bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal Learning for Urban Delivery Fleet Allocation
Authors: Huang Yixiao , Zhao Lei , Powell Warren B. , Tong Yue , Ryzhov Ilya O. 
Published: April 2019

In a two-tiered city logistics system, an urban logistics company usually partitions the urban area into regions and allocates its delivery fleet (e.g., vehicles, couriers) to these regions. On a daily basis, the delivery station in each region receives the delivery packages from the city distribution centers and delivers them to customers within the region, using its allocated delivery vehicles. A tactical decision in such a city logistics system is the allocation of its delivery fleet to the regions to minimize the expected operational cost of the entire system. However, because of the complexity of the urban delivery operations and the day-to-day variance of the customer demand, an accurate evaluation of the expected operational cost associated with an allocation decision can be very expensive. We propose a learning policy that adaptively selects the fleet allocation to learn the underlying expected operational cost function by incorporating the value of information. Specifically, we exploit the monotonicity of the expected operational cost in the number of allocated delivery vehicles in a region and extend the idea of knowledge gradient with discrete priors with resampling and regeneration (KGDP-R&R). Our numerical results demonstrate the effectiveness of KGDP-R&R against other learning policies as well as its managerial implications compared with heuristics in practice. The online appendix is available at https://doi.org/10.1287/trsc.2018.0861 .
Investigation of flexural and impact strength of carbon nanotube reinforced AA7075 metal matrix
Authors: Kasi V Rao Pothamsetty , Raghu Kumar B , Sudheer Kumar B , Phanindra Swamy G , Ganga Raju Y , Sajjad Ali Khan P 
Published: April 2019

Metal matrix nano-composites are grabbing more attention by many researchers in the recent years as they exhibit outstanding properties when compared to pure metal alloys. In the present study Aluminium Alloy 7075 was selected as the matrix and carbon nanotubes was selected as reinforcing element to investigate the percentage enhancement of flexural strength and impact strength of metal matrix composite. Stir casting process was selected to fabricate the specimens. The multi walled carbon nanotubes with different weight percentages (0.5, 1.0, 2.0, 5.0 wt %) were selected to prepare the AA7075-CNT metal matrix composite. Microstructure and dispersion of CNT was examined using Scanning Electron Microscope (SEM) with EDX. The experimental results of mechanical tests showed that if the MWCNTs particle content increases considerably flexural strength and impact strength also increases about 125% and 90% respectively. Thus the AA7075-CNT metal matrix can be used in automobile and aerospace applications under high load conditions.
A Study on Multiple Crew Based Productivity Scheduling Method in Construction Projects
Authors: J Rajprasad , V Thamilarasu , Lokesh Kumar Reddy C 
Published: April 2019

The development construction assumes a critical part in any developing nation. Now a days time, cost and productivity of project had become primary concern of all the construction projects so in order to tackle the time, work and resource productivity in the scheduling works. There is most likely that development is a key movement inside any economy; it impacts, and is affected by, the country's (GDP).The objective to investigation and find out the RII to identify rank of factor to influence multiple crew based productivity scheduling for construction projects on Chennai. To achieve this objective, 30 productivity scheduling factors of multiple crew which are grouped as seven groups: a)design and planning engineer crew ,b).engineering crew, a) construction supervisor crew, d) labour crew, e) fabrication crew, f) safety crew, g)quality crew and this are done by the questionnaire survey and representative by the statistical approach. The factors which effects on multiple crew based productivity scheduling are investigated and top 10 are the most critical factors which are given as follows: (1) Shortage of labours , (2) Shifting methods ,(3)Financial issues ,(4)Workmanship , (5) Insufficient lighting ,(6)Distribution of skill labour, (7) Skill of labour, (8) Weather conditions, (9) Preparing and assigning the resources ,(10) Length of working day. Despite the fact that the results of this investigation in factors affecting on multiple crew in the construction companies in Chennai to fill a gap of knowledge used by construction industry members to construct up a more deeper and wider viewpoint of the issues affecting the productivity of crew, and give direction to engineers, managers, experience persons of multiple crew force for effective utilization, consequently help with accomplishing a realistic level of effectiveness and financially effective activity.
Study of Optimum Cutting While Lathing Carbonate Steel VCN-150 Uses a Layered Carbide Chisel PVD on Dry and Wet Condition
Authors: R. Harahap Muksin , Bakhori Ahmad , Napid Suhardi , Rafiq Yanhar Muhammad , Hasibuan Abdurrozzaq 
Published: April 2019

