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Alzheimer`s disease (AD), also known as Senile Dementia of the Alzheimer Type (SDAT) or simply Alzheimer’s is the most common form of dementia. The AD is a slowly progressive disease of the brain that is characterized by impairment of memory and eventually by disturbances in reasoning, planning, language, and perception. Many scientists believe that Alzheimer`s disease results from an increase in the production or accumulation of a specific protein called beta-amyloid protein in the brain that leads to nerve cell death. Conventional clinical decision-making systems are more manual in nature and ultimate conclusion in terms of exact diagnosis is remote. In this case, the employment of advanced Biomedical Engineering Technology will definitely helpful for making a diagnosis. Profiling of human body parameter using computers can be utilized for the early diagnosis of Alzheimer’s disease. There are a lot of tests and imaging modalities to be performed for an effective diagnosis of the disease. In this paper, we have focused on MRI imaging for making an expert system for the diagnosis of the AD. For this purpose, we have used Discrete Wavelet Transform for the segmentation of MRI images. After segmentation, some of the attributes extracted using histogram, gradient, SURF, and Gabor has been done. Finally, we have selected some attributes based on the criteria of early diagnosis through MRI brain images.

Alzheimer’s Disease, MRI, Discrete Wavelet Transform, histogram, gradient, SURF, Gabor

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C.S. Sandeep, A. Sukesh Kumar, "Attribute Selection for the Early Diagnosis of Alzheimer`s Disease from Magnetic Resonance Images," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1321-1326, 2018.

Mining valuable examples from successive information are a testing subject in information mining. An essential undertaking for mining successive information is consecutive example mining, which finds arrangements of thing sets that as often as possible show up in a grouping database. In consecutive example mining, the determination of arrangements is by and large in light of the recurrence/bolster structure. Nonetheless, the vast majority of the examples returned by successive example mining may not be sufficiently educational to representatives and are not especially identified with a business objective. In perspective of this, high utility sequential pattern (HUSP) mining has risen as a novel research point in information mining as of late. The principle goal of HUSP mining is to separate important and valuable successive examples from information by considering the utility of an example that catches a business objective (e.g., benefit, client`s advantage). In HUSP mining, the objective is to discover successions whose utility in the database is no not as much as a client indicated least utility edge. Assembling arrange for which enables the company to expand its income, high utility example mining is an essential viewpoint. A lot of stream information identified with client buys conduct utilized for building up assembling design. Ongoing inclination of the clients likewise helps in producing fabricating plans. This review work contains a rundown structure and a novel calculation for producing high utility example over expansive information, based on Sliding Window Control Mode. This approach maintains a strategic distance from the age of hopeful example. Because of that calculation not required a lot of memory space and in addition computational assets for checking hopeful examples. Because of this current, it`s exceptionally proficient approach.

Sliding window based utility pattern mining, Manufacturing plan, Industrial systems

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S. M. V. Sirisha, V. MNSSVKR Gupta, "High Utility Sequential Pattern Mining over Data Streams with Sliding Window Control," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1327-1332, 2018.

The paper presents multi-agent techniques for fraud analysis. We present a mathematical model for credit card detection and compare different intelligent agents such as monitoring agents, collating agent, diagnosing agent and reporting agent. We tested agents as against cases of credit card fraud over time at different rates with which customer received fraud alerts, we discovered improvement in detecting a credit card fraud cases using multi-agents system. The credit card authentication techniques is weak and give room to unauthorised users to gain access to customers account and steal their money through online transactions. No single platform for credit card fraud detection + Intelligent Agents +Data Mining. The objective of this paper is to model a security system that will promote trust in communication channels by implementing hybrid technology that will combine both adaptive data mining and intelligent agents to authenticate the credit card transaction. The model was therefore recommended for implementation in use by Banks, financial agencies and government agencies for the security and diagnosis of credit card fraud. This shows that the performance of credit card fraud (CCF) detection using multi-agents is in agreement with other detection software, but performs 94% better.

