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Volume 05 Issue 10 (October 2018)

S.No. Title & Authors Page No View
1

Title : Periodic Solution in a Predator-Prey System with Hassell-Varley Functional Response and Impulsive Harvesting

Authors : Fuyue Cheng, Dongwei Huang

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Abstract :

Predator and prey system in ecological biological  are often  interfered by human exploiting activities in impulsive patterns. For a predator-prey  with Hapssell-Varley functional  interaction model, firstly, the complex dynamic behaviors  including  stability of internal equilibrium and the existence, Hopf  bifurcation, and the limit cycle are investigated roughly in this paper. Moreover, implementing multiple state feedback controls so that three order-1 periodic solutions driven are induced by disparate dynamics, respectively. Based on the method of successor function , we prove the existences of order-1 periodic solutions.

1-6
2

Title : Biotechnology Effect of Protease Enzyme Produced From Lactobacillus Species on the Milk

Authors : Fekadu Mersha, Dr. Archana Pandita

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Abstract :

In the world like developing countries there is rapid growth of human population and urbanization. This growing population uses numerous amounts of milk and milk products in day to day life. It demands to improve yield and quality of milk and milk products through biotechnological techniques like application of enzymes. This paper reviews the protease enzyme producing Lactobacillus species, production of protease enzyme and the effect of protease enzyme on milk and milk products. Lactobacillus species are the major part of the lactic acid bacterial groups. Lactobacillus species have function of pathogen control, probiotic, food producer (fermenter) and enzyme producer. Protease enzymes are hydrolyzed or breakdown peptide bonds of proteins and can break specific peptide bond or complete polypeptide chain to amino chain residues. They are used to apply in leather, pharmaceuticals, protein processing, foods, dairy, diagnostic reagents, soy processing, peptide synthesis and extraction of silver from used X-ray film. The production of protease is mainly affected by media composition, variation in C/N ratio, pH, temperature, and incubation time. Generally optimization of protease starts with conventional method. Conventional optimization method is simple and it supports to select main factors that accelerate production of protease. The major function to apply proteases in the dairy industry is associated with their ability to coagulate milk and to improve taste, flavor and texture in cheese manufacturing.

7-14
3

Title : Heteroclinic Bifurcation of a Predator-Prey System with Hassell-Varley Functional Response and Allee Effect

Authors : Fuyue Cheng, Dongwei Huang

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In this paper, we consider a Predator and prey system model with Hassell-Varley function and Alle effect.  Firstly, we discuss the complex dynamic behaviors  including the existence, stability of  internal equilibrium. Moreover, implementing  state feedback controls so that the Heteroclinic bifurcation is existed. Finally, choosing  as a control parameter, we obtain the sufficient conditions for system (3.1)the existence and uniqueness of order-1 periodic solution by using the geometry theory of semi-continuous dynamic systems.Based on the method of successor function , we prove the existences of order-1 periodic solutions.

15-20
4

Title : Metric KNN Joins Using Spark

Authors : Xiaohai Cheng

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Abstract :

k nearest neighbor join(kNN Join) refers to finding the k nearest neighbor vectors in another data set R for each object in the data set S by using the nearest neighbor formula and the distance calculation formula between vectors in two data sets.kNN Join has a wide range of applications, so it has received attention.However, as a combination of k nearest neighbor join queries and join calculations, processing kNN joins of high dimensional data is quite time consuming.To handle larger data sets, the Hadoop and Spark frameworks have been the tool of choice for parallel and distributed computing in recent years.In this paper, we present the vertical decomposition data for processing kNN connections using Spark.We propose to first approximate the vector piecewise aggregatio and the symbol aggregation approximation SAX, then decompose the vector vertically to satisfy the distributed operation, calculate the distance between different vectors in each partition, and then merge the partitions to meet the conditions. Calculate the vector and finally find the true distance between the vectors.The specific process is described in the implementation section of the text. The experimental results show that the proposed method improves the computational speed under the premise of ensuring the accuracy of the experimental results

21-25
5

Title : Research on Water Supply Big Data Framework Based on Wisdom Water

Authors : Jiongming Zhu, Zhangang Wang

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Abstract :

This paper mainly discusses the design of the big data collection and analysis framework for water supply in the field of “Wisdow Water”. At present, there are problems in the data collection of water supply, such as low real-time data collection, difficult storage of large amounts of data and complicated calculation of big data. The big data acquisition and analysis architecture designed in this paper adopts the SOA architecture concept and applies different Internet technologies in a service-oriented mode to solve the above problems, thus realizing the business needs of real-time collection and analysis of water supply data.

26-28
6

Title : A Survey on Wireless Sensor Networks Localization Technology

Authors : Zhihao Zhang, Wenju Liu

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Abstract :

With the increasing demand for location services, low-cost, adaptable wireless sensor network localization has attracted more and more attention. Wireless sensor networks have been widely used in various fields, affecting people's daily lives in many aspects. In this article,firstly, the basic knowledge of wireless sensor networks localization technology is introduced. Then, the main positioning methods of wireless sensor networks are summarized and compared. Two positioning methods based on range-based methods and range-free methods are emphasized. Finally, the improved version of range-based positioning algorithms are classified and summarized.