To improve the productivity of this machining perhaps it may be recommended in a dry cutting but a dry cutting is recognized very sensitive to a high temperature. In this case, in order to overcome is perhaps required by using a tool carbide either in layers or without any layers whereby each layer has certain superior. There was conducted an experiment to have an optimum cutting on a carbon steel VCN-150 using a layers tool carbide and Respond Surface Method (RSM) with a CCD operation. The result of study recommended that condition optimum cutting shall be achieved (When cutting tc ) on a medium machining refers to ISO 3685 and medium surface roughness (Ra ) ISO 1320. Statistically, there is no found significant difference between a dry and wet cutting on optimum dry condition.
Development of Indonesian Literature Textbook with Character Education Through Information and Communication Technology (ICT) Learning Based
Authors: Winarni Retno , Y. Slamet St. , Saddhono Kundharu 
Published: April 2019

The objectives of this research were: (1) to describe the students’ and teachers’ needs on Indonesian literature textbook with characteristic education using ICT learning based, (2) to describe the development of Indonesian literature textbook model using ICT learning based, (3) to describe the effectiveness of the textbook using ICT learning based, 4) to describe the result of textbook dissemination using ICT learning based. The type of research used was research and development proposed by Borg and Gall. Research which was done through 4 stages, namely: (1) exploration, (2) model development, (3) model testing, and (4) dissemination. The exploratory stage used a qualitative descriptive approach. Data collection was done through document study, observation, interview, and questionnaire. Data analysis technique used was interactive analysis model. Model testing was done through experimental research. The results of this research were: (1) exploration stage showed that Indonesian literature textbook used in Public Elementary School 15, Public Elementary School 02 Kleco, and Public Elementary School 2 Sumber Surakarta had not been in accordance with the students’ and teachers’ needs, (2) Indonesian textbook was developed through preliminary field testing; and (3) model testing phase was done through experimental research in the main field testing. The value of tobtained (0.43) was then consulted to the value of ttable (with N = 90, α = 0.05) which was 1.64 so critical area {t <-1.64 or t> 1.64}. It could be concluded that tobtained (0.43) < ttable, as a result, H0 was accepted and the research was stated significant. In conclusion, Indonesian textbook with character education was effective to improve students' receptive skills.
Context Awareness Technology Using Parallel Mining for Ambient Assisted Living System
Authors: Vivek J , Maharnisha Gandla , Roopesh Kumar Gandla , Karun Sagar Ch , Arunraj R 
Published: April 2019

In this paper, context awareness is a promising technology that provides health care services and a niche area of big data paradigm. The drift in Knowledge Discovery from Data refers to a set of activities designed to refine and extract new knowledge from complex datasets. The proposed model facilitates a parallel mining of frequent item sets for Ambient Assisted Living (AAL) System [a.k.a. Health Care [System] of big data that reside inside a cloud environment. We extend a knowledge discovery framework for processing and classifying the abnormal conditions of patients having fluctuations in Blood Pressure (BP) and Heart Rate(HR) and storing this data sets called Big data into Cloud to access from anywhere when needed. This accessed data is used to compare the new data with it, which helps to know the patients health condition.
Geometrical behavior of laminated graphite/epoxy composite using hypermesh
Authors: Siva RamaKrishna Ch , Subba Rao KV , Arji Saineelkamal 
Published: April 2019

