bluuebunny/crossref_metadata_2025 huggingface dataset:
Rohingya Crisis: a Possible Threat to the Character Strengths of Indians
Authors: Chaube Nandita , . .
Published: April 2019

The current study focuses on the influence of Rohingya crisis on the character strengths of Indian citizens. The study explains about the Rohingya crisis and its origination. It is discussed in the study that how chaotic conditions in Myanmar resulted in the exodus of Rohigya muslims from the country who are infiltrating neighbouring countries which are best approachable to them. Countries which are the signatories of UNHCR are supposed to allow them to enter their country but India not being a signatory of the same should not be forced to do that. However, the debate is still continuing on this issue referring few acts which support the permission to refugees to enter our country. In such circumstances Rohingyas are struggling for their livelihood and survival and getting involved in many antinational and anti-social activities. Consequently the legal citizens of India are substantially suffering and facing threat to develop their character strengths. The circumstances specially affecting the character strengths of   forgiveness, social intelligence, kindness, humour, love and modesty etc. because their main focus is on the fulfilment of their daily necessities, based on the resources and peaceful social environment which is getting disturbed because of the Rohingya influx. This is resulting in the chaotic conditions in the society which are not letting the legitimate citizens of India to achieve mental peace and grow themselves from inside which is very important to strengthen the character strengths within ourselves. The current paper explains these issues in detail to generate a deep insight among the Indian citizens and to help Government of India in making decisions on this matter.
The Introduction to Self-Reflection through Sociolinguistics
Authors: Zainal Shah Norshima , Saayah Ismail Amnah , Samad Norlela
Published: April 2019

Reflection is a powerful thinking tool. This action research aims to introduce reflective thinking to 32 students undertaking the Sociolinguistics course. The students were introduced to seven selected teaching activities such as using short stories, writing  journal article review, writing a report after an interview and producing a video, to name a few during the course. At the same time, the students were exposed to a series of reflective thinking activity following the Model of Holistic Reflection. They consistently wrote about their reflections and answered a questionnaire on their learning experience. The planned activities gave the students a chance to put sociolinguistics theory into practice and was most apparent in the activity of interviewing a friend of another ethnicity and producing a short video where both activities were rated as the most liked and enjoyable activity in the course. The students proposed several interesting alternatives to make lessons better according to their preferences. Overall, through reflective thinking, the students demonstrated their ability to transform what they have learned into everyday practice. Additionally, the lecturer also benefited from students’ feedback in planning and improving the course. More invaluable data can be obtained in utilising the methodology used in this study to teach other courses in the future.
Symmetrical Information Disclosure for Investors’ Investment Decisions
Authors: Abu Hasan Norraidah , Azuddin Yakob Noor , . .
Published: April 2019

Information disclosure is crucial in the financial market that allow investors to understand the current and future performance of companies and help them in their investment decisions. This paper aim to examine the importance of information disclosure to safeguard the investor investment. This paper will refine the theoretical background of agency theory associated with the information disclosure. The findings of this paper provide a new dimension of symmetrical information disclosure with the aim to sustain a firm in the financial market and enhance investors’ confidence.
Customer Loyalty and its Influence on Price Wars’ Intensity in the Indonesian Lighting Industry
Authors: Edwinarto Dominicus , Arief Muhtosim , Alamsjah Firdaus , Heriyati Pantri
Published: April 2019

Several aspects of consumer behavior can increase the likelihood of price conflicts where organizations are subsequently influenced to engage in price wars. As the main aspect of business activities relates to the success of financial transactions, customer loyalty and price sensitivity becomes a decisive factor that defines market characteristics in the long run. Using quantitative survey data from respondents in the Indonesian lighting industry, this research is aimed to generate an understanding of how practitioners view their customer’s characteristics in relation to competitive interaction. The study found that within the context of competition, firms regard loyalty and sensitivity to be influenced by sufficient acceptance of price positioning strategies.
Microstrip Line Fed Fractal Monopole Antenna with Defected Ground Structure
Authors: S. Mohan Reddy S , M. Vinod Kumar M , Sanjay B , Aruna Kumari K , V. S. Padma Rao G
Published: April 2019

This paper presents a wideband polarized antenna that is designed and analyzed for the cellular communication applications. The proposed antenna is designed with the coplanar wave guide feeding (CPW) by using the RT/ duroid 5880 material with a dielectric constant 2.2. It is observed that in the proposed model the return loss is -21.40dB for ungrounded CPW where as for the grounded CPW the loss is reduced to -39.13dB. The gain for the ungrounded CPW fed antenna is 2.95 dB and is enhanced to 3.2dB with  grounded CPW structure. It is observed that there is an improvement in the bandwidth upto 6.03 GhZ for grounded CPW when  DGS is applied. The antenna designing and simulation is done using ANSOFT HFSS software.
Multi criterion Analysis for Ground water Potential Zones along River Gostani and surroundings of Visakhapatnam, Andhra Pradesh, India.
Authors: M.Ganesh K , Jai Sankar G , Jagannadha Rao M , C.S.V. Prasad A
Published: April 2019

