bluuebunny/crossref_metadata_2025 huggingface dataset:
Embedded Immune-Evolutionary Programming for Economic Dispatch of Generators with Prohibited Operating Zones
Authors: S. Razali N , H. Mansor M , Musirin I , M. Othman M , Akoury M
Published: July 2019

Economic Dispatch (ED) is one of the popular power system problems. It is solved by the grid system operators (GSOs) to find the cheapest production cost for dispatching power from generations to the demands (loads). It is crucial to have cheap production cost and at the same time satisfying all system constraints such as generating units’ operating limits, transmission lines capacity and spinning reserve. ED of generators with prohibited operating zones is considered as a nonconvex ED as it has inequality constraints that need to be considered. This inequality constraint is the operating limits of generating units that considering the allowable and prohibited operating zones. The generating units must be ensured, that they are only operated within the allowable limits to avoid problem with the equipments that related to them. Some generating units will experience high vibration at certain level of operating limits and will burn more fuel to maintain at certain level of load. This paper presents an embedded technique to solve ED of generators problem with prohibited operating zones. The cloning process of Artificial Immune System (AIS) is inserted into Evolutionary Programming (EP) algorithm to form a new technique termed as Embedded Immune-Evolutionary Programming (EIEP). The proposed embedded technique has been tested on the IEEE 26-Bus Reliability Test System (RTS) with three different conditions of load. Besides that the results produced by the embedded technique has been compared with two single techniques which are AIS and EP. It is found that, the results of ED of generators with prohibited operating zones produced by EIEP is better than the two single techniques in terms of low total production cost.
The Role of the Russian Language in the Historic and Cultural Development of the Arctic Region of the Russian Federation (as Exemplified by the Murmansk Region)
Authors: Nikolaevna Ivanishcheva Olga , Vjacheslavovna Koreneva Anasstasija , Vjacheslavovna Burtseva Alexandra , Alexandrovna Rychkova Tatjana
Published: July 2019

The article aims to analyze the functioning of the Russian language within the ethnic space of the Murmansk Region. The analysis of the state statistical and archive documents for the Murmansk Region has shown that the Russian language has dominated within the region since at least the 18th century, and this had its obvious economic and communicative advantages, in particular, in education. The Saami, the indigenous small-numbered people of the Murmansk Region, understood and mastered the conversational Russian language since the 18th century. The Russian language dominates within the current polyethnic linguistic environment of the Murmansk Region due to the numerical superiority of the Russians in the region, as well as due to its position as the language of the dominant ethnic group.
Pedagogical Technologies in Legal Education: Historical Analysis and Modern Experience
Authors: Sagalaeva Evgenia , Komarevceva Irina , Landina Olga , Melnichuk Marina
Published: July 2019

The article is dedicated to research and analysis of the issues of formation and development of pedagogical technologies in legal education. The historical experience of training of legal human resources both in Russia and in foreign countries is investigated. Special attention is paid to the enchiridia of M. Psellus. The theoretical and practical problems that affect the application of pedagogical technologies in legal education at the present stage are analyzed. The potential of problematic training in the context of legal education is revealed. The scientific novelty of the work is that the authors on the basis of studying the history of the formation and development of pedagogical technologies both in Russia and abroad attempted to determine the main trends in the development of this sphere of social relations and to justify the most constructive proposals in order to improve the training of graduate lawyers.
Cheetah chase algorithm (CCA): a nature-inspired metaheuristic algorithm
Authors: Goudhaman M
Published: July 2019

In recent years, appreciable attention among analysts to take care of the extraordinary enhancement issues utilizing metaheuristic algorithms in the domain area of Swarm Intelligence. Many metaheuristic algorithms have been developed by inspiring various nature phenomena’s. Exploration and exploitation are distinctive capacities and confine each other, along these lines, customary calculations require numerous parameters and bunches of expenses to accomplish the adjust, and furthermore need to modify parameters for various enhancement issues. In this paper, another populace based algorithm, the Cheetah Chase Algorithm (CCA), is presented. Distinctive features of Cheetah and their characteristics has been the essential motivation for advancement of this optimization algorithm. Cheetah Chase Algorithm (CCA) has awesome capacities both in exploitation and exploration, is proposed to address these issues. To start with, CCA endeavours to locate the optimal solution in the assigned hunt territory. It at that point utilizes history data to pursue its prey. CCA can, hence, decide the situation of the worldwide ideal. CCA accomplishes solid exploitation and exploration with these highlights. Additionally, as indicated by various issues, CCA executes versatile parameter change. The self-examination and analysis of this exploration show that each CCA capacity can have different beneficial outcomes, while the execution correlation exhibits CCAs predominance over conventional metaheuristic algorithms. The proposed Cheetah Chase Algorithm is developed by the process of hunting and chasing of Cheetah to capture its prey with the parameters of high speed, velocity and greater accelerations.
Ambiverts Potentially Have Better Orienting Response than Extraverts in Visual Oddball Paradigm of Event Related Potential
Authors: Yusoff Nasir , Shan Tai Yan , Napisah Muhammad Saidah , Reza Faruque
Published: July 2019

