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Kelengkapan unsur isi jumal (10%) 3,00 3,00 3,00b.
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Stress Analysis of Lower Limb Exoskeleton for Walking Assistance using Finite Element Method 3 orang (Rifki Atmaja Munadi, Mohammad Tauvioirrahman)
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Scopus
Document details
References (5)
1 of 1
Stress analysis of lower limb exoskeleton for walking assistance using finite element method
(Article), ,
Mechanical Engineering Department, Engineering Faculty, Diponegoro University, Indonesia
Abstract
Lower limb exoskeletons are well-known as powerful tool to help therapists in the patient rehabilitation who have suffered from neurological situations. In the present study, the design of the walking assistance lower limb exoskeleton is developed. The main object of this work is to carried out the stress analysis of such design using finite element analysis (FEA). FEA based commercial software ABAQUS is used. The simulation results show that the developed design of lower limb exoskeletons is safe for walking assistance. This result can be a guide to make a reliable design of exoskeletons. © Research India Publications.
SciVal Topic Prominence
Topic:
Prominence percentile: 99.200
Author keywords
Exoskeleton Finite element analysis (FEA) Paraplegic Stress
Kim, J.-H., Han, J.W., Kim, D.Y., Baek, Y.S.
(Open Access)
(2013) International Journal of Advanced Robotic Systems, 10, art. no. 113. .
doi: 10.5772/55336
Shaari, N.L.A., Md Isa, I.S., Jun, T.C.
(2015) ARPN Journal of Engineering and Applied Sciences, 10 (19), pp. 9140-9149. .
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International Journal of Applied Engineering Research Volume 12, Issue 13, 2017, Pages 3864-3866
Atmaja, R. Munadi Tauviqirrahman, M.
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Patient rehabilitation | Robotics | Extremity exoskeleton
ISSN: 09734562 Source Type: Journal Original language: English
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Design of a walking assistance lower limb exoskeleton for paraplegic patients and hardware validation using CoP
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Torque analysis of the lower limb exoskeleton robot design
Cited 5 times http://www.arpnjournals.org/jeas/research_papers/rp_2015/jeas_1015_2850.pdf
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Hongseok Choi, Department of Mechanical Engineering, Clemson University, 205 Fluor Daniel Bldg.
Clemson, SC 29634 USA
Ling Zhou, National Research Center of Pumps, Jiangsu University, No.301 Xuefu Road, Zhenjiang, Jiangsu 212013, China
Area of Interest : Fluids Engineering, Multiphase flow, CFD (Computational Fluid Dynamics).
Dr. Jongwan Kim, Al-Farabi Kazakh National University, Almaty, Kazakhstan, Senior Lecturer Area of Interest : Computer and network security, it management, digital forensics, cryptocurrency, blockchain
Marlen Bissaliye, Al-Farabi Kazakh National University, Almaty, Kazakhstan, Senior Lecturer
Area of Interest : Computer and network security, it management, digital forensics, cryptocurrency, blockchain
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International Journal of Applied Engineering Research (IJAER)
Volume 12, Number 13 (2017)
C ONTENTS
Accident Detection and Response System with Error Avoidance pp. 3562-3565
Mochitha Vijayan, ChakshuIshan Kaplas and Samhita Ganguly
Fuzzy I+PD controller for stiction compensation in pneumatic control valve pp. 3566-3575
Pardeep Rohilla, Vineet Kumar and Feras Al Hakkak
Pressure Drop Measurements of Oil (D80)-Water Flow in 6” Horizontal and Inclined Annulus Pipe
pp. 3576-3589
Mehaboob Basha, Syed. M. Shaahid, A. Ahmad, A. M. Al-Sarkhi, Luai M. Al-Hadhrami Mujahid O. Elobeid, J. J. Xiao, Rafael Lastra, Chidirim E. Ejim and Saudi Aramco
CONSTRUCTION-DURATION PREDICTION MODEL FOR RESIDENTIAL BUILDINGS IN SLOVAK REPUBLIC BASED ON COMPUTER SIMULATION
pp. 3590-3599
Daniela Mackovaa, Maria Kozlovskaa, Renata Baskovaa, Marcela Spisakovaa and Katarina Krajnikovaa
Applied Management Support for an Efficient WSN Infrastructure pp. 3600-3608
Nilayam Kumar Kamila and Sunil Dhal
An Efficient DDoS Attack Detection Mechanism Based on Distributed Self Organizing Map pp. 3609-3615