The present study is to make an analysis of the groundwater potential zones along Gostani river and the nearby areas.  The data is collected from the field concern department and through internet to make a study.  For the study seven parameters have been taken into consideration like geology, geomorphology, drainage, slope, soil, land use / land cover and lineaments.   Thematic maps prepared and reclassified under Geographical Information System (G.I.S) environment.  Weightage for each theme and its classes have been allocated by making use of weighted overlay analysis and then Analytical Hierarchical Process in Arc G.I.S. so as to find out the result.
Rock Physics Modeling Assisted Reservoir Properties Prediction: Case Study in Malay Basin
Authors: Abbas Babasafari Amir , Ghosh Deva , M. A. Salim Ahmed , Y. Moussavi Alashloo S
Published: April 2019

Shear velocity log is not measured at all wells in oil and gas fields, thus rock physics modeling plays an important role to predict this type of log. Therefore, seismic pre stack inversion is performed and elastic properties are estimated more accurately. Subsequently, a robust Petro-Elastic relationship arising from rock physics model leads to far more precise prediction of petrophysical properties. The more accurate rock physics modeling results in less uncertainty of reservoir modeling. Therefore, a valid rock physics model is intended to be built. For a better understanding of reservoir properties prediction, first of all rock physics modeling for each identified litho-facies classes should be performed separately through well log analysis.
Development of Graphene Reinforced Metal Matrix Composite by Spark Plasma Sintering
Authors: Gao Fei , Choi Yongbum , Dobashi Yosuke , Matsugi Kazuhiro
Published: April 2019

In order to obtain the high performance materials with high thermal conductivity, high　electrical conductivity, low thermal expansion, good mechanical properties and low density, Graphene has higher thermal conductivity comparison with other ceramic particle. In this study, graphene dispersed aluminum (Al) composites was developed by spark plasma sintering. Volume fraction of graphene were 10, 20 and 30 vol.%. Fabrication conditions of graphene dispersed aluminum (Al) composites were temperature of 813K and applied pressure of 80 MPa. As composite properties are affected by the dispersibility and volume fraction of the graphene particles, the relationship among the dispersibility of dispersant and the thermal conductivity and mechanical properties was investigated.
Electrical and Protrusion Stimulation System for Braille Recognition Training
Authors: Jeong Hakyeong , Hwang Myungin , Yeom Hojun
Published: April 2019

As the number of blind people increases due to acquired factors, the necessity of a device capable of recognizing the braille quickly and accurately has been increased, and research is underway to develop a braille device for enhancing the readability of the braille. This study suggests a system to increase the recognition rate of braille by fusing visual information through tongue electrical stimulation device and Braille output device based on the protruding tactile sensation based on the method of applying electrical stimulation to the tongue. In particular, considering Korean Braille characteristics and Braille recognition error, we propose a system to increase the Braille resolution by separating the consonants into protruded Braille output devices of servo motor type and Braille output device of electrical stimulation type.
Effects of Accreditation Program on Leadership, Organizational Culture, Activity and Performance of Hospital Management
Authors: Sik Woo Jung , Hoon Kim Young , Sung Kim Han , Jung Kim Hyo
Published: April 2019

This study aimed to look into changes in patient safety of medical institutions and improvements in the quality of medical services with the implementation of the accreditation program and investigate the influences and relationships of the leadership, organizational culture and hospital management activity in accredited medical institutions with their management performance perceived by workers at the accredited hospitals. To summarize the results of the study, there were significant impacts of the accreditation program on the increase in the efficiency of the hospitals and the promotion of the spirits of employees. But referring to the finding that it did not have any significant influence relationship with the increase in their income of medical treatment or cost reduction. Political alternatives from financial perspective should be prepared in order to attract spontaneous participation in the accreditation of the medical institutions in the future.Â Â
A Generation System of Multiple Choice Questions Using Idioms with Multiple Component Keywords
Authors: Lee Jae-Young , . .
Published: April 2019

In order to alleviate the burden for the time-consuming and tedious tasks to make multiple choice questions, we proposed the system that generates multiple choice questions from the sentence with multiple component keywords and then relocates the questions selected by an array with random numbers instead of random functions in order to reduce the relocation time, after the system searches for the group of informative sentence with multiple component keywords by using special idioms. In this paper, the idiom is the CRm type idiom that has several components at the right side of this idiom including in a main informative sentence. The next sentences consist of other informative sentences including the components keywords. To make multiple choice questions, the system randomly selects an informative sentence including a component keyword and it also converts the informative sentence into a question. The selected component keyword is used as the correct answer and the three other component keywords are used as distractors. To produce many different questions about the same contents with different positions of the question and items, the system uses a random number array to reduce the relocation time.Â Â
Eslba Load Sharing Technique for Reputation Manager in Multiple Gateways
Authors: John Paul Antony T , P. Victor S
Published: April 2019