Background: Differences in personality may indicate dissimilarity in the process of cognition.  Objectives: To investigate and compare the neural substrate of P300 component evoked between ambiverts and extraverts in visual oddball paradigm of Event Related Potential study.  Methods: Forty undergraduate medical students from Universiti Sains Malaysia (USM) were recruited and screened for personality by using USM Personality Inventory (USMaP-i).  In the Event Related Potential (ERP) session, participants (N=19 ambiverts and 20 extraverts) completed a visual oddball paradigm in counterbalanced order.  Results: Mann Whitney Test showed that, compared to ambiverts, the extraverts showed diminished P300 amplitude at the Fz electrode, but not at other electrodes. Conclusion: Ambiverts might have better orienting response than extraverts.
Perception on Prolonged Standing Work in Electronic Manufacturing Company
Authors: Mohamad Norlizaa , Mohd Rohani Jafri , Abdul Rahman Ismail , Amira Mat Zuki Anis
Published: July 2019

Prolonged standing is one of the common activities in electronic industry as the task requirement. Prolonged standing can cause discomfort on the body of the workers and can lead to injury and occupational disease. The purpose of this study is to investigate standing workers perception on the fatigue and the discomfort on their respective body region for 12 hours working time. The subjects are the 80 workers with a good health condition and at least 6 months tenure. The subject data are collected via questionnaires and Likert scale to define the discomfort, pain, and fatigue. The workers were interviewed regarding their job and perceived fatigue discomfort. The results show the domination of the lower body region with the higher mean at the lower back, legs, and foot ankle. No statistically significant differences were found between the job tenure and body part discomfort pain and fatigue. There is a significant relation between gender and discomfort pain on legs and foot ankle. The result also shows a strong relation between age and the discomfort body parts of thigh and foot ankle. The perceptions of the workers towards discomfort pain and fatigue cause by prolonged standing during performing the task. The results from this study will provide a view for industrial consultants or ergonomist with evidence to support for ergonomic interventions for prolonged standing activity such as job rotation and work-rest schedule.
Contractor Selection Criteria: a Study on Malaysian Public Construction Projects
Authors: Rashid Izwan , Ismail Syuhaida , Mohamed Zainai , Latif Saleh Abd.
Published: July 2019

The complexity of a construction project renders the implementation of a systematic approach in selecting contractors to be of vital importance, especially for the public construction projects. Nevertheless, public construction projects in Malaysia often suffer from delay, over budget and low-quality issues. These are very much affected by the contractors who tend to manipulate the tender price with the sole intention of getting the contract, thus led to many issues throughout the projects delivery. Hence, this paper is aimed to investigate a list of contractor selection criteria for public construction projects in Malaysia. A total of 43 selection criteria have been identified and categorised into seven categories from an initial review via content analysis. These findings were then verified via a questionnaire survey, which was responded by 276 local Malaysian construction industry practitioners. Data collected were analysed using the IBM Statistical Package of Social Sciences (SPSS). The analysis showed that all 43 selection criteria were significant in selecting contractors. It is hoped that the findings of this paper would encourage the governing bodies and authorities to consider the use of multi criteria assessment in selecting contractors for public construction projects, rather than being solely reliant on the tendered price.
Kinetic Characterization of Red Pigment of Monascus Purpureus at Different Level of Nitrogen Concentration.
Authors: Mahira Ahmad Siti , Mohd Said Farhan
Published: July 2019

Natural and synthetics colors are the two types of food coloring existed in the industries. Over time, most of synthetic colors were banned due to the clearly evident side effects and their possible carcinogenic effects. Pigment produced by Monascus purpureus is microbial origin and safe to use as food grade coloring. The aim of this research is to study the kinetic characterization of red pigment production throughout the solid state fermentation process at different level of nitrogen (peptone) concentration. The concentrations of nitrogen used are in between 1 to 5% of peptone. The highest  (0.1182 ),  ( 119.7 g   ),  ( 92.53),  (1.35), and    (0.016) are obtained at day 5 of fermentation period with the addition of 2% peptone. However, no further increase of the kinetic values with the increasing of peptone concentration from 2% to 5% was observed, except on  where the value was high with higher concentration. This indicates that with higher concentration the conversion of biomass to red pigment is enhanced.
Removal of Cadmium (II) by Graphene Oxide-Chitosan Adsorbent from Aqueous Solution
Authors: Azizkhani Sepehr , Mahmoudi Ebrahim , Abdullah Norhafizah , H. Shah Ismail M , Wahab Mohammad A , Aslina Hussain Siti
Published: July 2019