29-33
7

Title : Research on Wireless Sensor Networks Security Localization Algorithm

Authors : Zhihao Zhang, Wenju Liu

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Abstract :

The application of wireless sensor networks (WSN) is promising. As one of its core technologies, positioning technology has also developed rapidly. However, the nodes of wireless sensor networks have various limitations, and there are many risks in security, which has become a research hotspot. Attacks on the positioning process and positioning algorithms are undoubtedly a major challenge in the development of positioning technology. In this paper, we introduce several existing security location technologies, common location attack algorithms, and detection methods. And, it is analyzed and compared in detail. Finally, we summarize and look forward to future research hotspots and trends.

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8

Title : A Survey of Participant Selection Methods Based on Data Quality in Mobile Crowd Sensing Tasks

Authors : Kai Zhang

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Abstract :

Mobile Crowd Sensing is an emerging sensing model that accomplishes a perceptual task by perceiving specific environments, collecting perceptual data, and providing information and analysis. This paper focuses on the choice of participants in the mobile crowd sensing perception task under the premise of prioritizing data quality. The task publisher publishes the perceived task recruiting worker and gives a certain reward.  After the worker completes the sensing task, the worker feedbacks the sensory data to the task publisher, the quality of the feedback data is crucial for the result of the entire sensing task. This paper proposes to study the existing task allocation methods, and compares the current most advanced methods. Finally, it is found that Budget-TASC is the current method with the highest data quality, and it can control the budget within a certain range in the group intelligence perception task. While maximizing data quality, this method studies the reputation of the worker and the distance between the worker and the task position. While controlling the cost to a certain extent, the quality of the expected result is maximized.

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9

Title : Research Progress on Algorithms for RNA Secondary Prediction

Authors : Guosong Jiang, Ke Chen

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Abstract :

Besides participating into genes expression, modern cell biology scientists uncover that RNA plays diverse roles in whole life of cells, including catalyzation, regulation, etc. These types of RNA are usually called non-coding RNA, whose research have become a hot spot. Predicting RNA structures using information technology origins from the early works of Waterman in 1970s, he developed the theory of minimum free energy to predict unknown RNA structures.  Lots of Corollaries proposed in this theory have become the theoretical foundation of many later prediction algorithms. After decades of development, the algorithms for RNA prediction become more and more mature and specific. RNA secondary structure prediction is the first step of RNA structure prediction. Nowdays, mainstream method generally includes minimum free energy methods and sequence alignment methods. State of the art methods usually focus on multi-branches prediction and combination of experimental data. This article reviews the methods in this area, concentration will give on the latest technology, including optimization of minimum free energy methods and multi-branches prediction.

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10

Title : A Survey on RNA Alignment Algorithm

Authors : Guosong Jiang

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In bioinformatics, Alignment is an ancient and classic method or technique. The underlying problem of sequence alignment can be attributed to the study of the similarity of two or more symbol sequences. The design of sequence alignment is to reason about its evolutionary relationship by using sequence similarity at the nucleic acid or amino acid level, and then to infer its structural and functional connections. This kind of analysis is of great significance for biochemistry, genetic research, molecular research, and the study of the origin of life. The simplest form of sequence alignment is a pairwise alignment. By this pairwise alignment, the reserved or reserved sites between the two sequences are found, and then the evolutionary relationship between the two is explored. Based on the pairwise alignment, it can be developed as an alignment of multiple sequences, looking for reserved regions or reserved sites between multiple sequences, looking for their evolutionary connections. After determining their evolutionary connections, it is easy to splicing their higher-level structural components based on sequence alignment, and then completing the final structural prediction.

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11

Title : Study on the Stability Convergence Speed of Advertising Volume Shopping Level Model with Time Delay

Authors : Chunpu Zhang, Yanhui Zhai

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The stability andof the advertising volume shopping level model with time delay are discussed. The linear stability and of the model are studied by using the geometric criterion of stability switching for time delay systems, and the differences and relations between the two stability are compared. Finally, numerical simulation is applied to verify the accuracy and effectiveness of the conclusion.

46-48
12

Title : Research on the Architecture Analysis of the Wisdom Water Water Charge System

Authors : Jiongming Zhu

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Abstract :

This paper mainly studies the water fee revenue branch in the “Wisdom Water” construction system, adopts the Internet thinking to construct a service-oriented water fee fee collection system, and transforms the module into service through SOA service-oriented thinking. And the integration of the current popular Internet technology, the introduction of big data computing, from all angles to improve the timeliness of data analysis and user operations of the water revenue system

49-50
13

Title : Synchronization Control for Coronary Artery System via Jensen Inequality

Authors : Fei Lv

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In this paper, we provide a state feedback control strategy for  synchronization of coronary artery system(CAS). In order to obtain less conservative results, we design a state feedback controller to achieve synchronization based on the Jensen integral inequality by constructing Lyapunov-Krasovskii functional (LKF). Finally, the simulation results are illustrated to demonstrate the validity of the proposed state feedback control method.

