bluuebunny/crossref_metadata_2025 huggingface dataset:
Besides Zaha or Adenowo: Investigating the Visibility Status of Female Architects as Role Models for Students of Architecture
Authors:   Department of Architecture, Covenant University, Ota, Nigeria., Omoyeni FULANI , Dolapo AMOLE, ,   Department of Architecture, Obafemi Awolowo University, Ile-Ife, Nigeria., Peter ADERONMU ,   Department of Architecture, Covenant University, Ota, Nigeria., Daniel BABALOLA ,   Department of Architecture, Covenant University, Ota, Nigeria., Bukola ADEWALE ,   Department of Architecture, Covenant University, Ota, Nigeria., Foluke JEGEDE ,   Department of Architecture, Covenant University, Ota, Nigeria.
Published: October 2019

Recent glimpses and revelations from the education and practice of architectural profession suggested that the visibility status of Female Architects as role models for students under tutelage is still hazy [1]. Highly worthy of note is that increasing numbers of female students are enrolled into architecture programs on a yearly basis but when juxtaposed with the high rate of attrition recorded at the point of exit from Nigerian universities, it significantly varies. As stated by the Sustainable Development Goals (SDG) of the United Nations, the fifth objective is to ensure the attainment of gender equality among people in the societies of the world [2]. This paper investigated and reported the findings of a study on the visibility status of female architects as role models for architecture students. Using a sample of 378 (101 females and 277 males) students drawn from 3 private universities in South-west Nigeria, a survey was carried out to find out how visible female architects were as role models to students of architecture. The data were analysed using univariate analysis like proportions and percentages and results were presented in tables. Findings indicated that only 2 female architects popularised by media were cited as role models by more than half of the respondents indicating poor or hazy visibility of other successful women in the field. This paper recommended that pragmatic steps should be taken by stakeholders of the architecture profession at different levels using the more effective visibility windows of media to showcase the high-stake achievements and personalities of successful female architects as role models to inspire both the female architects in practice and same categories under tutelage.
Low Power Design of 2–4 and 4–16 Line Decoders
Authors:   Department Of Micro & Nano Electronics SENSE, VIT, Vellore -632014, Tamil Nadu, India, Jyothi Grande Naga , Anusha Gorantla ,   Department of electronics, GCT of Coimbatore, Coimbatore, Tamil Nadu, India., Kunda Debanjan ,   Department Of Micro & Nano Electronics SENSE, VIT, Vellore -632014, Tamil Nadu, India.
Published: October 2019

Here, we are proposing a novel design of 2:4 decoder and 4:16 decoders which are designed by using line decoder concept. By using proposed design, the area and power consumption of 2:4 decoder and 4:16 decoder can be reduced. In the existing work they have used DVL (Dual Value Logic) and Transmission gate Logic to implement a 14-Transistor 2:4 decoder for minimizing the transistor count. By using 2:4 pre-decoders and post-decoders they implemented 4:16 decoders. Mixed logic is also used for this purpose. Here we have implemented a single 2:4 decoder with minimum transistor count and low power consumption which is used to design a 4:16 decoder. We implement the proposed design in Cadence Virtuoso simulation at 90nm technology and calculated the power and area.
Optimization of Micro strip Patch Antenna with Zig-Zag Slot in Broadband Communication
Authors:   Research Scholar, Electronics Engineering Department. Pacific University, Rajasthan, India, Roy Pritam Singha , Guha Moumita ,   M. Tech Student, Instrumentation Engineering Department, Jadavpur University, Kolkata, India
Published: October 2019

In this paper designed and analysis of the rectangular Microstrip patch antenna for GSM band with frequency band 5.1 GHz. Primarily the designed a conventional unslotted rectangular microstrip patch antenna and measure its different parameters using simulation tools .again introduced a Zig –Zag slotted antenna with dielectric substrate 2.2 and used the centre resonance frequency of 5.1 GHz. The substrate height of the FR4 was 0.787 mm.The comparison results of slotted and unslotted antenna are achieved large bandwidth and gain.The bandwidth of 35.2 % and achieved gain is 7.18 dBi in this poposed designed antenna. To model the probe feed for the microstrip patch we used a lumped port with port impedance equal to 50 ohm. The Zig-Zag antenna developed and its performance are utilized by Zealand IE3D tools. This antenna is used in GSM application and many other communication systems.
An Efficient and Robust Multi-Object Recognition and Tracking Algorithm using Mask Region based Convolution Neural Network (R-CNN)
Authors:   Research Scholar, Annamalai University, Chidambaram, India., Nirmala A. , Arivalagan Dr. S. ,   Assistant Professor, Annamalai University, Chidambaram, India., Arunkumar Dr. R. ,   Assistant Professor, Annamalai University, Chidambaram, India.
Published: October 2019