Every node has the states of its neighbors such as Selfish, Unselfish and No Information state. The selfish node free path is constructed by avoiding selfish node in the route discovery process. Watch Dog mechanism helps to avoid such issues. Price and Reputation system (P&RS) helps to diminish the selfish nodes in a successful manner. Trustable node with low portability will go about as a Notoriety Manager and it keeps every one of the records of every node in a record system. The overload of RA leads to various problem and makes the communication very slow. In this paper we discuss about the RA affiliation and request in various possible ways. RA sends the affiliation to the nearest relay node to act as a RA for few nodes. Moreover we discuss the RA communication with Internet through Gateways and the load balancing algorithm – Energy Share Load Balancing Algorithm (ESLBA). The heap adjusting algorithm shares the heap between the nodes and channelizes the ideal course smarterly.
Groundwater Quality Assessment for Irrigation in Madhavaram
Authors: Sivakumar D , Govindasami S , Raghul Raj B , Gowdham C , M. Ragothaman V
Published: April 2019

The study focused to assess the groundwater in Madhavaram, Chennai, Tamil Nadu, for irrigational purposes. Irrigation indices like SAR, SSP, PI and KR was determined in each groundwater sample to identify its irrigational suitability. This study further envisaged that these groundwater aquifers have low Sodium adsorption ratio and hence groundwater is fit for irrigation, while residual sodium bicarbonate and Kelly’s ratio values indicated that majority of these aquifer have water of marginal to harmful quality against irrigation. The dominance pattern of cations in the studied ground water was in the order of Na > Ca > Mg > K and the sequence of anionic dominance was as follows: Cl > HCO3 > SO4. All 20 wells fall under the excellent category of SAR. SSP values of groundwater range from 49 to 71 and indicated that 15 wells are under permissible and 5 wells are under doubtful classification.  PI value indicated that groundwater is unsuitable against irrigation.  The KR indicated that groundwater quality in 18 wells is not fit for irrigation.  Hence, necessary pre-treatment methodology is to be adopted for utilizing groundwater for irrigation purpose.
Optical Flow Approach Followed by SVM Classification Model to Recognize Abnormal Behavior of a Crowd
Authors: G.M Basavaraj , Ashok Kusagur Dr
Published: April 2019

A many of researches have been carried out in the field of the crowd behavior recognition system. Recognizing crowd behavior in videos is most challenging and occlusions because of irregular human movement. This paper gives an overview of optical flow model along with the SVM (Support Vector Machine) classification model. This proposed approach evaluates sudden changes in motion of an event and classifies that event to a category: Normal and Abnormal.  Geometric means of location, direction, and displacement of the feature points of each frame are estimated. Harris corner Detector is used in each frame for tracking a set of feature points. Proposed approach is very effective in real time scenario like public places where security is most important. After analyzing result ROC curve (receiver operating characteristics) is plotted which gives classification accuracy. We also presented frame level comparison with Ground truth and social force model (SFM) techniques. Our proposed approach is giving a promising result compare to all state of art methods.
Analysis Methodology of Inelastic Constitutive Parameter Using State Space Method and Neural Network
Authors: Lee JoonSeong , . .
Published: April 2019

Background/Objectives: In this paper, we present a method for describing a set of variables of an inelastic constitutive equation based on state space method (SSM) and neural network (NN). The advantage of this method is that it can identify the appropriate parameters.Methods/Statistical analysis: Two NNs based on SSM are proposed. One outputs the ratio of inelastic strain for the internal parameters of the material, and the other is the following state of the inelastic strain ratio and material internal variable. Both NNs were trained and successfully collected using input and output data generated by Chaboche 's model.Findings: As a result, previous NNs have demonstrated their validity as a powerful material model. However, the training data for the proposed NN can’t be easily obtained from actual experimental data. Previous neural networks can reproduce the original stress-strain curves. The NNs also produced untrained curves to demonstrate interpolation capabilities. It was also found that the NNs can be estimated to be close to training data. The author defines the implicit constitutive model and proposes the implicit viscous constitutive model using NNs. In modeling, inelastic behavior is generalized in state space representation, and the state space form is constructed by NNs using an input-output data sets. The proposed model was first created from the pseudo-experimental data generated by one of the commonly used configuration models and has been found to be a good replacement for the model. The actual experimental data was then tested, and the proposed model showed the accuracy of its superiority over all existing specified models because the amount of model errors was negligible.Improvements/Applications: The comparison between the NN constitutive laws   with the Chaboche’s model indicates that the NN constitutive law generated curves with less model errors than the experimental data, thereby indicating the superiority of the neural constitutive law to explicit constitutive laws as a material model.
Multi-Agent -Master Resource Finding Engine for Fast and Efficient Dynamic Resource Finding in Cloud Computing
Authors: Muthulakshmi B , Somasundaram K
Published: April 2019