51-53
14

Title : Improved Fuzzy Control for Coronary Artery Time-Delay System Synchronization

Authors : Haoliang Cui

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Abstract :

This paper investigates the problem of fuzzy state-feedback control for a category of coronary artery system(CAS) with state time-delay. T-S fuzzy model is employed to close in CAS which exists unknown nonlinear characteristics. An improved Parallel Distributed Compensation(PDC) controller is constructed to synchronize diseased CAS and normal CAS that both have state time-delay. Improved Jensen inequality is used to reduce the conservatism of the system. A simulation example is given to validate the effectiveness of the new design strategy.

54-56
15

Title : A Survey of Mobile Crowd Sensing Applications

Authors : Kai zhang, Xuemei Sun, Hua Su

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Abstract :

With the explosive popularity of wireless mobile terminal devices, the combination of mobile sensing and crowdsourcing ideas has created a new type of Internet of Things sensing model, namely, crowd sensing. As a new IOT awareness model, the mobile crowd sensing network collects individual, context, and context-aware data in a specific range through mobile-sensing devices, accomplishing complex social-aware tasks and providing enough sensing applications. This paper combines the development of mobile crowd sensing network, mainly introduces its basic concepts and the application of current mobile crowd sensing in all aspects of society, and summarizes the problems faced by mobile crowd sensing and future development.

57-60
16

Title : Convergence Algorithm on NPI

Authors : Quan Wang

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The core of automatic programming is to solve the problem of program synthesis.At present, the neural network is used to solve the problem of program synthesis.Neural program interpreters are based on input and output of training, testing.Learn the rules of the task from the input/output pairs.However, the traditional neural interpreter may not converge during training. In this paper, different convergence algorithms are used to train the neural interpreter in order to find the best convergence algorithm.

61-63
17

Title : Network Control System of Event-Driven Observer Based on Wirtinrer Inequality

Authors : Binbin Shen, Liankun Sun

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This paper concern about two different networked control systems, one is based on event-driven observer linear network control system, one is based on event-driven observer time-varying networked control system.The trigger mechanism of the event is represented by a delay model.Meanwhile, we use of some of the latest technology to dealwith the output system itself has the delay and the closure of the system due to the induced delay. The Wirtinrer’s inequality, which has just been proposed in recent years, effectively reduces the conservativeness of the system.Using these techniques to construct the Lyapunov function, the existing stability condition is created under the condition of linear matrix inequality.The validity of the proposed method is given by a given numerical example .

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18

Title : Brain Network Classification Based on Multiple Brain Network Attributes

Authors : Nan Yang

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Abstract :

Most existing brain network classification methods construct brain networks by processing the collected signals, and then classify them according to one brain network feature attribute between one or more brain regions. This kind of method often ignores other characteristic attributes of the brain network because only one attribute is considered, and the neglected features are likely to have a greater impact on the experimental results. This paper explores the different effects of various network attributes in brain network classification, and provides a new idea for future network attribute research.

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19

Title : Location Based Reminder System Using Android Mobile

Authors : Ritu Raj Madhup, Harshdeep Kalra

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The location based reminder application offers location-based reminders which sends an alert when you get to (or leave) a specific place. The aim is to be able to remind the user of certain tasks which are specific to one point only. People often forget to pick up certain items when they pass right by the grocery shop. The app will allow the user set up a reminder that you need to buy some groceries at your preferred supermarket chain. This app would then request the shop locations from a server and remind you whenever you are, e.g., 200 meters near from the shop. The user can save certain tasks to be done when they are nearby to a specified location and the app will remind the user when they are close to the location. The app is highly recommended for the people who are quite disorganized and forgetful which is quite common in the modern day lifestyle. The app is meant to save the time, increase efficiency and reduce frustration.

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20

Title : Dynamic Cylinder Deactivation

Authors : Ms. Lekha, Harshdeep Kalra, Priyanshu Bharadwaj, Ritu Raj Madhup, Yash Pandey

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Automobile contains multiple cylinders to produce power to run the vehicle. Every drop of fuel in the combustion chamber produces the same amount of power everytime irrespective of the power needed to run the vehicle. There are times when a car is stuck in traffic and it won’t be able to use the full potential of the car, so in this case we waste fuel. In order to overcome this problem we can use the method of cylinder deactivation in which the pistons get deactivated and only limited amount of pistons keep working enough to give power to the vehicle. Using this we can save fuel everytime we get stuck in traffic. An ECU decides when the cylinder should get deactivated or activated. Thus making the whole process automatic and easy

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