Presently, Multi-Object tracking (MOT) is mainly applied for predicting the positions of many predefined objects across many successive frames with the provided ground truth position of the target in the first frame. The area of MOT gains more interest in the area of computer vision because of its applicability in various fields. Many works have been presented in recent years that intended to design a MOT algorithm with maximum accuracy and robustness. In this paper, we introduce an efficient as well as robust MOT algorithm using Mask R-CNN. The usage of Mask R-CNN effectively identifies the objects present in the image while concurrently creating a high-quality segmentation mask for every instance. The presented MOT algorithm is validated using three benchmark dataset and the results are extensive simulation. The presented tracking algorithm shows its efficiency to track multiple objects precisely.
Digital Divide in Rural Tertiary Education
Authors:   Department of Computer Science, Eastern Samar State University, Philippines, Meneses III Jesus M. , Capada Rowena P. ,   College of Computer Studies, Eastern Samar State University, Philippines.
Published: October 2019

Recent studies show that Digital Divide continue to exist persistently despite efforts in a global scale to address the same through diffusion of Information Communication Technology (ICT). Inequality of access to technology as the main driving force behind these efforts, suffered deficiencies to fully capture the entire picture of the gap. The focus now is on the ability to use the technology among those who have access to it where skill and education plays a pivotal role. This is supported by findings of certain studies where digital skill particularly strategic and operational skill dictates a new frontier for bridging the gap especially in rural areas of developing countries where it is prevalent. To investigate whether there exists a digital divide among students enrolled with computer related programs in Eastern Samar State University Borongan City, Eastern Samar Philippines, the researchers conducted a survey using a questionnaire employed by Krause (2014) primarily based on LoTi H.E.A.T. Digital Age Survey developed by Dr. Chris Moersch of the LoTi Institute Carlsbad, California with modification. Data regarding gadgets and access to internet were solicited from the respondents including their perception about their related skills and later analyze and described using descriptive statistics. Results revealed that there exists a digital divide among the four groups of students (BSIT, BSCS, BSCpE, ACT) in terms of availability/access to internet and related technologies including a substantial deficiency in skill/knowledge to use the same.
Big Data and IoT in Smart Transportation System
Authors:   Cse, VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai,India, S Florence , Kumari C Shyamala ,   Cse, VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai,India
Published: October 2019

Every day, humans are innovating numerous technologies that may facilitate contour efforts towards various operations with ease. One such technology is the internet of Things (IoT) and another one is big data. internet of Things (IoT); the new technology which interconnect physical devices by communicating each other. The IoT and big data technology applied in production, farming, banking operations, healthcare and food services etc., Also it is going to be the main technology for implementation of smart cities. IoT has the variety of data which is collected by devices and is processed quickly for quicker decision-making that minimizes the time taken to finish a particular process. Here, we are going to discuss IoT and big data in transportation. IoT and big data will be applied in numerous applications of transportations like self driving cars, logistics, traffic prediction, maintaining vehicle performance, freight transportation, Accident management etc., big data and IoT makes the many impacts on the above to boost. the objective of this can be to move the items from one place to another without any congestion and avoiding accidents. This paper gives the survey of smart transportation system in several applications.
An Efficient Hardware Implementation of Finite Field Inversion for Elliptic Curve Cryptography
Authors:   School of Electronics Engineering, Vellore Institute of Technology, Vellore-632014, India., Kudithi Thirumalesu , R Sakthivel ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore-632014, India.
Published: October 2019

The modular inversion operation is an essential hardware design for computing speed when we use it in cryptography applications. Through this work, we present a FSM based design methodology to achieve speed, area and high-performance modular binary inversion algorithm over 256-bit prime field. The proposed architecture implemented using Xilinx Virtex-7 FPGA device, it achieves 37% reduction in area-delay product and 15% and 16% of improvement in speed and throughput respectively, when compared with existing designs. Also, ASIC based implementation is done using TSMC 65nm CMOS technology, the synthesis results achieved the maximum operating clock frequency is 833 MHz and throughput of 626Mbps, which makes it suitable for speed-critical cryptoapplications.
Performance Analysis of Cascode and Inductive Regenerative Low Noise Amplifier for Wireless Applications
Authors:   Department of Electronics and Communication Engineering, JAIN (Deemed-to-be University), Bangalore, Karnataka, India., K R Namratha , Goudar Nagarathna G ,   Department of Electronics and Communication Engineering, JAIN (Deemed-to-be University), Bangalore, Karnataka, India., M R Nandish ,   Department of Electronics and Communication Engineering, JAIN (Deemed-to-be University), Bangalore, Karnataka, India., Patil Vishwananth ,   Department of Electronics and Communication Engineering, JAIN (Deemed-to-be University), Bangalore, Karnataka, India., N Dr. Thangadurai. ,   Department of Electronics and Communication Engineering, JAIN (Deemed-to-be University), Bangalore, Karnataka, India.
Published: October 2019

The present world is ruled by wireless communication. From a telephone communication to satellite communication, the word “wireless” plays a major rule. In the recent years, the modem wireless communication in broadcast and microwave radio demands the properly designed Low Noise Amplifier (LNA) in receiver front ends for proper communication. The paper presents the design of high performance low noise amplifier at radio frequency regime. The LNA is implemented at operating frequency of 1.6 GHz and 2.6 GHz has been implemented at .18um CMOS process. LNA are regularly used in wireless communication receiver leading-ends due to their equity to intensify shaky Radio Frequency (RF) signals without summing additional noise. Cadence virtuoso tool has been used to implement the LNA design and the performance parameters are analyzed at operating frequency.
Implementation of IoT With Image Processing in Greenhouse Monitoring System
Authors:   M.Tech, (MSc), Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. ICT Team leader at ENAO, Ethiopia., Wudneh Tariku Birhanu , Vanitha Dr.V. ,   Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
Published: October 2019