Resource finding is an enormous and tedious task in the cloud environment. There are various protocols suggested in existing approach to deal the resource finding. But from job scheduling to resource identification none of the approaches is available for best. It leads to a tailoring of functionalities in different phases like job scheduling, resource finding and resource identification. This paper analyses the automation from the job scheduling phase to resource allocation phase which includes, semantic model, optimization, Master Resource Finding Engine (MRFE). A decision-making mechanism called adjudicator is a control unit which collects input from all the above-said phase models and provides the best and efficient resource to the requirement. In this paper, a new model is provisioned to attain all the phases explained above and compared with resource simulations. The results were analyzed in terms of quality of resource, performance, resources acquired, patterns considered for semantic finding, interactive jobs, a workload of resources in normal and peak timeÂ
Iaas: Qos based Automated User Requirement Identification for Optimal Resource Allocation in Multi Cloud
Authors: S.Guruprakash K , Fiaz.A.S Syed , Sankar S
Published: April 2019

Resource allocation and optimization is one of the important characteristics in cloud computing environment. An vital goal of any cloud service provider is to allocate cost effective and optimized resource packages to the consumers that meet the QOS (Quality of Service) requirements.Â  Though the various set of cloud resources are available, selecting an appropriate resource to the consumers based on their requirements is a tedious task for any providers. Many researchers have already discussed different algorithms for finding the optimal resources to the consumers. However there is a challenge in selecting exact resources that meet QoS Parameters such as performance, availability, reliability and so on. This paper proposes an effective method for optimal resource allocation in multi cloud environment.Â  This approach takes an input, set of QOS parameter value for each user and select the suitable package that matches the QOS value. This paper provides an effective resource allocation solution to IaaS (Infrastructure as a Service) provider based on consumers usage patterns.
Transformer less 1Î¦ Inverter for Grid-Connected PV Systems with an Optimized Control
Authors: Baldwin Immanuel T , Muthukumar P , Gnanavel C , Rajavelan M , Marimuthu M
Published: April 2019

This paper investigates the transformerless single-phase inverter incorporates with the photovoltaic system along with the support of grid voltage. Solar Energy is a Non-Conventional Energy source which is mandatory for power generation due to their immeasurable parade and green pleasant nature. One-cycle control (OCC), Ruggedness and consistency which makes the interfacing with the grid easily. For grid interfacing, the inverter circuit does not need phase locked loop facility and are gradually being working for such solicitations. The strategy of the OCC inverter of one stage for solar PV applications is supported by means of a Sinusoidal Pulse Width Modulation to enhance inverter enactment at both low and high insolation levels. These factors allows the plan of a MPPT along P&O controller that pointedly progresses inverter playacting. Though, the OCC-based structures testified previous sensing of the grid voltage which slightly equalizers the strength of its characteristics, In order to dazed the restriction of prior researches, an One Cycle Control based grid-connected one-stage PV system is suggested. The sustainability of the suggested scheme is inveterate by performance simulation justification.
Frequent Updater for Health Monitoring System Using Raspberry Pi
Authors: Selvarathi C , Sujatha R
Published: April 2019

In the advancement of Internet technologies all machineries are inter related. Using the technology improvement, we can make many things in high effective and simple for human life. There are several places of Internet of Things (IOT) is used. Such as smart environment, smart home, smart city, smart parking, agriculture fields and medical fields.. In this paper, monitor patientâ€™s heart rate, body temperature, Respiration rate and body movements using Raspberry Pi . After connecting Internet to the Raspberry Pi board it act as a server.. If these parameters are goes to abnormal, it will automatically sends alert message to the doctor. The data send by Raspberry pi is stored on a server. The detailed information of patients and doctor registered through website on stored on server. The people to check health status with help of sensors and patients to access the website from anywhere. In Wireless Sensor Network for acquire the convenient patientâ€™s physiological signal using Raspberry Pi.Â
Comparative Study on EDM of Ti-6Al-4V Using Circular and Convex Shaped Electrodes
Authors: Rajamanickam S , Palani R , Sathyamoorthy V , Jagadeesh Varma Muppala , Shaik Mahammad Althaf Shaik , Michel Thilak Antony
Published: April 2019

As on today, Electrical Discharge Machining (EDM) is world famous unconventional machining process for electrically conductive materials. In this project work, Ti-6Al-4V is performed in electrical discharge machining using differently shaped (circular and convex) copper electrode. The machining parameters considered are the pulse on- time, pulse off-time, voltage and current to investigate machining characteristics like material removal rate and tool wear rate. Taguchi method is applied to frame experimental design. Ti-6Al-4V finds wide usage in industrial applications such as marine, aerospace, bio-medical and so on.Â
Priority based Dynamic Resource Allocation and Scheduling for Wimax Networks
Authors: P. Sudha Ms. , A. Rengarajan Dr
Published: April 2019