The laminated composite material is made of ply which are specically used in automotive, aerospace and military applications due to less in weight and high strength to weight ratio. The role of structural strength is very important in composites, as the material is weak in inherent strength leads to damage of equipment made with the laminated composite. Hence, an accurate understanding of their structural geometrical behavior for residual stresses is required, such as residual stresses with different aspect ratios. In present work, various aspect ratios of laminated composite and its residual stresses are investigated using finite element analysis. The numerical results showed, on the residual stresses, that the effects the change the residual stresses due change of aspect ratio of laminated Graphite/epoxy composite.
Improved Despeckle Filtering Technique for Liver Cirrhosis US Images
Authors: Rajesh G , Selwin Mich Priyadharson A 
Published: April 2019

The liver ultrasonic (US) images suffer from inherent speckle noise, degrading the image quality; thereby, affecting human interpretation and also reducing the accuracy in computer-assisted diagnostic techniques. In this paper, we propose an improved despeckle filtering technique by combining, maximum homogeneity over a pixel neighborhood filtering (MHON) and speckle-reducing anisotropic diffusion filtering (SRAD) using a binary classifier map (BCM). The textural and fine details of residual image are denoised by SRAD filtering. The SRAD filter denoised image and MHON filter denoised image combines to attain BCM. A BCM is generated by examining the local coefficient of dispersion (CoD) assessed using a kernel with the one obtained from a specific region. The proposed method is evaluated on clinical US image set of liver, by assessing the quality factors PSNR, SNR, ISC, LMSE and EPI. Results are compared with specified algorithms separately while accomplishing for proposed method.
An integrated approach to the audit procedures to be followed during the implementation of Product Data Management (PDM) software
Authors: George Sam , K.David Dr 
Published: April 2019

Product Data Management (PDM) is a domain which comes under the umbrella of Product Lifecycle Management (PLM). While PLM covers entire life cycle of the structure taken for consideration, PDM focus only the hardware portion of it. The implementation of a system which involves product life cycle is a challenging process as it involves an entire changeover of existing working procedures. Moreover, this works in a domain which is dispersed geographically across multiple locations across the globe. In this context, diversification is keyword during the entire phase of operation. This context throws open challenges to find uniformity in procedures, practices, guidelines and documentation in every phase. The first step in defining uniformity is adhering to certain standards and practices which are universally acclaimed. In this context, procedures and directives mentioned in International Standards Organisation (ISO) and Information Systems Audit and Control Association (ISACA) become handy. Audit procedures can be broadly classified in PDM domain as direct and indirect. Direct audit practices are procedure, document and resource oriented while indirect audit focus on finance and infrastructure. In most phases there shall be overlapping relations between these two areas. Management of these aspects is discussed in individual phases of this engineering domain.
The walking robots critical position of the kinematics or dynamic systems applied on the environment model
Authors: Migdalovici Marcel , Vladareanu L , Yu Hongnian , Pop N , Iliescu M , Vladareanu V , Baran D , Vladeanu G 
Published: April 2019

The exposure is dedicated in the first to mathematical modeling of the environment where the aspects on the walking robots evolution models are described. The environment’s mathematical model is defined through the models of kinematics or dynamic systems in the general case of systems that depend on parameters. The important property of the dynamic system evolution models that approach the phenomenon from the environment is property of separation between stable and unstable regions from the free parameters domain of the system. Some mathematical conditions that imply the separation of stable regions from the free parameters domain of the system are formulated. In the second part is described our idea on walking robot kinematics and dynamic models with aspects exemplified on walking robot leg. An inverse method for identification of possible critical positions of the walking robot leg is established.
Worked out Results of IPCCR Framework for AMS Projects
Authors: Rao Kosiganti Srinivasa , Y. Prasanth Dr 
Published: April 2019

The IPCCR framework that was designed to reduce CAPEX and OPEX of Application Support and Maintenance Projects, has helped to understand Incident, Problem, Change, Configuration and Release and directly impacts the costs that are accrued. Using Proper Incident Management, Problem Management, Change Management, Configuration Management and Release Management, which are the key ingredients of ITIL V3.2 and DevOps reduces the costs of Capital Expenses and Operational Expenses. The important concept of Known Error Database will subsequently reduce the Operational Expenses as much as possible.
A Gabor Wavelet Based Approach for Off-Line Recognition of ODIA Handwritten Numerals
Authors: Sethy Abhisek , Kumar Patra Prashanta , Ranjan Nayak Soumya , Ranjan Nayak Deepak 
Published: April 2019