Greenhouse automation system using Internet of Things (IoT) is a technical approach that benefits farmers by the automation and control of the greenhouse environment including plants health monitoring. Farmers' activities in the greenhouse are considered important in terms of producing strategic food for the population. In general, greenhouses are usually affected by the weather and plant diseases, as a result, their yield can be minimized and thus income is reduced. Through the analysis of the current situation of small-scale greenhouses, this paper proposes a low-cost solution for controlling, identifying, and classifying of infected plant leaves and automation of agricultural greenhouse. Design and prototype development of the proposed project has been done using Raspberry Pi, NODE MCU SP8266, different sensors and MATLAB. The programming language, MATLAB, is used to classify infected plant leaves, and sensors have been used to measure temperature and humidity of the greenhouse environment. In addition, controlling of actuators have been attained through solid state relays in order to turn the water drip system on or off upon reaching the predetermined threshold value. Finally, the greenhouse farmers interact with the proposed system via the cloud-based platform. This greenhouse automation system will benefit greenhouse farmers by enabling them to automatically monitor and control the greenhouse environment without their direct supervision.
Video Based Facial Detection & Recognition
Authors:   Dept. of CSE, Amity University, Noida, India, Altamash Mohd. , Avinashwar  ,   Dept. of CSE, Amity University, Noida, India, Faujdar Neetu ,   Dept. of CSE, Amity University, Noida, India, Saraswat Shipra ,   Dept. of CSE, Amity University, Noida, India
Published: October 2019

The identification of a person through images has been on cards for a long while but identification/recognition through video is not so common that is what we have tried to explain by the use of some classifiers like HAAR, Local Binary Pattern (LBP) and Local Binary Pattern Histogram (LBPH). These all classifiers are used for facial detection & recognition respectively. For the Facial Detection, HAAR Classifier is used while for Facial Recognition Local Binary Pattern Histogram is used.
Corrosion Rate Assessment over LPG Transporting Pipelines in Korukupet & Manali Industrial Area
Authors:   Mechanical Engg, Vel Tech R&D Institute of Science & Technology , Chennai, India., Mohan Jayandran , Ravichandran Dr A T ,   Mechanical Engg, Vel Tech R&D Institute of Science & Technology, Chennai, India., Elangovan Dr M ,   Mechanical Engg, Vel Tech R&D Institute of Science & Technology, Chennai, India
Published: October 2019

In a Crude oil refinery, Atmospheric Distillation Unit (ADU) is one the primary processing unit operation in which many Volatile Organic Compounds (VOCs), flammable liquids and gases would be separated. Most of these products contain alkane, alkene and alkyne hydrocarbon chemicals which is highly flammable in nature. The top distillate Liquefied Petroleum Gas (LPG) majorly composed of Propane and Butane popularly known as C3-C4 cuts is highly flammable in nature. LPG is one the primary domestic fuel as well as Industrial fuel used in furnaces and for other combustion activities. This LPG would be stored in Bullets which may be hemispherical or spherical. LPG is transported through Seamless Carbon Steel pipelines. As treated LPG is mostly transported either in refinery Unit or LPG Terminals, the likelihood for internal corrosion is very less. But the chances of localized atmospheric external corrosion would be more. The atmospheric pollutants & humidified air electrochemically reacts and forms corrosion over the pipelines. In this paper, LPG terminals which are existing in two most polluted regions in Chennai, Tamilnadu, India have selected. The ambient air quality has analyzed and corrosion simulation has studied.
Effect of Natural Rubber on the Properties of Bitumen and Bituminious Mixes
Authors:   M.Tech Student, Department of Civil Engineering, Chandigarh University, Gharuan, India, Kumar Rohitash , Juneja Deepak ,   Assistant Professor, Department of Civil Engineering, Chandigarh University, Gharuan, India
Published: October 2019