Pollution has a negative influence on the environment and is necessary to eliminate from wastewater and aqueous solution. There are several adsorbents for removing the pollution, among them Graphene oxide and Chitosan are proper elements with great uptaking ability. In this investigation, graphene oxide surface was coated with chitosan paricles to remove the Cadmium (II) from aqueous solution. The impact of concentration, pH and time were studied to achieve the optimum conditions of adsorption. The adsorbent was analyzed by TEM, FT-IR, XRD, and SEM analysis. The outcomes presented that the adsorbent was prepared successfully. The concentration item was tested from 10 to 120 ppm. The pH and time items were studied from 3 to 8 value and from 5 to 140 minutes for eliminating cadmium (II) respectively. Freundlich and Langmuir's models was used and the pseudo-second-order was the best fitted kinetic model in this investigation. Conclusively, the maximum adsorption ability of the made adsorbent was achieved at 107.8 mg/g based on Langmuir isotherm.
Solubility Modelling pf Butterfly Wing Leaves (Christia Vespertilionis) in Supercritical Carbon Dioxide
Authors: A. A. Hamid Izni , Ismail Norhuda , N. Mustapa Ana , A. Rahman Norazah
Published: July 2019

Medicinal herb Christia vespertilionis oil has been claimed to possess anti-cancer and anti-plasmodial properties and show interest in food and pharmaceutical industries. Being an important alternative medicine plant, solubility data of Christia vespertilionis oil is demanded in order to understand the separation process and is crucial for designing purposes. In this work, extraction and determination of the oil’s solubility were carried out using a green technique of supercritical carbon dioxide at a temperature range of 40 to 60℃ and 276 to 414 bar of pressure. The results demonstrated that the highest solubility was obtained at the highest temperature and pressure of 60℃ and 414 bar, respectively. For solubility prediction, experimental data were modelled using four empirical density-based models: Chrastil, del Valle and Aguilera, Adachi and Lu, and Sparks et al. models. In general, all the models were able to predict the solubility of Christia vespertilionis oil in supercritical carbon dioxide. The best fitting showed that Adachi and Lu model gave the best correlation with the lowest %AARD value of 1.61%.
Secure Online Data Sharing in Cloud by Private Transmit Cryptosystem Using Aggregate Keys
Authors: Amarnath Reddy E , Srinuvasa Reddy M , Manisha Kompally , Mamatha B
Published: July 2019

Cloud has become a crucial part of our day to day life because of its easy, effortless and straightforward nature of data storing and sharing. One of the important concerns for many users is data storing, we mustn’t forget about data sharing. A convenient way of online data sharing is to look at its pros for simple access while preserving security are cons for any user. Thus, a better way of ensuring user’s data is to implement data integrity with the KAC scheme. This scheme provides an efficient sharing method of decrypting multiple sets of data with the single key. It’s one among many ways of quick and effective data retrieval in case of data loss or data alteration on the cloud. It also uses the broadcast algorithm to distribute data for a specific set of users. This scheme uses basic HMAC, one of the secure hash functions for the stability of data integrity.  Therefore provides a protected environment where a user can share the bulk of data through integrity. Another advantage of using this scheme could reduce the burden of computation over the cloud.
Indoor Navigation System for Blind People Using VLC
Authors: Subhash Reddy S , Bhaskar Rao Y
Published: July 2019

We propose an indoor navigation system that utilizes visible light communication technology, which employs LED lights and a geomagnetic correction method, aimed at supporting visually impaired people who travel indoors. To verify the effectiveness of this system, we conducted an experiment targeting visually impaired people. Although acquiring accurate positional information and detecting directions indoors is difficult, we confirmed that using this system, accurate positional information and travel direction can be obtained utilizing visible light communication technology, which employs LED lights, and correcting the values of the geomagnetic sensor integrated in a Smartphone.
Artifacts Removal in Melanoma Using Various Preprocessing Filters
Authors: Ramya Ravi R , S. Vinod Kumar R , Shanila N
Published: July 2019

Preprocessing plays an important role for artifacts removal and quality improvement. In this paper, noise and hair removal techniques for melanoma in dermoscopic images is proposed. Here the performance of four filters for noise removal namely Wiener, Mean, Median, and Gaussian Filters are studied. Of these the performance of Gaussian filter is proved to be best. In addition Morphological Filter is used for hair removal. The noise and hair removal filtering processes help to enhance the quality of the image and thus aid to improve the segmentation results. The performance of the preprocessing filters is compared using quantifying parameters like MSE, PSNR, and SSIM.
Designing in Architecture: Behavioral Approach Methodology
Authors: Astuti Indriyati Sri , . .
Published: July 2019