Optical Character Recognition is one of the most interesting and highly motivated areas of research, which has been very much ap-preciated in different aspect to the area of digitations world. Here in this paper we have suggested a probabilistic approach for develop-ing recognition system for handwritten Odia numerals. To report a good level of recognition of Odia scripts is quite challenging with respect to other Indian scripts .All the procedure are sequentially enclosed to develop an recognition model and report a successful recognition accuracy. Here we have performed the analysis over to standard handwritten numeral database named as IITBBS Odia Numeral Database, which is collected from IIT Bhubaneswar. In the suggestive recognition system we have adopted a 2D-Gabor wavelet transformation approach for selection of feature vector. Apart from it we have also noted down the dimensional reduction to the obtained feature vector by sustaining to PCA. In order to predict high recognition rate we have followed up by RBF Neural Network classifier. In addition to it we have also evaluate different version of RBF like Gaussian and Polynomial. Performing over 400 samples each of 10 categories (400*10) number of Odia numeral images, we have maintained a well-defined training and testing ratio in the clas-sifier and achieved 98.02%, 96.8%.recognition rate for the reported classifiers.
Implementation of Geospatial Labeling using Time of Arrival and Cramer-Rao bound approach
Authors: Thanjaivadivel M , K. Pious Ignatious 
Published: April 2019

Internet of Things (IoT) is one of the most emerging technology worldwide and also plays pivotal role in sensing data and also provide communication between “things”. In this paper, we implement calculation for geospatial labeling for Internet-of-Things (IoT) sort applications, which we indicate as location-of-things (LoT). The hidden thought of LoT applications is to utilize minimal effort of TW-ToA extending gadgets to perform restriction of labels. Two Way(TW) is a agreeable technique for deciding the range between two radio handset units. At the point when synchronization of the oscillators of the included transmitters is not reasonable, henceforth the tickers vary, at that point applying the estimation as a two courses go to the beneficiary and reflected back to the transmitter makes up for a portion of the stage contrasts between the oscillators included. We first propose TW-ToA localization algorithms may encounter execution debasement in situations where a portion of the APs are outside the correspondence scope of the labels. We at that point demonstrate that we can make utilization of the audible data (which demonstrates whether an AP is capable or unfit to speak with the labels). We also re-formulate the restriction issue as a factual nonlinear estimation issue. To avoid ambiguity problem that arises only at few APs this has been sorted using Cramer-Rao bound approach.
Linear Genetic Programming, Naïve Bayes algorithm - Their Applications in Geotechnical Engineering
Authors: M Vishweshwaran , . . 
Published: April 2019

Modeling soil and rock pose challenges due to uncertainties in their complex behavior. In the present study, linear genetic programming and Naïve Bayes are used in classification of liquefied and non-liquefied data. Soil and seismic parameters influencing the soil liquefaction potential are used to develop the models. Genetic Programming is the automatic creation of computer programs to perform a selected task using Darwinian natural selection. Linear genetic programming forms a peculiar subset of genetic programming where computer programs in a population are constituted as successive repetition of instructions from imperative programming language. Naive Bayes methods are supervised learning algorithms by applying Bayes’ theorem with the “naive” assumption of independence among all the sets of the features. Accuracy of results of classification for linear genetic programming, Naïve Bayes were found to be 94.12% and 90.59% respectively.
HSV, Edge Preserved and Huffman Coding based Intra Frame High Efficient video Compression for Multimedia Communication
Authors: Sripal Reddy K , Leelaram Prakash B 
Published: April 2019