In India the leftovers of results of regular elastic latex are stored each year frequently wild causing disjoin natural and other financial negative effects. The ecological strong waste like elastic, swim tops, gloves and so on can be reused betterly so it is useful for what's to come. Numerous investigations have been done to discover other elective material to use as modifiers in bitumen blends on the improvement of its properties and expressway quality. Concentrates still today for the most part centered around mechanical and physical attributes of rubber treated blends in which swell elastic is utilized either as option in contrast to characteristic totals or as added substance. In this exploration Natural Rubber latex (as inflatable’s) has been utilized as bitumen modifier. Common elastic changed bitumen is utilized for the prolongation of life of state streets. The need to receive elastic for the utilization of development of the streets is predominantly that it lessens the expense of development and furthermore reused elastic is utilized as it limits the natural contamination. In this examination Natural Rubber latex (as inflatable’s) has been utilized as bitumen modifier. Bitumen when contrasted with the rubber treated bitumen is bit delicate when presented to traffic burden and temperature. The Rubberized bitumen shaped decreases perpetual distortions because of over-burden out and about and in this way unaffected by the progressions in environmental temperature and improves slide obstruction. Elastic expands protection from stream of bitumen at higher temperature and improves the protection from fragile break at low temperature. The upper surface layer of the asphalt has been made of rubber treated bituminous blends. Rheological attributes of rubber treated bitumen just as fundamental properties of the actualized, rubber treated bituminous blend are exhibited. The practices of the two modifiers were examined by far reaching research facility testing and assessment. It was seen that the expansion of normal elastic gave better by and large execution in the bituminous blends. Subsequently, this shows characteristic elastic may contribute toward better adaptable streets later on. The above properties increment the administration life of rubber treated streets much of the time to in excess of hundred percent when contrasted with that of bituminous streets. Accordingly changed elastic bitumen of streets will join reserve funds with security.
Impact of Branding on Faculties' Retention: An Innovative Technology for Technical University Faculties of Odisha, India
Authors:   School Of Management, KIIT University, Bhubaneswar, India., Subudhi Rabi Narayan , Mishra Yashaswini ,   School Of Management, KIIT University, Bhubaneswar, India.
Published: October 2019

Getting and retaining good employees is always a challenge. The case is more significant for reputed Universities, where a few good teachers (professors) add value to the institutional brand. Organizational attractiveness, in such cases, is also because of some illustrious faculties. This paper analyzes the relationship and role of employer brand factors on citizenship behavior of faculties of universities of Odisha. Data collected from 350 faculty members, working in different universities of Odisha, through a structured questionnaire, were used to analyze the contribution of EB dimensions towards citizenship behavior of faculties. Results have shown that all the five employer branding factors like brand internalization, brand equity, institutional culture and reward and recognition of effort, motivation, career advancement opportunities have strong and positive impact on citizenship behavior. It revealed there is a valid association among employer branding dimensions and citizenship attitudes of faculties, like civic virtue, sportsmanship, conscientiousness and courtesy. It finds significant relationship of employer branding with citizenship behavior dimensions in attracting potential employees and employer branding act as an innovative technology to retain efficient faculty in this talent scarcity driven scenario among all technical universities for increasing potentiality of both engineering and general students.
Design and Implementation of Embedded Audio System based on Zynq-SOC
Authors:   Electronics and Communication Engineering, LakiReddy Bali Reddy College of Engineering, Mylavaram, india., Vissampalli Ananth Kumar , Kodali Rani Rudrama ,   Assoc. Professor, Electronics and Communication Engineering, LakiReddy Bali Reddy College of Engineering, Mylavaram, India.
Published: October 2019

Nowadays smart world requires, Embedded audio system with optimum design metrics for smart applications in various fields like smart car, intelligent systems and Robotics etc. This paper describes the Design and implementation of embedded Audio system for real-time applications on SOC-FPGA with optimized design metrics (low power, low-cost, low development time, low area, high speed). An electret microphone / line in are used to feed the audio input. An audio codec from Analog devices named ADAU1761 which is integrated on the zynq-7020 board. In the proposed embedded audio system, the block design in Vivado2017.2 has been modeled with VHDL; application software developed using C language in SDK2017.2. This Audio system is the optimized solution for a wide range of smart applications.
Design of Drill Jig and Milling Fixture for the Component Button Lock
Authors:   Dept. of Mechanical Engg,BGS Institute of technology,Adichunchanagiri University, B G nagara, Karnataka, India., H S Mahendra , Dr. Hemaraju  ,   Dept. of Mechanical Engg,BGS Institute of technology,Adichunchanagiri University, B G nagara, Karnataka, India., D.E Mr. Siddartha ,   Dept. of Mechanical Engg, Adhichunchangiri Institute of technology, Chikkamagaluru , Karnataka, India.
Published: October 2019

In the present study a milling fixture and drill jig was designed, developed for the component bracket for seat arrangement. As per the requirements of rigid and economic tool, the materials are selected for both Jig and Fixture. Standards of IS and BIS requirements for entire tool was followed in order to fulfill tooling requirements. A detailed modelling and detailing were done by CATIA v.15 modelling software. A complete procedure of fabrication was discussed and enumerated. Detailed costing and estimation were done and tabulated. Considering the perception and evaluation of tool design engineer it is concluded that the designed drill jig and milling fixture has good strength from design point of view and able to fulfill the requirements of tool and engineering department.
Energy Efficient SRAM
Authors:   Electronics and Communication Engineering, Indira Gandhi Delhi Technical University, Delhi, India., Karana Niharika , Dubey Shreela ,   Electronics and Communication Engineering, Indira Gandhi Delhi Technical University, Delhi, India., Sharma Dr. Shobha ,   Corresponding Author, Faculty, Electronics and Communication Engineering, Indira Gandhi Delhi Technical University, Delhi, India., Dev Prof Amita ,   Pro VC, IGDTUW, Delhi
Published: October 2019

