codes. This paper presents a detail study of developments in multibit ECC’s using OLS-MLD mechanism.
Keywords: Component; Error Correction Codes; Single Error Correction – Double Error Detection; Orthogonal Latin Squares; Majority Logic Decodable.
Scope of the Article: Component-Based Software Engineering

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]]> B12030882S819 https://www.ijrte.org/portfolio-item/b12030882s819/ Tue, 16 May 2023 07:17:19 +0000 https://www.ijrte.org/?post_type=portfolio&p=40456 The post B12030882S819 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Temporal Frequency Spread of Plane Wave Propagation through Moderate to Strong Turbulence
Bing Guan1, Jaeho Choi2
1Bing Guan, Department of Information Engineering, Eastern Liaoning University, Dandong China.
2Jaeho Choi, Department of Electronic Engineering, CAIIT, Chonbuk National University, Chonju, Rep of Korea.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1944-1947 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B12030882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1203.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this study, we derive new expressions for the atmospheric-brought on frequency unfold of plane waves propagating thru slight to strong turbulence in a horizontal direction based on the modified anisotropic non-Kolmogorov electricity spectrum as antagonistic to conventional Kolmogorov electricity spectrum. The energy regulation price varies from three to 4 instead of the traditional Kolmogorov power law price; the general amplitude price differs from the conventional Kolmogorov regular cost 0.033. these new expressions are based on slight to robust fluctuation vicinity and anisotropic non-Kolmogorov turbulence. The simulation results show that temporal frequency unfold will decrease even as the anisotropic component 2 is increasing.
Keywords: Moderate To Strong Turbulence, Frequency Spread, Anisotropic Turbulence.
Scope of the Article: Frequency Selective Surface

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]]> B12020882S819 https://www.ijrte.org/portfolio-item/b12020882s819/ Tue, 16 May 2023 07:08:50 +0000 https://www.ijrte.org/?post_type=portfolio&p=40454 The post B12020882S819 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Issues in Lightweight Encryption Algorithm for mHealth
Tasnuva Ali1, A. H Azni2, Nur Hafiza Zakaria3
1Tasnuva Ali, Daffodil International University, Dhaka, Bangladesh.
2Dr. A. H Azni, Universiti Sains Islam Malaysia (USIM), Bandar Baru Nilai Malaysia.
3Nur Hafiza Zakaria, Universiti Sains Islam Malaysia (USIM), Bandar Baru Nilai, Malaysia.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1938-1943 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B12020882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1202.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The mHealth is the eventual future of the subsequent time of portable nicely being that may regulate the winning worldview of hobby and permit to decorate access of affected person’s’ data with specialists and human offerings ventures. The records safety of all layers of mHealth layout is taken into consideration as colossally noteworthy in view of searching after patients’ facts over remote medium. The essential issues of mHealth are the overall engineering, protection and safety problems with information execution, accessibility and dependability of the devices. in this way, it’s miles key to have a easy protection tool in mHealth format to decide each this type of confinements. furthermore, the cryptography can also additionally moreover prompt restriction the degree of misfortune carried out on sufferers’ records from unapproved customers but their usage in mHealth is as yet contested. finally, this paper examines the problems in lightweight encryption calculations to make a near studies amongst them with recognize to records safety in a long way off reputation layer. From the audit, the proposed calculation of 3-D RECTANGLE may offer higher determine protection for its pivot contrasted with distinct lightweight calculations. This near audit likewise finally finally ends up with some exploration bearings in mHealth cryptography for planning validated mHealth arrange in future.
Keywords: Phrases: Mhealth, Mild-Weight Set of Guidelines Assault, Safety.
Scope of the Article: Algorithm Engineering

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]]> B12010882S819 https://www.ijrte.org/portfolio-item/b12010882s819/ Tue, 16 May 2023 07:00:53 +0000 https://www.ijrte.org/?post_type=portfolio&p=40451 The post B12010882S819 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Designing Emotion Interface in E-Learning Application for Children
Magrizef Gasah1, Aslina Baharum2, Nurul Hidayah Mat Zain3
1Magrizef Gasah, Department of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia.
2Aslina Baharum, Department of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia.
3Nurul Hidayah Mat Zain, Department of Computer and Mathematical Sciences, Universiti Technology MARA (UiTM), Cawangan Melaka, Kampus Jasin, Merlimau, Melaka, Malaysia.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1932-1937 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B12010882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1201.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper demonstrates an outline of techniques in structuring enthusiastic interfaces for portable software. The skip for this paper is to analyze and alter a way, particularly as passionate interface method for making u.S.That could trigger customer’s sure feelings. The effective emotions evoked through the UI configuration ought to impacts clients’ popularity, for example, their advantage and interest any area the plan grow to be related in on line or transportable based. The approach comprise of 3 levels; level one is the shape of a calculated device, degree is the improvement of versatile software program, and degree three is the evaluation of the actualized theoretical tool in portable software program. Via adjusting the approach, the bendy application may additionally make powerful feelings within the course of youngsters studying process.
Keywords: Emotional, Interface, Methodology, Design, Emotion.
Scope of the Article: Application Specific ICs (ASICs)

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]]> B12000882S819 https://www.ijrte.org/portfolio-item/b12000882s819/ Tue, 16 May 2023 06:54:26 +0000 https://www.ijrte.org/?post_type=portfolio&p=40449 The post B12000882S819 appeared first on International Journal of Recent Technology and Engineering (IJRTE).

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Intrusion Detection System using Hybrid SVM-RF and SVM-DT in Wireless Sensor Networks
S. Prithi1, S. Sumathi2
1S. Prithi, Assistant Professor, Department of CSE, Rajalakshmi Engineering College, Chennai (Tamil Nadu), India.
2Dr. S. Sumathi, Professor, Department of EEE, PSG College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1926-1931 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B12000882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1200.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Intrusion detection system (IDS) is one of the essential security mechanisms against attacks in WSN. Network intrusion detection system (NIDS) generally uses the classification techniques in order to obtain the best possible accuracy and attack detection rate. In this paper, Intrusion Detection System is designed which uses two-stage hybrid classification method. In the first stage it uses Support Vector Machine (SVM) as anomaly detection, and in the second stage it uses Random Forest (RF)/Decision Tree (DT) as misuse. The abnormal activities are detected in the first stage. These abnormal activities are further analyzed and the known attacks are identified in the second stage and are classified as Denial of Service (DoS) attack, Probe attack, Remote to Local (R2L) attack and User to Root (U2R) attack. Simulation results reveal that the proposed hybrid algorithm obtains better accuracy and detection rate than the single classifier namely, SVM, RF and DT algorithm. The experimental results also shows that hybrid algorithm can detect anomaly activity in a reliable way. Proposed technique uses the standard NSL KDD dataset to evaluate/calculate the performance of the proposed approach. Here the results show that the proposed Hybrid SVM-RF/DT IDS technique performs better in terms of detection rate, accuracy and recall than the existing SVM, RF and DT approaches.
Keywords: Intrusion Detection System, Network Attacks, Support Vector Machine, Wireless Sensor Network.
Scope of the Article: Wireless ad hoc & Sensor Networks

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