WiMAX network provides effective internet communication between users with low expense and ease of deployment. It is used efficiently in small to medium enterprises. However, proficient resource allocation and scheduling is still a critical requirement in WiMAX networks due to the varying factors related to the network communication. If the network resources are not appropriately allocated, then there are possibilities for missing out critical data, or wasting more resources on transmitting less important data which in turn will have adverse affect on data transmission in the future stages. Hence, in this paper, we propose to develop a Priority Based Dynamic Resource Allocation and Scheduling for WiMAX Networks. In this technique, the incoming data are dynamically allocated, and then users are prioritized to identify the critical users. The allocation and scheduling is performed by considering user priority, robustness and also power consumption rate to ensure effective network performance.Â
Implementation of Unconstrained Chair-Type Smart Health Management Monitoring System
Authors: Yun Seo Ji , Hong Noh Yun , Un Jeong Do
Published: April 2019

Modern people spend many hours of daily life, such as study and work, to the sitting position with chairs and sofas.  If you sit for a long time with a wrong posture, musculoskeletal system disorder can occur and distraction due to low concentrations. In this research, we implemented the chair-type smart health management monitoring system which provides the user with the traditional functions of the chair more effectively and also enables various health management functions. For this reason Three load cells (SB S - beam load cell, 100 kgf) were arranged in an equilateral triangle shape between the top plate and the lower plate of the chair to construct a control section. In addition, we designed a measuring section composed of a filter and an amplifier so that we can simultaneously measure weight signal and BCG. We implemented an information-based posture discrimination algorithm of weight information and a distraction estimation method and implemented a PC and Android-based smartphone monitoring system. We conducted two experiments to evaluate the performance of the implemented system. First of all, in order to evaluate the performance of the posture discrimination algorithm, nine postures were obtained for 10 test subjects in an arbitrary order. As a result of comparing arbitrary posture and posture discrimination results, it showed discrimination performance of 97.9%. Finally, experiment was conducted to confirm the usefulness of the discrimination of distraction in daily life. The experimenter checked the change of the indicator according to the posture change during audiovisual data appreciation. Distraction continued changing posture as a result of confirming the image of the section where the numerical value is high, and confirmed that it is not concentrating on the image. The implement system can help not only health care function in daily life, but also to induce proper posture and improve sitting habit. In future studies, we intend to conduct a research to objectively demonstrate the usefulness of the Distraction estimated index.
Image Denoising in Wavelet Domain with Filtering and Thresholding
Authors: Sumathi K , Hima Bindu Ch
Published: April 2019

In this paper, the proposed method is implemented for removal of salt & pepper and Gaussian noise of black & white & color images toacquire the quality output. In this work initially wavelet coefficients are extracted for noisy images. Later apply denoise filteringtechnique on the high transform sub bands of noisy images (either color/ B & W) using new laplacian filters with 4 directions. Finallythreshold of an image is generated to extract denoisy coefficients. At last inverse of above subband coefficients can give denoise imagefor further processing. The proposed method is verified against various B & W/color images and it gives a better PSNR (Peak Signal toNoise Ratio) & MI (Mutual Information). These values are compared with different noise densities and analyzed visually.
Characterization of Brass/Steel Plates Joined by Friction Stir Welding
Authors: K Mariyappan. , K Praveen , Kumar.S Suresh , K Kadambanathan. , S Rajamanickam. , R Vignesh.
Published: April 2019

The aim of this study is to show the feasibility for butt joining dissimilar brass to austenitic stainless steel plates by Friction Stir Welding. In this study, the limited FSW parameters were employed. Metallurgical characterization like Scanning Electron Microscopy and Mechanical characterization like tensile test, Micro hardness is done to investigate the joint performance and the weld zone of dissimilar brass/steel joints. The tensile strength and micro hardness values are 20 MPa, 122 MPa and 157 MPa and 175 Hv, 196 Hv and 199 Hv for the table traverse speeds of 40 mm/min, 50 mm/min and 60 mm/min respectively. The tensile strength of dissimilar brass/steel joint was found to be lower than that of parent metals. The defect free brass/steel interfaces were seen by Scanning Electron Microscopy. It was illustrated that the stirred zone exposed to two main structures namely, recrystallized grains of brass and intercalated swirl and vortex-like structure which can be characterized both the recrystallized brass grains and steel layers. This work is one of the preliminary studies on the detailed examinations of the dissimilar brass/steel joined by Friction stir welding.
An Improved and Adaptive Attribute Selection Technique to Optimize Dengue Fever Prediction
Authors: Mishra Sushruta , Kumar Tripathy Hrudaya , Ranjan Panda Amiya
Published: April 2019