Memories are an essential unit of any digital circuit, thus their power consumption must be considered during the designing process of the cells. To improve performance, reduce delay and increase stability, it is advisable to decrease the power consumed by the memory. Due to high demand of speed, high performance, there’s a need to decrease the size of the device, thereby increasing the devices placed per chip. This high integration makes chips more complex but improves device performance. Design of SRAM cells with speed and low power is crucial so as to replace DRAMs. The layout of SRAM has advanced to meet the requirements of the present industry in accordance with parameters like delay, power consumption and stability etc. This paper presents the aim of analyzing different technologies used to make SRAM more efficient in terms of parameters such as static noise margin, latency and dissipation of power. The stability investigation of SRAM cells are usually derived from the Static Noise Margin (SNM) analysis. Here we observe a SRAM design which has used dynamic logic and pass transistor logic. We further study the effects made on this design by employing various technologies such as AVL-S, AVL-G, AVL and MT-CMOS, at 180nm CMOS technology to achieve enhancements in delay, power consumption and performance. The proposed circuits are simulated and the results obtained have been analyzed to show significant improvement over conventional SRAM designs. Cadence Virtuoso simulation is used to confirm all the results obtained in this paper for the simulation of 180 nm CMOS technology SRAMs.
Production technology and nutritional value of combined yogurt for dietary nutrition
Authors:   Shakarim State University of Semey, Semey, Kazakhstan, Smolnikova Farida , Toleubekova Sandugash ,   Shakarim State University of Semey, Semey, Kazakhstan, Kazhybayeva Galiya ,   S. Toraighyrov Pavlodar State University, Pavlodar, Kazakhstan, Gorelik Olga ,   Ural State Agrarian University, Yekaterinburg, Russia, Dolmatova Irina ,   Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia, Mironova Irina ,   Bashkir State Agrarian University, Ufa, Russia; Federal Government Agency Research Institute of the Federal Penitentiary Service of the Russian Federation, Moscow, Russia; K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia, Gazeev Igor' ,   Bashkir State Agrarian University, Ufa, Russia, Kanareikin Vladimir ,   Ufa State Petroleum Technological University, Ufa, Russia, Loseva Svetlana ,   Federal Government Agency Research Institute of the Federal Penitentiary Service of the Russian Federation, Moscow, Russia
Published: October 2019

Milk and milk products are in steady demand and included in the daily human diet. This paper describes the technology and the nutritional and biological value of the combined yogurt for dietary nutrition. The pumpkin puree and oat flour are used as functional vegetable ingredients in the yogurt formulation. Developed yogurt contains 2.8% of protein, 2.0% of fat and 15% of carbohydrates. The protein of yogurt consists of all essential and nonessential amino acids with high level of isoleucine (2.27 g/100g), leucine (3.45 g/100g), valine (2.46 g/100g), proline (3.91 g/100g) and glutamic acid (7.30 g/100g). Among fatty acids the larger parts occupies caprylic (27.45%), capric (20.13%) and lauric (20.15%) acids. The yogurt has a sufficient amount of the important vitamins, such as A, E, D, C and B group.
Bright - Proposed Family of Lightweight Block Ciphers for IoT-Enabled Smart Environment
Authors:   Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, Haryana, India, Sehrawat Deepti
Published: October 2019

Lightweight security algorithms are tailored for resource-constrained environment. To improve the efficiency of an algorithm, usually, a tradeoff is involved in lightweight cryptography in terms of its memory requirements and speed. This paper proposes a software-oriented new family of lightweight block ciphers, BRIGHT. Proposed family of ciphers support a range of block and key sizes for constraint environment. BRIGHT family has 6 variants and all variants fulfill Strict Avalanche Criteria and key sensitivity test. It is believed that BRIGHT family of ciphers provides better security and performance in IoT-enabled smart environment. Our aim, while designing BRIGHT is to enhance the cipher for IoT applications. For this, we have used the concept of key whitening that helps to resist against attacks like MITM and brute-force. Round permutation in BRIGHT results in stronger and faster diffusion and provides resistance against linear, differential, impossible differential, related-key rectangle, biclique, MITM, and statistical saturation attack which is likely to be applied to GFN based ciphers. BRIGHT using round constant thwarts attacks like rotational cryptanalysis, self-similarity, invariant attack, related-key attacks, and weak key attacks.
Influence of Leadership at Top Level Management in Achieving Operational Excellence in Pharmaceuticals
Authors:   Department of Management, Koneru Lakshmaiah Education Foundation (K. L. University), Vaddeswaram, Guntur District, Andhra Pradesh, India., Boya Venkateswara Reddy , Rao Dr. K. S. Sekhara ,   (Research Guide), Associate Professor & RPAC Chairman, Koneru Lakshmaiah Education Foundation (K. L. University), Vaddeswaram, Guntur District, Andhra Pradesh, India.
Published: October 2019