A fundamental premise on environmental and behavioral fields involves assumptions about the systematic interrelationships between architecture and patterns of human behavior. The case study conducted was to confirm the needs of specific design methodology in relations to the area of Perception and Human Behavior. The research focused to the extent to which Office Space Performance gives impact on Employee Productivity and Satisfaction. Following that, It was also seen how those affect the behavior of coping. The findings show that there is a significant impact of Spaces’ Performances on Space Satisfaction. Further, there is a significant impact of Space Satisfaction on Coping Behavior and also a significant impact of Spaces’ Performances against Coping behavior. Humanist architecture with architectural behavior approach is required as a Concept of Planning and Architectural Design in the Future. A New Guidelines for Planning and Architectural Design Method for Architectural Design with Behavior concerns is proposed.
Virtual Instrumentation Programming and Psoc Embedded Design for Bearing Fault Detection: Uses Impulse Excitation Technique
Authors: J. Jayakanth J , Chandrasekaran M
Published: July 2019

This paper describes, a novel innovative design for generating vibration signals in a bearing, which is in static mode not in dynamic mode like other usual measurements reported in literatures,  for various types of bearing faults analysis supports users with a technique based on monitoring vibration signals. This paper reports the computed power spectrum from vibration signal clearly identifies the fault signature with its raise in amplitude. Hence, in an impulse excitation technique vibration analysis with computed power spectrum provides an efficient monitoring of fault in axle bearings in a short timing. Programmable System on Chip (PSoC) creator design and Virtual Instrument program written in LabVIEW, a graphical language, provides efficient implementation of impulse excitation technique possible in static test method in a minimal time.
Automatic Rice Leaf Disease Segmentation Using Image Processing Techniques
Authors: S. Archana K , Sahayadhas Arun
Published: July 2019

Agriculture productivity mainly depends on Indian economy. Hence, Disease prediction plays a important role in agriculture field. In image analyzing the symptoms is an essential part for feature extraction and classification. However, some of the challenges are still lacking to predict the disease. To meet those challenges, the proposed algorithm focuses on a specific problem to predict the disease from early symptoms. Bacterial Leaf Blight and Brown Spot are a major bacterial and fungal disease respectively in rice (Oryza sativa) crops, it causes yield loss and reduce the grains quality. This research work focused on automatic detection method for image segmentation on rice leaves under wide range of environmental condition for further analysis. Various hybrid techniques for image segmentation and classification algorithms were analyzed and an automatic detection method has been proposed for identifying the specified diseases in rice leaves under different environmental condition.
Research Analysis of Big Data and Cloud Computing with Emerging Impact of Testing
Authors: K. Bathla R , G Suseendran , . Shallu
Published: July 2019

Big Data has increased much focus from the scholastic world and the IT business. In the advanced and figuring world, all together is created and gathered at a rate that quickly surpasses the limit go. Right now, more than 2 billion individuals worldwide are associated with the Internet, and more than 5 billion people possess cell phones. By 2020, 50 billion gadgets are relied upon to be associated with the Internet. Now, anticipated information creation will be 44 times more prominent than that in 2009. As data is exchanged and shared at light speed on optic fiber and remote systems, the volume of information and the speed of market development increment. In any case, the quick development rate of such substantial information creates various difficulties, for example, the fast development of information, exchange speed, different information, and security. In any case, Big Data is still in its outset arrange, and the space has not been checked on all in all. Distributed computing has opened up new open doors for testing offices. New innovation and social network patterns are making an ideal tempest of chance, empowering cloud to change inside tasks, Customer connections and industry esteem chains. To guarantee high caliber of cloud applications being worked on, designer must perform testing to analyze the quality and exactness whatever they plan. In this examination paper, we address a testing natural engineering with important key advantages, to perform execution of experiments and utilized testing strategies to improve nature of cloud applications.
An Efficient Fabric Defect Prediction Based on Modular Neural Network Classifier with Alternative Hard C-Means Clustering
Authors: Rathinavel S , Kannaianl T
Published: July 2019

In India, textile industry has been mainly focused because it increased the economy day by day. But, it has some problem in the field of quality control. At present, it is mainly solved visually through skilled workers. Though, due to the human errors and eye fatigue, the system reliability has been restricted. So, in this research has been focused automatic fabric defect detection scheme. Here, Modular Neural Network (MNN) is proposed for fabric defect detection and classification with low cost and high accurate rate via using image processing schemes in the woven fabrics. At first, the images are collected from the machine and then preprocessed by using Enhanced Directional Switching Median Filter (EDWF) to reduce the impulse and stationary noise. To attain high accurate prediction, the preprocessed image has been segmented by using Alternative Hard C-Means (AHCM) cluster. After clustering, the images are converted to binary image. Then, the first order features has been extracted from the image. The extracted features are given as input to MNN, which classifies the fabric defects. In MNN, the weight factors are calculated by using back propagation algorithm and generate the output. The simulation results show that the proposed MNN attained high accuracy rate of 96.7% when compared to existing Artificial Neural Network (ANN) than Support Vector Machine with Genetic Algorithm (SVM-GA) classification algorithms.
Correlation Feature Selection (CFS) and Probabilistic Neural Network (PNN) for Diabetes Disease Prediction
Authors: Kalaiselvi K , Sujarani P
Published: July 2019