High Efficiency Video Coding (HEVC) is another pressure standard for high resolution video content, which just needs 50% of the bit rate of H.264/Advanced Video Coding (AVC) at the same perceptual quality. Be that as it may, the computational intricacy is increments dramatically to adopt quad-tree organized Coding Unit (CU). In this document a new Hue Saturation Lightness (HSV), Edge Preserving and Huffman coding (HC) based intra frame high efficient video compression algorithm is introduced which is named as HSV-EPHC-IFHEVC. To increase the compression ratio of the video frames Huffman and Differential Pulse Code Modulation (DPCM) encodings are used. To improve the de-compressed frame quality in compression Sharpening filter based Edge preserving technique is used. This HSV-EPHC-IFHEVC algorithm provides much better performance compared to existing systems. The performance measurement is in the terms of MSE, PSNR, RMSE and Execution time.
An Efficient Emergency Message Forwarding Technique with Improved Rebroadcast Suppression for VANETs
Authors: Karimulla Basha S , N. Shankar T 
Published: April 2019

Vehicle Ad Hoc networks are important because they can provide communication for moving vehicles without the need of infrastructural services being deployed on the road. To avoid drastic results of accidents on highways the moving vehicles need to be aware of the traffic situation by sending emergency messages using the wireless broadcast channel. The efficiency of such methods implemented to forward emergency messages needs to be elevated for their reliability by considering the vehicle density and broadcast nature of the wireless channel. Rebroadcast protocols need to perform with minimal delay and generate less traffic in terms of duplicated emergency messages. The current paper studies the use of zone based broadcast suppression method to establish its prominence in reducing congestion.
Spatial and Temporal Assessment of Titiwangsa Lake Water Quality Using Chemometrics Analysis
Authors: Juahir Hafizan , Ghazali Adiana , Ismail Azimah , Mohamad Mahadzirah , Mohamad Hamzah Firdaus , Sudianto Sunardi , Lokman Mohd Lasim Mohd , Aidi Shahriz Mohamed , Elfithri Rahmah 
Published: April 2019

Titiwangsa Lake is a renowned recreational lake in Kuala Lumpur, Malaysia. The present study was purposely to define the current status of Titiwangsa Lake water quality and propose a water quality monitoring program to conserve and sustain the health of this lake. Samples were collected in January 2017 during the day and night-time periods. Spatial classification using hierarchical agglomerative cluster analysis (HACA) has clustered the sampling stations into low, medium and high contaminated areas. Temporal classification of discriminant analysis (DA) forward stepwise mode has highlighted DO, chlorophyll-a and E-coli are the significant variables. They showed a lower range of data during the day-time period compared to night-time period. DA backward stepwise model showed significant variables of total suspended solid (TSS) and total phosphate (TP) were higher in concentration during the day-time period as compared to night-time period. The significant of varimax factors (VFs) in the principal component analysis (PCA) might contribute by the landscaping, small-scale domestic wastewater, urban stormwater and land erosion. In a nutshell, based on HACA classification, samples can be collected at only three stations represent each cluster during the next water quality monitoring activities as this could reduce the time and cost of sampling and sample analysis.
Social Construction of Masculine Women Identity
Authors: Fachrul Nurhadi Zikri , Salamah Ummu , Destari Yully , Susanti Suseno Novie 
Published: April 2019

The purpose of this study to discover and reveal the social construction of masculine woman identity in terms of externalization, objectivation, and internalization. This study used a qualitative approach, with a method or theory of social reality construction of constructivism paradigm. Data collection was done through in-depth interviews, participant observation, and literature. The study finding showed that the social construction of masculine woman identity in terms of externalization is influenced by internal and external factors. Internal factor is influenced by a family that makes informants show the social construction of masculine woman identity to the public. While external factor is influenced by association with male friend and technological advances (mass media) that have contributed to the formation of character, appearance style, and feeling to others. In general, social identity construction of masculine woman constructs her identity in a way showed that masculine woman does not always have a negative character. In this case, a masculine woman can survive and adapt to the family, campus and community environments. The research finding showed that appearance changes will only happen if there is a will from the masculine woman herself, and the comfort level of masculine appearance can not change the identity.