This research has been conducted to study how the leadership at top-level management has an influence in achieving Operational Excellence in Pharmaceuticals. This research intends to explain how the leadership at top-level management can bring Operational Excellence in the Organization. Without the complete support from the top-level management, quality product cannot be delivered to the customers/patients across the world. A research questionnaire on “Leadership at top-level management has an influence in achieving Operational Excellence in Pharmaceuticals” for Pharmaceutical companies A, B and C was developed to test the hypotheses on direct interview basis. In Pharmaceutical company A, total 150 people were interviewed on the above topic. Out of 150, 70.00% (105 people) of the people Strongly agreed, 16.67% (25 people) of the people Agreed, 3.33% (5 people) of the people responded Can’t Say, 4.67% (7 people) of the people disagreed and 5.33% (8 people) of the people only Strongly disagreed that Leadership at top-level management has a positive influence in achieving Operational Excellence in Pharmaceuticals. In Pharmaceutical company B, total 170 people were interviewed on the above topic. Out of 170, 67.65% (115 people) of the people Strongly agreed, 20.58% (35 people) of the people Agreed, 4.12% (7 people) of the people responded Can’t Say, 3.53% (6 people) of the people disagreed and 4.12% (7 people) of the people only Strongly disagreed that Leadership at top-level management has a positive influence in achieving Operational Excellence in Pharmaceuticals. Similarly, in Pharmaceutical company C, total 195 people were interviewed on the above topic. Out of 195, 69.23% (135 people) of the people Strongly agreed, 19.49% (38 people) of the people Agreed, 4.10% (8 people) of the people responded Can’t Say, 2.56% (5 people) of the people disagreed and 4.62% (9 people) of the people only Strongly disagreed that Leadership at top-level management has a positive influence in achieving Operational Excellence in Pharmaceuticals. Based on the study it has been concluded that the “Leadership at top-level management has a positive influence in achieving Operational Excellence in Pharmaceuticals”.
Fatigue Analysis of Motor Cycle Alloy Wheel
Authors:   Assistant professor. His areas of interest are Machine design and composite materials., Karteek Navuri , Krishna B Satya ,   Assistant professor, Sri Vishnu Engineering College for women in Bhimavaram, Andhra Pradesh., Babu B Kiran ,   Assistant professor Usha Rama College of Engineering & Technology, Telaprolu, Andhra Pradesh., Paleti Beulah Mani ,   Assistant Professor PSCMR college of Engineering & Technology in Vijayawada, Andhra Pradesh.
Published: October 2019

Wheels in the motor cycle play major role to carry the load. Generally spokes are subjected to fatigue loads. So it is necessary to study the response of the wheel under fatigue loads. In the present work different shapes of the wheel spokes are modeled and analyzed their response for fatigue loads by using finite element simulation software ANSYS workbench. The shape of the spokes used for the alloy wheels are curved, inclined, Y shape, Triangle shape, V Shape and H shape with constant volume. The material parametric study is also performed on the different cases of the spokes. The materials used are Structural steel, Aluminum alloy, Carbon steel and magnesium Alloy. The results show that the carbon steel shown better results when compared to remaining materials in view of life, damage and factor of safety. V curved with pad shape possess high life, high factor of safety and low damage factor compared with the remaining models.
An advanced signal processing based multiclass power quality disturbance detection and classification technique for grid connected solar PV farm
Authors:   EEE department, GMRIT, Rajaam,SrikakulamIndia., Anjaiah Kanche , Patnaik Rajesh Kumar ,   EEE department, GMRIT, Rajaam,Srikakulam India.
Published: October 2019

This paper presents an efficient event detection and classification technique for multiple power quality (PQ) disturbances. Initially synthetic power quality disturbances are simulated and then are directly processed to proposed algorithms to generate the target feature sets which comprises of energy, entropy, root mean square (RMS), mean, standard deviation, kurtosis, variance and maximum peak respectively. After the overall data analysis, it was found that thirteen power quality events out of the overall generated PQ disturbances were distinctively classified. Eventually these target features are passed through simple decision tree based event classifier for PQ events classification. The proposed algorithms are change detection filter (CDFT) with noise, without noise and synchrosqueeze wavelet transform (SST) has been scrutinized for number of disturbances presented in the PQ events. The proposed technique SST is applied for PV based microgrid to enhance the real time performance of the proposed technique where it has been verified as a superior technique as compared with the some of the existing event classification techniques such as wavelet transform (WT), stock well transform (SR),etc. The entire process has been verified in the in the MATLAB /Editor. The proposed technique evades the need of further signal processing techniques for detection and classification PQ events, thus ensconced less computational complexity and faster execution. Hence it is an efficient algorithm for real time applications.
Crow Search based Scheduling Algorithm for Load Balancing in Cloud Environment
Authors:   Department of Virtualization, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India, Singh Harvinder , Tyagi Sanjay ,   Department of Computer Science and Applications, Kurukshetra University, Kurukshetra, Haryana, India, Kumar Pardeep ,   Department of Computer Science and Applications, Kurukshetra University, Kurukshetra, Haryana, India.
Published: October 2019