The healthcare sector is a broad area with the abundance of patient information, which creates enormously large records day by day. Though the scientific industry is rich in information but it is poor in knowledge. Diabetics are considered as a primary health issue of the world. As per the WHO 2014 survey According to WHO 2014 report, over 422 million people are affected from the diabetics globally. In the minimization of massive investigations implied on the patients, the data mining uses many mechanisms and strategies to diagnose the diabetic problem. The main objective of this proposal is to introduce assemble Data Mining based Diabetes Disease Prediction System which provides a detailed analysis of diabetics using the database of diabetics patient. The formulated work comprises of two stages such as feature selection ad prediction methods which are made known to maximize the outputs of diabetes disease prediction. Initially Correlation Feature Selection (CFS) is formulated to identify the salient features for the diabetic repository. The identified features are fed into the classifier named Probabilistic Neural Network (PNN) classifier. As the diabetic of the patient is classified using PNN meanwhile the accuracy can be fine – tuned when using the identified features. Depending on the category of data, the diabetic information is gathered from the learning repository. The outputs are correlated with the current algorithms namely Back Propagation Neural Network (BPNN), Multilayer Perceptron, Neural Network (MLPNN) were used to fetch the outputs.
Biotelemetry Using Human Area Networking
Authors: Godhavari T , Urvasi D
Published: July 2019

Human Body Communication (HBC) is a novel communication method between devices which use human body as a transmission medium. This idea is mostly based on the concept of wireless biomedical monitoring system. The on-body sensor nodes can monitor vital signs of a human body and use the body as a transmission medium. This technology is convenient for long durations of clinical monitoring with the option of more mobility and freedom for the user. Biotelemetry is remote monitoring, measuring and recording of a living organism’s function, activity or condition. Network of sensor nodes placed on or implanted inside the body of a subject is called Human Body Area Network (HAN). RedTacton is a user-friendly pervasive technology that establishes a communication between human body and devices in a closer proximity. This paper proclaims model of a human area networking technologies that enables communication by means of “Touching”. Redtacton technology was implemented to overcome the weak radio signals, data speeds and security –risks on unwanted signal interceptions. Here, human body is the transmitting medium supporting IEEE 802.3 half-duplex communication at 10 Mbits/s. RedTacton uses the minute electric field generated by human body as a medium to transmit the data.
Fuzzy Based Adaptive Controller for on - Chip Communication
Authors: Jasmin M , Vigneswaran T
Published: July 2019

Occurrence of bit error is more when communication takes place in System on chip environment. By employing proper error detection and correction codes the bit error rate can be considerably reduced in On-chip communication. As System on chip involves heterogeneous system the efficiency of communication is improved when reconfigurable multiple coding schemes are preferred. Depending upon the requirements for various subsystem the correct code has to be selected. Due to the variations in input demands based on various subsystems the proper selection of codes become fuzzy in nature. In this paper Fuzzy Controller is designed to select the correct coding scheme. Inputs are given to the fuzzy controller based on the application demand of the user. The input parameters are minimum bit error rate, computational complexity and correlation level of the input data. Fuzzy Controller employs three membership functions and 27 rules to select the appropriate coding scheme. The selected coding scheme should be communicated at the proper time to the decoder. To enable the decoding process selected coding scheme is communicated effectively by using less overhead frame format. To verify the functionality of fuzzy controller random input data sets are used for testing.
Earning Management and Risk Profile in the Banking Industry: Case Study from Indonesia
Authors: Winoto Tj Hery , . .
Published: July 2019

This study aims to investigate the application of earnings management and risk profile in the banking industry in Indonesia, during the period 2008-2017 data on 41 banks listed on the Stock Exchange. This research use analysis technique of FMOLS regression data by first doing correlation test by using correlogram. From the research that has been conducted in the results that there is a very significant relationship between earnings management and risk profile in 41 banks in Indonesia.
Stress Management Program in Selected Transport Companies in the Kingdom of Bahrain: it’s Influence on Job Performance
Authors: Rajan Babu Manju
Published: July 2019