Yang-Ick Joo and Minho Park
Modifying the Structures of Composite Grouts with Aluminosilicate Nanotubes pp. 3616-3621
Marina Panfilova, Nikolay Zubrev and Valentina Kashintseva
Low-Cost Implementation of P&O MPPT based on Microntroller PIC16F877A pp. 3622-3630
Mhamed Rebhi, Ali Benatiallah and Mebrouk Sellam
A Study on Modeling and Controlling Bead Height in the Robotic GMA Welding pp. 3631-3638
Marina Panfilova, Nikolay Zubrev and Valentina Kashintseva
Connection of Odkvist Parameter and Values of Microhardness when Hardening by Plastic
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Deformation pp. 3639-3644
OlgaV. Pilipenko, Sergey Y. Radchenko, Daniil O. Dorohov, Igor’ M. Gryadunov
Efficiency of Operation and Functioning of the System of an Indirect Transport Flow Regulation and Control
pp. 3645-3652
Sultan V. Zhankaziev, Aleksandr N. Novikov, Andrey I. Vorobyev, Andrei V. Kulev and Dmitry Yu. Morozov
Definition of Accuracy of Qualitative Correspondence Matrixes for Indirect Traffic Flow Control and Regulation
pp. 3653-3658
Sultan V. Zhankaziev, Aleksandr N. Novikov, Andrey I. Vorobyev, Andrei V. Kulev and Dmitry Yu. Morozov
Experimental Investigation on Compressive Strength of Geopolymer Concrete Paver Block pp. 3659-3664
K. Ashok Kumar and P. Partheeban
FPGA Implementation of Ripple Carry and Carry Look Ahead Adders Using Reversible Logic Gates
pp. 3665-3670
K. Rajesh and G. Umamaheswara Reddy
Optimization of Injection Molding Process Parameters to Improve Mechanical Strength of LFT Specimen
pp. 3671-3676
Jae KyungKim and Euy Sik Jeon
Performance Analysis of Photovoltaic Module at changing Environmental condition using Matlab Simulink
pp. 3677-3683
Arjyadhara Pradhan and Bhagbat Panda
Amplifier Stability in the Case of Non-Linear Inductive Loads pp. 3684-3689
Azhagan AVR, Anto Nivin . M, Godwin Sylvester, Romano Giannetti and S. Saraswathi Janaki
Optimal Reactive Power Dispatch Using Moth-Flame Optimization Algorithm pp. 3690-3701
P.Anbarasan and T. Jayabarathi
Development of Cluster Routing protocol in Homogeneous networks for Randomly Deployed MSN in WSNs
pp. 3702-3707
T Kamal Raj, T.V Ananthan and R. Balakrishna
Optimal Placement of Unified Power Quality Conditioner using Ant Lion Optimization Method
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pp. 3708-3713
M. Laxmidevi Ramanaiah and M. Damodar Reddy
Time-Frequency Analysis of Non-Stationary Waveforms in Power-Quality via Synchrosqueezing Transform
pp. 3714-3718
G. Sahu and A. Choubey
Design of Hand Tractor-trailed Biogas Sludge Applicator and Its Performance on Indonesian Dry Land
pp. 3719-3723
Ary Mustofa Ahmad, Zaenal Kusuma, Bambang Suharto and Sugeng Prijono
F2F: Friend-To-Friend Semantic Path Recommendation pp. 3724-3729
Mohamed Mahmoud Hasan and Hoda M. O. Mokhtar
The Effect of Electrical Variables on Hydrogen and Oxygen Production Using a Water Electrolyzing System
pp. 3730-3739
HananSaleet, Salah Abdallah b, and Essam Yousef c
Saudi Arabia License Plate Detection based on ANN and Objects Analysis pp. 3740-3751
Alaa M. Abbasa and Amr E. Rashidc
Query by Singing/Humming System Based on Deep Learning pp. 3752-3756
Jia-qi Sun and Seok-Pil Lee
Reliability Based Design Optimization of BGA Electronic Packages using the Kriging Substitution Model
pp. 3757-3766
Om. Bendaou, M. Agouzoul, A. El Hami and Ot. Bendaou
Data Filtering Using Reverse Dominance Relation in Reverse Skyline Query pp. 3767-3772
Jongwan Kim
Mobile Augmented Reality Media Design with Waterfall Model for Learning Geometry in College
pp. 3773-3780
Achmad Buchori, Punaji Setyosari, I Wayan Dasna and Saedah Ulfa
Improving Productivity of Industrial Soda-Filling Machine using PLC Programming pp. 3781-3783
Kyung Won Kima, Haider Alia, Muhammad Usman Javaida, Jae Sik Kimb, Jong Yun Choic and Cheol Woo Parka
Fano Resonance and EIT-like effect based on 4x4 Multimode Interference Structures pp. 3784-3788
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Duy-Tien Le and Trung-Thanh Le
Generalized Analytic Solutions of The Unsteady Krook Kinetic Model for a Rarefied Gas Affected by a Nonlinear Thermal Radiation Field by using Mean Value Theorem
pp. 3789-3800
Al-Kashif, M. A., Elagan, S.K. and Sayed, M.