Task scheduling is a vital aspect in computer science, as it is the essence of how a computer executes various tasks and performs the related activities with accuracy and efficiency. In cloud computing, task scheduling is a typical NP-hard problem and scientists have been attempting to handle this problem for quite a long time. Although it is anything but difficult to accomplish a global optimum solution utilizing the ant colony algorithm and achieve promising outcomes. This research paper proposes a crow search based load balancing algorithm (CSLBA) for multi-objective task scheduling environment which concentrates on allocating best suitable resources for the task to be implemented with the consideration of various parameters like average makespan time (AMT), average waiting time (AWT) and average data center processing time (ADCPT). The present work provides a comparative analysis of proposed algorithm and Ant Colony Optimization based load balancing algorithm (ACOLBA). The experimentation is performed in steps and comparative analysis proved that proposed CSLBA is the optimal technique among the other scheduling technique considered in this research paper.
Dynamic Analysis of a Building for Blast Loading At Various Locations in Etabs
Authors:   P.G. Student, Department of Civil Engineering, Chandigarh University, Mohali, Punjab, India, Kumar Mr. Sanjeev , Singh Er. Simranjit ,   Assistant Professor Department of Civil Engineering, Chandigarh University, Mohali, Punjab, India
Published: October 2019

A research paper presents dynamic reaction of tall structure exposed to influence stacking (bomb blast). It is tied in with understanding the blast phenomena and examining the dynamic reaction of three different building system as Frame Structure, Bracing Structure and Dia. Grid Structure of Concrete by using ETABS 2016. The building is of 15 stories is presented to 100 kg TNT, 200 kg TNT and 300 kg TNT with three distinctive standoff separation of 15 m, 20m and 25m separately. A non-straight three-dimensional is utilize for investigation the non-linear reaction of a building. In current circumstance, building under effect stacking (bomb impact) are acting in a word length with the high-mass power of stun wave. The point of this paper is to research the execution of tall structure structures under impact stacking, blast phenomena and the dynamic reaction of three different concrete building system structure by using ETABS 2016 computer modelling, analysis and designing software. The outcome obtained by a time history function is in terms of story displacement as well as story drift, overturning moments and other important impacted parameter consider of the structure which helps to resist the impact of the blast. In this way, for diminishing the front of surrounding structures, modest hazardous vitality utilized to controller the basic harms because of the blast.
Design and Fabrication of Water Tank Cleaning Machine
Authors:   Department of Mechanical Engineering, SRMIST, Chennai, India., Chander Ashwin , Siddarth G. ,   Department of Mechanical Engineering, SRMIST, Chennai, India., Kanth E. Krishna ,   Department of Mechanical Engineering, SRMIST, Chennai, India., Shadrack Kevein ,   Department of Mechanical engineering, SRMIST, Chennai, India., Vetrivezhan P. ,   Assistant Professor, Department of Mechanical Engineering, SRMIST, Chennai, India.
Published: October 2019

This paper proposes to design and develop a machinery for cleaning domestic rectangular water tanks. It is known fact that cleaning of water tank is a meticulous and labor intensive task. It is very important to regularly clean and maintain the water tank to keep the water borne diseases from spreading. The water in storage units are used for both domestic and industrial purposes. The presence of toxic substances in water can also cause skin diseases. This can be avoided with the use of an efficient tank cleaning system. The system consists of a machine designed with a movable body and an extendable shaft mechanism supporting a rotating brush. The movement of shaft and brush scrubs the walls of the tank. A sprinkler mechanism rinses the sediment deposits from walls of the tank and additionally a vacuum device ingests the sludge from the floor of the tank. The object of this machine is to reduce the overall time and effort invested in the cleaning of water tanks.
Simulink Model for Adaptive Speed Control of Lathe Machine for Installing VFD using Matlab
Authors:   Department of M.E. Scholar in National Institute of Technical Teachers Training and Research, Bhopal, Madhya Pradesh, Gangwar Km Santosh , Rao Dr. P. Sudhakar ,   Assistant Professor Department of Mechanical Engineering, NITTTR Chandigarh., Kumar Ajay ,   Director Enovative lab, NITTTR Chandigarh. He completed his M.E. from NITTTR Chandigarh
Published: October 2019

In modern scenario it is necessary to update the existing machine according to the latest technology or as per the demand/requirement and conservation of energy is also an important task. The demand of energy increases day by day. As we know that the conventional lathe machine has an important role in every industry, workshop, and colleges in different operation required for the research work or manufacturing in various parts. But some time it is very difficult to handle lathe machine specially in handling/controlling the speed. So in this project we control the speed of lathe machine by using Variable Frequency Derive (VFD) with SIMULINK model generated in MATLAB. In this we replace hectic lever arrangement for speed setting by giving input in the form of speed directly with the help of mobile phone, keypad or knob based on IOT and the energy will save up to 70%. A feedback device is used for monitoring whether the spindle rotate on given input value of speed or not. Lathe spindle rotate at the exact value, for this we used PID controller. In this research paper we basically discuss the software (made in SIMULINK) which is used in updating the conventional lathe machine.
IoT based Solar Powered Irrigation System and Farm Monitoring
Authors:   student in Computer Science Department of Ramaiah Institute of Technology., M R Sindhu , M Mallegowda ,   Assistant Professor in Computer Science Department of Ramaiah Institute of Technology., Kanavalli Dr Anita ,   HOD in Computer Science Department of Ramaiah Institute of Technology.
Published: October 2019