Nowadays in all the business organizations people are bullying at work for achieving various targets. Because of this, people are becoming sick. Stress of course is one of the reasons for cardiac arrest. So here a study has conducted in order to assess the extent of stress on the people in terms of their health, behavior, work performance effectiveness, personal life and development and also tried to analyze the level of effectiveness of the implementation of stress management technique in the business organizations and its influence on their job performance. To gather the data, survey questionnaires and interviews were conducted. The participant’s answers were analyzed by calculating weighted mean and correlation through SPSS. From the result it is clear that the respondents agree with the effect of stress on the performance level of employees in workplace and also in their daily life.  Furthermore, the correlation conducted showed that there is no significance difference between the status and the level of effectiveness of stress management in business organizations. The managers and employees of Transport Companies in Bahrain are contended with the status of stress management program in terms of employee health, employee safety, performance management, stress relief and employee behavior. High cost of maintaining company health expenditures for stress-related disorders is one major problem faced by the transport companies related to stress management program. Anyways the management team in the co is high supportive for proper development and implementation of stress management program. Based on the analysis, the researcher has recommended that company should make provision for some good psychologists who have enough knowledge about stress handling techniques. Management staff and employees in the Company should get an ambiance for practicing stress management techniques on a daily basis and also they should be provided with good recreational facilities.
Novel Adaptive Background Segmentation Algorithm for Multiple Object Tracking
Authors: Ramalakshmi @ Kanthimathi V , Germanus Alex M
Published: July 2019

Multiple object tracking plays a vital role in many applications. The objective of this paper is to track multiple objects in all the scenes of the video sequence. In this paper, an algorithm is proposed to identify objects between scenes by dividing the scenes in the video sequence. Within each scene, objects are identified and tracked between scenes by segmenting the background adaptively. The proposed method is tested on four publicly available datasets. The experimental results substantially proved that the proposed method achieves better performance than other recent methods.
Study of Hardware Implementation on Size of the Microcalcification Detection Using Embedded Systems
Authors: R. Jothilakshmi G , Mohana Priya P , K. Suvithra V
Published: July 2019

Detection of microcalcification in glandular breasts is highly critical for early stage cancer detection since, it is very small in size. To detect such smaller microcalcification a hardware device is needed, which is created by the using the digital mammography image from DDSM database the image of malignant breast is acquainted. Two levels of binning is carried out with respect to the RoI to calculate the range of reflection coefficient. Linear mapping of reflection coefficient with mass density is projected as 3D and simultaneously the size of respective second bin is  calculated to derive the size if the microcalcification .This process is then implemented on hardware to make it more commercial for the people to detect the cancer at an early stage.
Energy Sector Reforms and its Role of Economic Development with Special Reference to Tamilnadu
Authors: Thangamayan S , Chithirairajan B , Sudha S
Published: July 2019

Energy is an important input for the sustained growth of an economy. Its use by individual households and the industrial units is on the increase. Energy can be an effective weapon in the battle against poverty in a country like India. Since the days of the second five year plan of energy consideration of self-reliance as economic objectives induced the government to provide special emphasis to the development of heavy and basic industries like Iron, Steal, Heavy Machinery, Fertilizer, cement, Aluminum, Petrochemical etc. It costs about Rs.4 crore to create new generation capacity. Non-conventional source of energy being the most environment friendly, there was an urgent need to promote generation of electricity based on such sources of energy; efforts have to been made to reduce the capital cost of projects based on non-conventional and renewable sources of energy.
IOT Based Energy Meter Reading System with Automatic Billing
Authors: C. Kishore Kumar P , Antony Veera Puthira Raja J , Ebenezer Abishek B , Vishalakshi S , Vidhya G
Published: July 2019

In recent time e-meter (electronic meter) place a major role for the power consumption &cost efficient system. In advanced future it has high reliable and productive programmed meter perusing framework (AMRS). This paper aims to plan a straightforward ease.IOTbased energy meter reading system which includes fault indication. Unit usage after (i.e. for 15 days once). Mode selection (automatic& manual) and SMS alert to user. Mode selection option is included. To avoid more power consumption automatic mode is used to cut-down the appliances for the user convenience. If there is a fault in the e-meter it sends a notification to the user. If there is any fault in E-meter the LED will glow. EEPROM (Electrically Erasable Programmable Read Only Memory) used as flash memory to store a data. The proposed system neglects the regular digital meter reading system and allows remotely access the electronic meter. Legitimate validation, user can get to the created webpage points of interest from anyplace on the planet. The advantages of this project are to reduce cost and save more power and also reduce man power and time consumption. This project is implemented is hardware and software used are ARUDINO IDE (using embedded C language).
Investigation of Various Techniques of Spectrum Sensing for Power Detection in Cognitive Radio
Authors: Monisha M , Sharanya C , Meena M , Rajendran V
Published: July 2019