Evaluation of Performance of Cast and Laser-Sintered cr-co Alloys for Dental Applications pp. 3801-3809
Lucia Denti
Stability of Queues in Multi-User Cognitive Radios pp. 3810-3816
V.Hamsadhwani, Arun Pachai Kannu and K. Lakshmi
Experimental Study on Digital Twin Spark Ignition Gasoline Engine at Different Gasoline- Methanol Blends
pp. 3817-3821
Divakar Shetty A S and Antony A J
Conservative Spatial Reuse Routing in Multi-Hop Cognitive Sensor Networks pp. 3822-3827
K L Arun Kumar, P V Nageswara Rao and Arjun Atreya V
Investigative Modelling of Behaviour of Expansive Soils Improved using Soil Mixing Technique
pp. 3828-3836
Eyo Umo Eyo, Samson Ng’ambi and Samuel Jonah Abbey
An Enhanced Harmony Search Algorithm Based Power Flow Solution to Non Convex Load Dispatch Problem
pp. 3837-3843
DSNMRAO and Niranjan Kumar
Effect of Blending Temperature and Blending Time on Physical Properties of NRL-Modified Bitumen
pp. 3844-3849
Mohd Amin Shafii, Calvin Lai Yew Veng, Nuryantizpura Mohamad Rais and Amminudin Ab Latif
Provide Safety in School Children’s Vehicle in Urban Environments using Navigation system
pp. 3850-3856
Paparao Nalajala, K Madhavi, Bhavana Godavarthi and M B Naga Aditya
Removal of Phenol from Wastewater Using tea waste and optimization of conditions using response surface methodology
pp. 3857-3863
C R Girish, Purushottam Singh and Ashish Kumar Goyal
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Stress Analysis of Lower Limb Exoskeleton for Walking Assistance using Finite Element Method
pp. 3864-3866
Rifki Atmaja., Munadi and Mohammad Tauviqirrahman
Comparative Study of Routing Protocols Performance for Vehicular Ad-hoc Networks pp. 3867-3878
Zineb Squalli Houssaini, Mohammed Oumsis, Imane Zaimi and Saïd El Alaoui Ouatik
Social Spider Algorithm-based Spectrum Allocation Optimization for Cognitive Radio Networks
pp. 3879-3887
Binh Thanh Dang, Minh Cong Vo and Tung Khac Truong
Evaluating the Reliability and Quality of Examination Paper for Multi-tier Application Development Course using Rasch Measurement Model
pp. 3887-3893
Zuhaira Muhammad Zain
Design Concept of Strengthen and Ability Development at Naval Operation/ Information System to Supporting Archipelagic Sea Defence Strategy
pp. 3894-3903
I Nengah Putra A., Abdul Hakim, Sholeh H. Pramono and Amin S. Leksono
A Study on Characteristics of Automotive Electromagnetic Control Valve(ECV) pp. 3904-3907
Uiro Park and Haengmuk Cho
Trust Evaluation Scheme for Cloud Data Security using Fuzzy based Approach pp. 3908-3913
Muthusenthil Balasubrmanian and Hyunsung Kim
Hydrogen Purification Using Natural Pahae Zeolit and Cocoa Rind Based Filter pp. 3914-3918
Susilawati, Tulus Ikhsan Nasution, Fynnisa Zebua and Hamonangan Nainggolan
Groundwater and Dependent Ecosystems: Revealing the Impacts of Climate Change pp. 3919-3926
Karim M. Morsy, Ahmad Alenezi and Duaij S. AlRukaibi
DBSCAN-D: A Density-Based Clustering Method of Directionality pp. 3927-3932
Joasang Lim, Joongjin Kook and Jinman Kim
Cryptanalysis on Efficient Two-factor User Authentication Scheme with Unlinkability for Wireless Sensor Networks
pp. 3933-3937
Hae-Won Choi and Hyunsung Kim
Thermogravimetric Analysis (TGA) Study: Exploring the Reason of Increased Mass of CNF/PTFE Composite with Temperature at Higher Weights of CNF
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pp. 3938-3940
Sarita Chandra, Fateh Singh Gill and Preeti Garg
Seniors in the Czech Republic and Modern Information Technologies pp. 3941-3943
Pala David, Lukas Urbancok and Ivan Kovar
Using of Inputs and Outputs on Microcontrollers Raspberry and Arduino pp. 3944-3949
Michal Sustek, Miroslav Marcanik and Zdenek Urednicek