Agriculture plays a important role in Indian economy. The main issues which are faced in farming are water deficiency and high costs expected by labours. These major issues can be solved using smart automated irrigation system. So we proposed an renesas based smart farming using solar panel. This system consists of 3 sensors temperature, soil moisture and luminosity and senses the soil level. when soil moisture is less than the threshold level, the water is pumped to the crop. Various numbers of operations are performed in the agriculture field. Very basic operation is seeding. But the present methods of seeding are problematic. The equipments which are used for seed sowing are inconvenient to handle. So there is a need to develop the system which reduce the efforts of farmers. This system introduces a efficient mechanism which aims to drop seeds at desired position with specified distance between two seeds and lines while sowing. These operations are controlled by the human using mobile using GSM. The Reneses controller passes the information which is gathered from various sensors to Amazon web server utilizing GPRS.
Energy Efficient Hybrid Optimization based K-means Clustering and Load balancing using Optimized Ad-hoc on-demand Distance Vector Routing for WSN
Authors:   Assistant Professor, Department of ECE, University College of Engineering, Panruti., Kavitha R.J. , Thamaraikannan N. ,   Assistant Professor, Department of CSE, Saveetha School of Engineering, Chennai., Arunprakash Dr.R. ,   Assistant Professor, Department of CSE, University College of Engineering, Ariyalur., Subramaniam Dr.Kamalraj ,   Associate Professor, Department of ECE, Karpagam Academy of Higher Education, Coimbatore.
Published: October 2019

Nowadays, Wireless Sensor Networks (WSN) play a key role in data transmission depends on the locations of nodes. WSN contains Base Station (BS) with several Sensor Nodes (SNs) and these nodes are randomly arranged inside the region. The BS used to give the commands and direction to the sensor node. Energy is a major issue in WSN as after some transmissions the nodes drain their energy when the information is passed inside the region of interest. According to the distance between the sensor nodes, the energy can be used during the Cluster Head (CH). The energy consumption (EC) is abridged by implementing the protocols of clustering and routing which is used to augment the Network Lifetime (NL). The optimal CH selection for finding the shortest path among the CHs is improved by developing the hybrid K-means with Particle Swarm Optimization (PSO) based hybrid Ad-hoc On-demand Distance Vector (AODV) channeling algorithms. The alive nodes, total packet sending time, throughput and NL are increased by using this hybrid technique, whereas dead nodes and EC are minimized in a network.
A Model to Predict Pay Scale Fixation in Job Market Based On Educational Excellence
Authors:   Computer Science, Vit University,Vellore , India, kamalanathan Abishek , Tamizharasan Archana ,   Computer Science, Asst. Professor, Vit University, Vellore ,India
Published: October 2019

The students of current generation worry a lot about their future salary when they get employment. The salary of an employee has always remained the major concern. In this paper we study and understand the major factors which are influencing the pay scales of the employees. This Research paper is based on predicting the pay scales of employees working in the southern part of India. The pay scale of an employee with below 4 lakh per annum is treated as medium pay scale and pay scale with above 4 lakh per annum is treated as good pay scale. In this paper the machine learning model is applied to predict the pay scale of an employee with the features which best suits the model. The year of passing, English marks, Quant marks, logical marks scores in AMCAT’s exam, programming skills and college CGPA were the major factors influencing the pay scales. Three machine learning algorithms were applied to the dataset Naïve bayes, Decision tree and Bagging .Naive bayes and bagging model gave the best accuracy of 85.2%
House Price Prediction using Machine Learning
Authors:   Associate Professor, CSE Dept, BVRIT HYDERABAD, Satish Dr.G.Naga , Raghavendran Dr.Ch.V. ,   Professor, IT Dept, ACET, Surampalem, Rao Mr.M.D.Sugnana ,   Assistant Professor, CSE Dept, BVRIT HYDERABAD, Srinivasulu Dr.Ch. ,   Professor, CSE Dept, BVRIT HYDERABAD
Published: October 2019

Machine learning plays a major role from past years in image detection, spam reorganization, normal speech command, product recommendation and medical diagnosis. Present machine learning algorithm helps us in enhancing security alerts, ensuring public safety and improve medical enhancements. Machine learning system also provides better customer service and safer automobile systems. In the present paper we discuss about the prediction of future housing prices that is generated by machine learning algorithm. For the selection of prediction methods we compare and explore various prediction methods. We utilize lasso regression as our model because of its adaptable and probabilistic methodology on model selection. Our result exhibit that our approach of the issue need to be successful, and has the ability to process predictions that would be comparative with other house cost prediction models. More over on other hand housing value indices, the advancement of a housing cost prediction that tend to the advancement of real estate policies schemes. This study utilizes machine learning algorithms as a research method that develops housing price prediction models. We create a housing cost prediction model In view of machine learning algorithm models for example, XGBoost, lasso regression and neural system on look at their order precision execution. We in that point recommend a housing cost prediction model to support a house vender or a real estate agent for better information based on the valuation of house. Those examinations exhibit that lasso regression algorithm, in view of accuracy, reliably outperforms alternate models in the execution of housing cost prediction.