Clinical information mining is rapidly gaining popularity. Restorative information are high dimensional in nature which contains unessential elements that diminish prediction capability. Hence Attribute Optimization is required to retain only the essential features while eradicating irrelevant features. Dengue is one of the major worldwide medical related disease. It has affected millions of people throughout world while a majority of them being women. With constant upgradation of information technology and its application in healthcare domain, several cases relating to diabetes along with its symptoms are properly documented. Our study is centered on developing and implementing a new Adaptive and Dynamic Attribute Optimization algorithm to determine whether patients suffer from Dengue. Our algorithm is evaluated against some vital performance metrics and compared with other sub-modules of the proposed algorithm and traditional Genetic Algorithm. The results indicate our algorithm is more efficient and accurate in determining presence of Dengue disease. This may assist the medical experts in effective diagnosis of patients suffering from Dengue.Â Â
PAPR Analysis of Fifth Generation Multiple Access Waveforms for Advanced Wireless Communication
Authors: Mahender Kommabatla , Anil Kumar Tipparti , S Ramesh K
Published: April 2019

This paper describes the aspects of multiple access for emerging (5G) Wireless Communication Systems. Orthogonal Frequency Division Multiplexing (OFDM) is best suited for fourth generation (4G) but it suffers from the problem of high Peak to Average Power Ratio (PAPR) & Side band leakage. Single carrier frequency division multiple access (SC-FDMA) has worked like an alternative to OFDMA only in the uplink process and PAPR was reduced. OFDM based 4G network is not capable of supporting diverse applications and these applications can be implemented by 5G.Â  High traffic requirements of 5G can be evaluated by using multiple access schemes, namely filter-bank multi-carrier (FBMC), universal-filtered multi-carrier (UFMC), generalized frequency-division multiplexing (GFDM). Comparison of PAPR reduction is done based on Complementary Cumulative Distribution Function (CCDF), for various multiple access 5G waveforms.Â Â
Interpolation Techniques in Image Resampling
Authors: S Malini Manjunatha. , Patil M
Published: April 2019

The procedure of converting a sampled image from any coordinate structure to other structure is called Image Resampling. When forgeries are introduced in digital images, generally the operations like rotation, resizing, skewing etc., are included to make it relational with respect to adjacent original area.Â  So there is a recognizable loss in the quality of the image and it will become an important signature of manipulated images. Hence resampling is the default interpretation present in most of the tamped image. Resampling detection is an attractive standard tool in digital image forensics. Generally resampling objects are not visible to human eye in an altered images but periodic relationships get familiarized in image pixels. Because of it the changes is going to happen in certain characteristics of the image and it is going leaving behind periodical artifacts which are used as fingerprints for the forensics. These periodic interpolation objects present in the intensities of pixelsÂ  or other format of data illustration such as DFT, wavelet are the structures which detectors look for in order to decide whether an image, or a part of an image, has endured a geometrical transformation. This serves as an evidence of manipulation or tampering. This paper gives comparative study of different resampling techniques like Cubic Splines, Nearest Neighbor, Cubic convolution and Linear Interpolation, which can be used as detectors for an altered image containing resample portionsÂ
The Research on Security Technology for Low-Performance Iot Sensor Node
Authors: Ju Youngkwan , Jin Mun Hyung
Published: April 2019

Background/Objectives: IoT developmental background: IoT, which is the key technology in the fourth industrial revolution, utilizes the Internet. Particularly, the growth of convergence products that utilize it has been constant with the demands of IoT services using the network of the Internet.Methods/Statistical analysis: IoT network consists of products equipped with various sensors to communicate; sensor nodes are made up of low volume memory, low performance CPU, and battery when they are used in the network. There has been the demand of secure transmission of information measured by a sensor node to the IoT platform. We conduct a study on how we can improve security in the IoT environment.Findings: Generally, sensor nodes are applied with basic security provided by IoT communication protocol rather than their own encryption. Therefore, sensor nodes are vulnerable in terms of security and the IoT platform that utilizes information collected by them would process distorted information.In order to draw a strategy to prevent security breach, we analyze security threat and the type of attacks.Improvements/Applications: We suggest a countermeasure to deal with security threat of sensor nodes and situations in which sensor nodes are vulnerable in IoT environment. To secure integrity of communication and transaction between a sensor node and an IoT platform in the future, the application of block chain technology into the IoT environment is necessary.Â
Functional Adaptability Essence of Hindu Rituals and Architectural Elements of Traditional Domestic Buildings in Kerala: Excerpt from the Vedas
Authors: Choyimanikandiyil Kala , . .
Published: April 2019

The four knowledge texts of Hindu religion known as Vedas mainly include praises to God, daily rituals and other aspects such as Medicine, Architecture, food habits, personal duties etc.Â  The paper enumerates the various codified principles of food intake during various seasons and daily rituals adopted by a Hindu in ancient Kerala.Â  The author tries to find the importance of thermal balance of the human body that has been maintained through these codified living habits of a Hindu in Kerala which are based on the Vedas.Â  The paper also inevitably looks into the thermal properties of building and architectural elements described in the Vastusastra which are practised in the traditional Hindu domestic buildings in Kerala state in South India.Â  The paper concludes by stating that the food habits, rituals and building construction methods practised according to Hindu customs of Kerala closely link to the original Vedic texts.Â  Most importantly these sustainable practices were found to suit the adaptability of humans with the climate pattern of coastal Kerala towards attaining thermal comfort.Â Â
Cold LOGIK and RDHX Solution for Data Center Energy Optimization
Authors: Suresh T , A. Murugan Dr
Published: April 2019