The most competitiveness among the remote clients in India, transfer speed turns into the noticeable factor. Every one of the clients search for financially savvy and frightfully proficient frameworks to utilize the data transfer capacity viably for the essential and the auxiliary client. In this association, the current research on various MAC layers plainly uncovers that MC-CDMA procedure is giving a promising information throughput and better ghastly productivity. In the current present day advancement the medium range correspondence frameworks like dispatch administrations, roadway administrations, inn segment administrations is winding up exceptionally prevalent and every one of these applications needs an organized range detecting, range openings, range sharing, range administration, and range planning. Every one of these variables is kept up by intellectual radio approach. In this paper we examine about different procedures of range detecting in intellectual radios and its energy phantom thickness is assessed.
Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation
Authors: Krishna Kishore S , Murali Gudipati , Chandra Mouli A
Published: July 2019

With the improvement of administrations figuring and distributed computing, it has turned out to be conceivable to outsource extensive databases to database specialist co-ops and let the suppliers keep up the range-inquiry benefit. Nonetheless, a few information may be touchy that the information proprietor does not have any desire to move to the cloud unless the information classification and inquiry security are ensured. We propose the Random Space Encryption (RASP) approach that permits productive range look with more grounded assault versatility than existing proficiency centered methodologies. The arbitrary space irritation (RASP) information annoyance technique to give secure and proficient range question and kNN inquiry administrations for ensured information in the cloud. The RASP information annoyance strategy consolidates arrange protecting encryption, dimensionality development, arbitrary commotion infusion, and irregular projection, to give solid flexibility to assaults on the irritated information and questions. It likewise saves multidimensional reaches, which enables existing ordering systems to be connected to speedup extend question handling. The kNN-R calculation is intended to work with the RASP go inquiry calculation to process the kNNinquiries.
A New Hybrid Test Pattern Generator for Stuck-at –Fault and Path Delay Fault in Scan Based Bist
Authors: Karthikeyini C , Anandhi K
Published: July 2019

Testing for delay and stuck-at faults needs a pattern of two checks and test sets square measure sometimes more. Built self-test (BIST) schemes square measure enticing for such comprehensive testing. The BIST check pattern generators (TPGs) for such testing ought to be designed accustomed guarantee high pattern-pair coverage. Within the planned work, necessary and decent conditions to complete/ supreme pattern-pair coverage for consecutive circuit has been derived. A replacement check data-compression theme that's a hybrid approach between external testing and inbuilt self-test (BIST) is analyzed. The planned approach is predicated on weighted pseudorandom testing and uses a unique approach for pressing and storing the load sets. Most existing check generation tools square measure either inefficient in mechanically characteristic the longest checkable methods thanks to the high process complexness or don't support at speed test mistreatment existing sensible design-for-testability structures, like scan style. During this work a check generation methodology for scan-based synchronous consecutive circuits is conferred, below 2 at-speed check methods employed in trade. The approach provides a balanced trade-off between accuracy and potency. Experimental results show promising runtime and fault coverage enhancements over existing ways.
Information Trouncing Via Slightest Momentous Spot System Procedure
Authors: Saravanan D , Sivaprasad N , Joseph Dennis
Published: July 2019

The least-significant-bit based approach is a popular type of stenographic algorithms in the spatial domain. However, we find that in most existing approaches, the choice of embedding positions within a cover audio mainly depends on a pseudorandom number generator without considering the relationship between the audio content itself and the size of the secret message. In this paper, we expand the least significant bit matching revisited audio stegnography and propose an edge adaptive scheme which can select the embedding regions according to the size of secret message and the difference between two consecutive pixels in the cover audio. For lower embedding rates, only sharper edge regions are used while keeping the other smoother regions as they are. When the embedding rate increases, more edge regions can be released adaptively for data hiding by adjusting just a few parameters. New scheme can enhance the security significantly compared with typical least significant bit-based approaches as well as their edge adaptive ones, such as pixel-value-differencing-based approaches, while preserving higher visual quality of stegno audios at the same time.
An application of conjugate gradient method under strong Wolfe line search for solving unconstrained optimization
Authors: Khadijah Wan , Rivaie Mohd , Mamat Mustafa , Hajar Nurul , â€˜Aini Nurul , Zainal Abidin Zubaiâ€™ah
Published: July 2019

The conjugate gradient (CG) method is one of the most prominent methods for solving linear and nonlinear problems in optimization. In this paper, we propose a CG method with sufficient descent property under strong Wolfe line search. The proposed CG method is then applied to solve systems of linear equations. The numerical results obtained from the tests are evaluated based on number iteration and CPU time and then analyzed through performance profile. In order to examine its efficiency, the performance of our CG formula is compared to that of other CG methods. The results show that the proposed CG formula has better performance than the other tested CG methods.Â Â
A conceptual model of tacit knowledge transfer in steganography
Authors: Hasnita Abdul Talib Noor , Ahmad Mazida , Din Roshidi
Published: July 2019