Hidden CP-ABE to Enhance Patient Data Privacy in Smart Healthcare Systems pp. 3950-3960
Pallavi Ashok Patil, Shruti Patil and Shashank Joshi
OptimizedWavelet Filters and Modified Huffman Encoding-based Compression and Chaotic Encryption for Image Data
pp. 3961-3977
Renjith V Ravi and Kamalraj Subrahmaniam
Simulation of Auxetic Behavior in Planar Random Steel Fiber Networks pp. 3978-3987
Mehmet Seha Tatlier and Umut Aksu
Soft Computing Techniques to Estimate FIR Filter Weights in an Adaptive Channel Equalizer: A Comparative Study
pp. 3988-3995
Rashmi Sinha and Arvind Choubey
Texture Feature Based Satellite Image Classification Scheme Using SVM pp. 3996-4003
Anita Dixit, Nagaratna Hedge and B. Eswar Reddy
Performance Analysis of Hexagonal Node Design For Packet-Switched NoC on FPGA pp. 4004-4008
Shilpa K Gowda and Rekha K.R.
Pursuance Assessment and Discharge Characteristics Studies of Compression Ignition Diesel Engine by using
pp. 4009-4014
V. Thanigaivelan, M. Loganathan and C.G. Saravanan
COVERED: Content-Version based Removal of Duplicates pp. 4015-4022
Jyoti Malhotra and Jagdish Bakal
Corrosion Behavior of Inconel 600 Ni-based Alloy pp. 4023-4028
Sang-An Ha, Jin-Sung Lee, Dong-Kyun Kim and Jei-Pil Wang
Low Voltage Low Power Folded Cascode OTA Design For RF Applications
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pp. 4029-4034
Sawssen Lahiani, Houda Daoud, Samir Ben Selem and Mourad Loulou
Building Secretkey Based Virtual Machines in Cloud Computing to avoid Vulnarabilities in Hypervisors
pp. 4035-4043
A. Praveen, M. Nagalakshmi, G.Sreenivasa Yadav and M.Thukaram Reddy
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International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 13 (2017) pp. 3562-3565
© Research India Publications. http://www.ripublication.com
3562
Accident Detection and Response System with Error Avoidance
Mochitha Vijayan1, Chakshu Ishan Kaplas2 and Samhita Ganguly3
1Department of Computer Science and Engineering, S.R.M. University, Chennai, Tamil Nadu, India.
2Department of Computer Science and Engineering, S.R.M. University, Chennai, Tamil Nadu, India.
3Department of Electronics and Communication Engineering, S.R.M. University, Chennai, Tamil Nadu, India.
Abstract
Accidents have been a major issue faced worldwide creating a huge social and economic loss. Accident Detection and Response System(ADRS) is an auto-detection system inside a Vehicle, based on a microcontroller platform, that detects the type of accident, performs error check and notifies a central control system, based on Matlab, which intimates nearest Health Care worker, Ambulance, Hospital, Police and Vehicle Owner Contact through a text message in case of an accident.
This System proposed aims at reducing delays in accident response, brings in accountability to the system as well as avoid delays caused by ignorance of accident situation by public resulting in delayed reporting of accident to authorities, which is a persistent problem in developing and under developed nations.
Keywords: Accident detection, Automated Accident response, Vehicle SoS, Road Safety Automation
INTRODUCTION
In India, Central Government's report indicated a figure of 1,46,000 deaths due to road accidents in the year 2015.[6]
Government report agrees that there are huge time delays between the occurrence of accident till the arrival of any first – aid service. Another major issue, also studies and reported by BBC suggests that people in India are afraid to report an accident considering intimidation from police and long-hurl judicial procedures. Accountability in Hit and Run cases which, according to central government’s report touch the figure of 55,000 every year is still very weak.