In all types of data center, keeping the right temperature with less cost and energy is one of important objective as energy saving is crucial in increased data driven industry. Energy saving is global focus for all industry. In Information technology, more than 60% of energy is utilized in data centers as it needs to be up and running. As per Avocent data center issue study, across globe more than 54% of data centers are in redesigning process to improve their efficiency and reduce operational cost and energy consumption. Data center managers and operators major challenge was how to maintain the temperature of servers with less power and energy. When the densities of data center energy nearing 5 kilowatts (kW) per cabinet, organizations are trying to find a way to manage the heat through latest technologies. Power usage per square can be reduced by incorporating liquid-cooling devices instead of increasing airflow volume. This is especially important in a data center with a typical under-floor cooling system. This research paper uses Rear-Door Heat eXchangers (RDHx) and cool logic solutions to reduce energy consumption. It gives result of implementation of Cold Logik and RDHx solution to Data center and proves that how it saves energy and power. Data center has optimized space, cooling, power and operational cost by implementing RDHx technology. This will enable to add more servers without increasing the space and reduce cooling and power cost. It also saves Data center space from heat dissipation from servers.
Expert Finding in Community Question-Answering for Post Recommendation
Authors: Kumar Akshi , Raj Sangwan Saurabh
Published: April 2019

Community question answering system is a perfect example of platform where people participate to seek expertise on their topic of interest. But information overload, finding the expertise level of users and trustworthy answers remain key challenges within these communities. Moreover, people do not look for personal advices but expert views on such platforms therefore; expert finding is an integral part of these communities. In order to trust someone's opinion who is not known in person by the users of the community, it is necessary to find the credibility of such person. By determining expertise levels of users, authenticity of their posts can easily be determined. Also, by identifying experts, each expert will be shown relevant posts to indulge in so that he can use his knowledge and skills to give valid and correct answers. For users too, it will be easy to find reliable answers, once they get to know the expertise level of the answerers. Motivated by these facts, we put forward a framework for finding experts in online question answer community (stackoverflow) referred to as Expert Recommender System which uses a well-recognized global-trust metric, PageRankTM for finding experts in the community building a Trust-based system and then uses collaborative filtering to find similar experts based on their level of expertise and their topics of interests to a particular user. Once we have the top- k similar experts to a given expert, that expert is recommended with posts to collaborate upon, based on activities done by his top-k neighbor experts. The framework is evaluated for its performance and it clearly indicates the effectiveness of the system.
A System on Intelligent Driver Drowsiness Detection Method
Authors: Mohan Kumar Ugra , Singh Devendra , Jugran Sudhir , Punia Pankaj , Negi Vinay
Published: April 2019

We actualized a fatigue driver recognition framework utilizing a mix of driver's state and driving conduct pointers. For driver's express, the framework observed the eyes' blinking rate and the flickering span. Fatigue drivers have these qualities higher than ordinary levels. We utilized a camera with machine vision procedures to find out and watch driver's blinking behavior. Harr's feature classifier was utilized to first find the eye's range, and once found, a layout coordinating was utilized to track the eye for fast preparing. For driving conduct, we gained the vehicle's state from inertial measurement unit and gas pedal sensors. The principle component analysis was utilized to choose the components that have high change. The difference esteems were utilized to separate weakness drivers, which are accepted to have higher driving exercises, from typical drivers.
Classification of Reviews on Mobile Phones Using Text Mining Techniques
Authors: Davis Livin , Vaidhehi V
Published: April 2019

People register their opinion or feedback regarding the products in different forum. This research work is based on the classification of reviews regarding the different mobile phones. Dataset from Amazon pertaining to the opinions for mobile phones is used in this work. Opinion which is expressed as text is classified as positive opinion or a negative opinion using text mining techniques. Opinion mining helps to understand the customers in a better way. This work shows the visual representation of words by using word cloud and to classify the reviews on a two point scale. From the dataset, randomly 197 reviews are taken out of which 148 reviews are classified as positive, 49 reviews are classified as negative.
Fiber Bragg Grating and Channel Spacing Effect in WDM Radio over Fiber System Using DPSK Modulation Format
Authors: Ahmed Mahmood Hussein , Khlf Ahmed Riyadh
Published: April 2019