Steganography is a technique that involves a secret hidden message concealed inside the media cover using formats such as text, images, video or audio. Secret messages sent from the sender to the receiver are considered as knowledge being transferred from the expert to the novice. However, previous studies related to the knowledge transfer from experts to novices in the field of computer security, particularly in the field of steganography, are limited. Therefore, this study aims to investigate the knowledge transfer process occurring in steganography by using an information management transfer model. The methodology consists of theory development, model validation, instrument development, survey and model verification. This paper proposes a novel Stego-based SECI Model that demonstrates how the knowledge transfer process occurs in steganography.Â Â
Time-based Simplified Denavit-Heartenberg Translation (TS-DH) for Capturing Finger Kinematic Data
Authors: Amir Idzham Iberahim Mohd , Nor Wan Shamsuddin Syadiah , Makhtar Mokhairi , Nordin Abdul Rahman Mohd , Simbak Nordin
Published: July 2019

Virtual finger model is commonly used in many applications for stroke fine motor rehabilitation especially in Virtual Reality (VR) applications. Capturing movement data for fingers is one of the important phases in any virtual fine motor rehabilitation process. Manual observation provides inconsistent evaluation given by different therapists for different rehabilitation sessions. Although the process of capturing data is performed, without time series of captured data, the data will not have a significant impact in producing consistent and meaningful evaluation. Furthermore, the consistency of the assessment of rehabilitation sessions will deliver more robust rehabilitation progress analysis. This data is very useful when paired with time information which can be analyzed to produce optimal evaluation. This paper proposes Time-based Simplified Denavit-Heartenberg Translation (TS-DH) consisting of forward kinematic with simplified DH parameter for capturing coordinate of end of each bone from virtual finger model paired with timeframe data. The DH model is enhanced by implementing 2 additional rules in assigning joint parameter. The data will be recorded with timeframe of every finger movement. As a conclusion, TS-DH model can be used in any virtual finger environment accurately.Â Â
Investigation of Wave Overtopping from Various Geometrical Configurations of Coastal Breakwater Ramps
Authors: Azlan Musa Mohd , Fadhli Ahmad Mohammad , Aieni Mokhtar Nor , Jusoh Ahmad
Published: July 2019

Breakwater is often required for erosion protection. The effectiveness of breakwater structure as a coastal defence could be determined through overtopping wave surpass onto its crest freeboard structure. The common design practice of breakwater structure is using a linear ramp configuration. There is still a limited knowledge on the contribution of various configuration ramps shape into breakwater efficiency. Thus, this study attempts to investigate a few other's configuration of ramp geometries through overtopping discharge rate performance and identified its relationships with the crest freeboard. Three configurations of ramp geometries (convex, concave and cubic) have been investigated using numerical simulation of CFD-Flow 3D software. The result indicates that, there are significant influences of ramp configuration parameters on the overtopping rate and the highest overtopping rate is contributed from cubic shape ramp geometry. It is recommended that the detail study on cubic ramp shape geometry for determining its capability in increasing overtopping rate.Â Â Â
A new family of conjugate gradient coefficient with application
Authors: Shapiee Norrlaili , Rivaie Mohd , Mamat Mustafa , Liza Ghazali Puspa
Published: July 2019

Conjugate gradient (CG) methods are famous for their utilization in solving unconstrained optimization problems, particularly for large scale problems and have become more intriguing such as in engineering field. In this paper, we propose a new family of CG coefficient and apply in regression analysis. The global convergence is established by using exact and inexact line search. Numerical results are presented based on the number of iterations and CPU time. The findings show that our method is more efficient in comparison to some of the previous CG methods for a given standard test problems and successfully solve the real life problem.Â Â
Detection and Feature Extraction for Images Signatures
Authors: Susilawati Mohamad Fatma , Mohammad Alsuhimat Fadi , Afendee Mohamed Mohamad , Mohamad Mumtazimah , Amri Jamal Azrul
Published: July 2019

The signing process is one of the most important processes used by organizations to ensure the confidentiality of information and to protect it against any unauthorized penetration or access to such information. As organizations and individuals enter the digital world, there is an urgent need for a digital system capable of distinguishing between the original and fraud signature, in order to ensure individuals authorization and determine the powers allowed to them. In this paper, three widely used feature detection algorithms, HARRIS, BRISK (Binary Robust Invariant Scalable Keypoints) and FAST (Features from Accelerated Segment), these algorithms are compared to calculate the run time and accuracy for set of signature images. Three techniques have been applied using (UTSig) dataset; the experiment consisted of four phases: first, applying the techniques on one image, then on four images, then on eight images, finally applying the techniques on ten images where time and accuracy were calculated for each algorithm in the all phases. The results showed that the BRISK algorithm got the best result among the feature detection algorithm in terms of accuracy and the FAST algorithm got the best result among the feature detection algorithm in terms of run time.Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â