In Developing and Under developed nations we lack a basic accident response infrastructure especially in tough terrains and solitary areas. Many cases have been observed in Himalayan states of India like Himachal, Uttarakhand where for more than 24 hours, it was not even known that a vehicle fell of into a gorge. In other cases, authorities were notified about the accident beyond 3 to 4 hours when the debris was seen by a local resident. These 3 – 4 hours may be the deciding factor between life and death of the victim. Due to lack of first aid
itself, many fatalities occur which could have otherwise been avoided.
Using this ADRS System, we can inform control centres about any major road accident immediately. We can perform simultaneous checks over the data collected through the sensors to predict the type of accident, transmit vehicle’s id which enables authorities to know probable number of victims, details of probable victims like Medical History/Blood Groups etc.
These inputs could help authorities device a plan of action for efficient relief as well as keep the medical services prepared.
Nearest available ambulance and health centre workers can be rushed to site for the first aid within minutes of accident saving numerous life. The data generated would also be used to identify accident prone locations to suggest safety measures for the same to authorities responsible and for ambulance positioning.
Since most of the developing and under developed nations aren’t equipped with cameras on highway, vehicle tracking systems and other electronic instruments to be used for accident detection, this system also aims at bringing accountability in case of delayed response by emergency services. It can help in bringing accountability to hit and run cases by recording even the minor incidents which can help immensely in investigations.
RELATEDWORK
This section describes the related work done in the field of accident detection and response. Researchers have been exploring similar fields of research as to ADRS system. The idea has been discussed on many occasions but lack of implementation as well as design according to geographic and demographic requirements has not been seen.
The Lexus 2014 models are equipped with a new feature called the Lexus Enform [3]. A feature called the Safety Connect detects an accident through a force sensor at the rear end of the and sends an automatic notification to the response service center through the
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 13 (2017) pp. 3879-3887
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3879
Social Spider Algorithm-based Spectrum Allocation Optimization for Cognitive Radio Networks
Binh Thanh Dang
Faculty of Information Technology, Industrial University of HCMC, Ho Chi Minh City, Vietnam.
Minh Cong Vo
Faculty of Computer Science, University of Information Technology, Faculty of Information Technology, Industrial University of HCMC,
Ho Chi Minh City, Vietnam.
Tung Khac Truong Faculty of Information Technology,
Industrial University of HCMC, Ho Chi Minh City, Vietnam.
Abstract
In recent years, applying intelligent algorithms in solving hard problems has become a favorite topic in next generation networking research. Although classical methods have achieved many important outcomes, this new trend promises significant results. This paper addresses the spectrum allocation problem in Cognitive Radio Networks (CRN), in which we proposed a new solution based on Social Spider Algorithm (SSA) to search for the optimal allocation scheme. The numerical results prove the superior of our approach in comparison to other methods.
Keywords: Spectrum allocation; optimization; cognitive radio networks; swarm-based algorithm
INTRODUCTION
In recent years, wireless spectrum allocation optimization has become a favorite topic in next generation networking research [1]. Traditionally, the spectrum is managed by the state and regulations, in which the major approach is constructing a fixed allocation system. As an apparent result, the main drawbacks of this tactic are low utilization of the bandwidth, waste of sparse or unassigned channels while others are so crowded and lead to undesired interference level in the current communication channel. Those disadvantages may not be a serious problem in the past, but with the rapid growth in the quantity of the wireless devices connecting to the network, which is forming the Internet of Things (IoT), the situation has changed dramatically, where unoptimized utilization of the spectrum resources are not acceptable any more. Cognitive radio [2][3][4] is commonly
considered to be the solution for the case: it promised more intelligent spectrum allocation schemes in a more dynamic and fruitful style.
As time goes by, many proposals to solve the spectrum allocation problem have been presented [5]. In [6], the authors investigated the influence of multi-cell, multi-operator interference on the wireless resources in case many operators co-exist and consume a shared spectrum repository. Moreover, they suggested a framework designed to improve the bandwidth utilization while providing a reasonable QoS degree by ensuring only a slight interference level among operators.