Fiber Bragg Grating (FBG) is distributed reflector written in short length of optical fiber to reflect specific wavelengths of light and transmit the other components of spectra. By using FBG method in dispersion compensation can boost significantly the system performance. High capacity transmission and low effective cost of Radio over Fiber technique (Rof) are resulted from the combination of the optical communication capacity and the mobility of wireless networks. In this research article, an investigation of radio over fiber transmission for 50 km-long optical fiber operated at 10 Gb/s data rate and modulated under efficient DPSK modulation technique. The effect of Fiber Bragg Grating as chromatic dispersion compensation and channel spacing in WDM on optical communication system is analyzed and evaluated. The system performance is evaluated in terms of eye diagram. The outcomes of our simulation shows that Four unequal spacing channels radio over fiber system with ideal dispersion FBG has the best performance in terms of Q-factor and BER.
Impact of Supervision and Supervisor Capability on the Construction Supervision in Enrekang
Authors: Guli Mulyadi , Halim Paisal , Badruddin Syamsiah , . Hartono , A. Abdullah Hasim , Ikhsan Setiawan Muhammad , Saleh A A
Published: April 2019

The aim of this study is to determine the influence of supervisory mechanism and supervisor capabilities, either in group or individually on the effectiveness of physical development supervision in Enrekang District. The results showed scores for supervisory mechanism and supervisor capability were good. The result of statistical analysis shows that there is a significant influence on the supervisory mechanism and the ability of the supervisor on the effectiveness of the supervision of physical development in Enrekang District, either partially (individually) or simultaneously (together).
Different Structural Modification Methods of the Patch for Reducing the Size of An Microstrip Patch Antenna
Authors: Ferdous Nayla , Chin Hock Goh , Hamidah A. Hamid Saidatul , Nazri Abdul Raman Mohamad , Sieh Kiong Tiong , Ismail Mahamod
Published: April 2019

The aim of this paper is to present a simulation and analysis of a rectangular microstrip patch antenna with three different structural modifications to reduce the size of the antenna. We have tried to decrease the size of the antenna by inducing three different shaped slits inside the patch of the antenna. All these models have been designed and analyzed using CST Microwave Studio software. For designing the antennas, Flame Retardant 4 (FR-4 lossy) has been used as the substrate material with a dielectric constant of Ԑr=4.3. The antenna works at the frequency of 2.4 GHz. Performance characteristics such as return loss S11 parameter<-10 dB, directivity, side lobe level, gain and bandwidth of each of the modified designs are obtained and compared with the original design. We were able to reduce the size by maximum 18% and minimum 7% by only inducing the slits, while maintain the performance.
Development of an Asset Management System Integrated with GIS and K-Means Algorithm for Large Industrial Area
Authors: Athoillah Ibid , Pratiwi Firda
Published: April 2019

The large industrial area has more than a thousand assets that make asset management activities to become more challenging. However, the current asset management in several industrial companies still records the asset information in paper-based documents. Therefore, the technical problems found in current practices in the field are the difficulties in determining the actual position of assets and which group of asset belongs accurately.  To overcome those problems and to improve the asset management activities, an asset management system using GIS (Geographic Information System) and K-Means Algorithm is proposed. GIS to visualize the asset coordinate and condition on a geographical map, manage and store the assets detail information and K-Means Clustering Algorithm to cluster the assets based on their coordinate and simplifies the scattered asset. The system is developed using the Waterfall model. The system is native applications built using electron framework and can be accessed within industrial area network only, to keep the user convenience and security of asset data. The Leaflet used as interactive map software frameworks to visualize the industrial map, manage the geospatial data and mapped the industrial asset, including machinery, equipment, land, and building. For the initial operation, the system contains more than 700 assets data with 6 categories and 4 clusters. This system improves the assets accuracy, reduces the time of asset management practices, and the asset clusters can be used as decision support for industrial asset management activities.
Religious-Nationalist Character Building Model on Pondok Pesantren based School to Reduce Radicalism in Kendal Regency, Central Java Provinces
Authors: . Sriyanto , Kurniawan Edi , Suharini Erni , Junior Trimasukmana Danang
Published: April 2019

Globalization has made the boundaries between countries and territories are blurred, this is due to the increasing of the population transfers between regions of the state. This condition makes the positive mean taken as easy to find cooperation network and job opportunity, but on the other hand also become a threat to the integrity of a country. The threat generally comes from the many ideologies and cultures that enter into a country, thus undermining the ideology of the country of origin. The main objective of the research is to develop a model of religious nationalist characteristic of schools based on boarding schools, like the pondok pesantren where the model can be accepted as an educational medium to reduce radicalism in Indonesia that usually under the guise of religion. The research uses research and development method which is preceded by observation,and interviews with students, cottage and school managers, and stakeholders of pondok pesantren in pesantren based school in Kendal Regency to know the condition of social life and there policy, and then create database. The main outcome of this study is the guidebook on the model of religious nationalist characterization, which is expected to be a new innovation in character building strategies in pesantren-based schools that are expected to answer the challenge of danger of radicalism under the guise of religion. It also produced scientific articles published in international and national journals as an effort to socialize the model.