Another approach is using intelligent algorithms to search for the optimum allocation scheme, as implemented in [7], [8], and [9]. The identical idea appeared in these works are using swarm- based algorithms to carry out a global search for the best answer satisfying a pre-defined threshold. In this paper, we propose a centralized optimal spectrum allocation (COSA) scheme that is possible to satisfy QoS requirements, which were described in [10], at a better degree than previous solutions. Meanwhile, we also present a modified version of Social Spider Algorithm (SSA) [11] to benefit its ability in allocation matrix decision optimization. The rest of this paper consists of below parts.
Firstly, related works are described in part 2. Then, Cognitive Radio Networks Spectrum Allocation Problem (CRNSAP) is mentioned in part 3. Afterwards, part 4 presents our proposed SSA-based spectrum allocation scheme, where major modifications in the algorithm to support cognitive radio networks are clarified. Our simulation preparation process and numerical results are discussed in part 5. Eventually, conclusions and future considerations are provided in the last section.
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 12, Number 13 (2017) pp. 3927-3932
© Research India Publications. http://www.ripublication.com
3927
DBSCAN-D: A Density-Based Clustering Method of Directionality
Joasang Lim1, Joongjin Kook2 and Jinman Kim3*
1Intelligent Engineering Informatics for Human, Sangmyung University, Seoul, Korea.
2Korea Electronics Technology Institute, Seoul, Korea.
3Intelligent Information Technology Research Institute, Sangmyung University, Seoul, Korea.
(*Corresponding Author)
Abstract
This research proposed DBSCAN-D, which is a clustering technique for locating POI based on the prior density-based clustering studies. Our method analyzed 'staying time' and 'directionality' of the GPS track logs. The staying time was the intervals between two locations where GPS was obtained.
Directionality was the direction toward the coming position from the previous one, obtaining by analyzing the sequentially generated GPS data. The proposed DBSCAN-D used these two attributes to cluster the POIs from the routes of the moving objects.
Keyword: Clustering, DBSCAN, Density, POI, GPS
INTRODUCTION
Recently, the spread of mobile terminals such as smart phones and the development of communication techniques such as GPS (Global Positioning Systems) and WSN (Wireless Sensor Networks) has enabled many different ways of acquiring the tracking information of a moving object. The moving object may easily produce the spatio-temporal data set of positions and locational shapes continuously over time. Moreover, with the increasing use of location-based services (LBS) in various applications, interests have been growing to extract meaningful information from these logs.
The location-based service tracks the up-to-date positions of a mobile terminal using a mobile communication network or a satellite signal, and provides various contextual services. So, normally included in the system nowadays are wireless positioning gadgets for locating mobile terminals, LBS server technology for providing core infrastructure technology for services, and various LBS applications [1].
Currently, many smartphone applications provide services based on user`s location information directly or indirectly.
These services mostly use POI information. POI (Point Of Interest) is a combination of two things: (1) a real world in which a person is interested, or a specific location on a map or a drawing, (2) the location information of a nearby road
building [2]. The most common way of expressing a POI is to select locations either well-known or where many people are gathered. The next step is to extract the POI directly from location data such as GPS. Also, the method is existed for expressing the POI by combination these two methods [3].
In previous works, the method for finding meaningful places in trajectory data of moving objects has performed such as the distance-based clustering using mean shift [4] and clustering using K-means [5]. The previous clustering has been most commonly performed using data density. The density-based technique assumes that clusters are regions of high density separated each other in space. In other words, the clusters can be identified by looking at their density and if they can be separable from each other. Through the above mentioned method, clusters of various shapes and sizes can be easily extracted. However, the density-based cluster method has two problems. Firstly, the density-based cluster method varies in shape depending on the selection of parameters used for cluster determination. Moreover, when a group with density difference exists in a data set, the probability that a group with a relatively high density is recognized as a cluster can be lowered [6].
DBSCAN [7] is a representative technique of density-based clustering. Since the introduction of this technique, many studies have attempted to solve the problems of density-based clustering. However, most studies focused on cluster extraction and how to create clusters in a data set. We attempted to overcome the cluster extraction problems and suggested a newly designed clustering method of DBSCAN-D to find POIs from the location data sets generated from moving objects. The proposed method used the spatio-tempral data sets of GPS routes with directionality.
RELATED WORK A. DBSCAN
DBSCAN was first proposed by Ester, Kriegel, Sander, and Xu [7] as a density-based cluster technique. It was assumed that the cluster is a high-density region separated by the object density