Multi-agents, credit card fraud, fraudulent transactions, data mining, confusion matrix & ROC curve

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Amanze B.C., Inyiama H.C, Onyesolu M.O, "On the Development of Credit Card Fraud Detection System using Multi-Agents," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1333-1343, 2018.

The real time embedded software development requires expertise for developing critical software. The safety critical embedded development has major concerns as the final target code should execute with less size and more speed. The increased stack size and reduced execution speed lowers the performance of embedded software. In the paper, a method to overcome the rapid growth of the stack is proposed and multicore load balancing issues are addressed. The model for stack improving optimization feed and multi core task balancing display interface is derived in the paper. A unique approach with the method of providing optimization hints during the development phase through interactive display interface is suggested in the paper. The experiment is conducted by considering a concave set of functions with a task dependency derivation cost. The best execution result being obtained by using stack, improving optimization feed interface.

Embedded software, interactive, display interface, multicore task balancing, parallelism, programmer, optimization, task dependency

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Sumalatha Aradhya, N.K. Srinath, "Stack improving optimization feed with multi core task display interface," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1344-1349, 2018.

With the passing of time, the realm of human knowledge is ever expanding. Further, with each passing day, we witness the explosion of information which is evident in life style, social events and breakthrough in medical science. The human beings from time memorial have attempted to preserve the information for posterity by adopting various forms starting with pictorial forms in stone carvings and subsequently recorded in palm leafs, metal sheets, as well as leather sheets. With the invention of paper and subsequent electronics, the information is recorded with ease and could be transferred to any corner of world within seconds, but modern technology, facilitating electronic preservation of information faced a challenging task of gigantic and herculean proportion while it preserving information, voluminous in quantity, recorded on papers, from preceding centuries, into electronic form. The same became more difficult with numerous languages spoken and written by people from every corner of the world. Adoption of Optical Character Recognition (OCR), producing editable text out of text image documents, has reduced the problem to a great extent. Even though, the OCR is fairly advanced in major languages like English, French etc. Various random images are taken for simulation then accuracy is measured to conclude the efficiency of the OCR system.

Optical Character Recognition (OCR), Editable Text, Modern Technology, Feature Extraction

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Vishal Chourasia, Sanjay Silakari, Rajeev Pandey, "Implementation of Optical Character Recognition Using Machine Learning," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1350-1356, 2018.

As Cloud computing is getting prevalent step by step, Cloud service providers need to take care of their systems with the policies which may lead to better execution and additionally privacy and consistency. According to the volume of users gets expanded, the framework makes more surface area for security attacks. Yet at the same time there are some issues related to privacy of the information, sorting the implicit fragmentation, and under encoding (compression) and so forth. This work recommends a simplified standard based distributed information privacy and consistency for cloud computing. Here, at the analytical level of evaluation, this approach is serving everything the needs of effective privacy and consistency mechanism and later prototype will legitimize the same.

Cloud computing, Data Security Confidentiality, Integrity, information privacy consistency, Encryption, Compression, Virtual Machine, Fragmentation

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Deepika Verma, Ajitabh Mahalkari, "A Sequential, Secured and Sharable Data Storage Approach for Cloud Services," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1357-1361, 2018.

The hustling lives in today’s fast pace era has led to people undergoing stress with less time and more responsibilities. With the emergence of digitization, the above problem is approached with the solution of home automation. Home automation alludes to the controlling of home, which includes home appliances, home environment, home safety, home energy, and other domestic features, remotely or by the means of local networking, and it is gaining popularity at a very rapid rate today as it offers numerous benefits to its users such as time saving, cost saving, decreased stress, better immunity, better self-productivity and self-efficiency. Home automation can be efficiently achieved by the Internet of Things, which is a framework wherein physical objects are interconnected via the Internet to form a dynamic network infrastructure. Due to its synergistic and minimal effort nature, Wireless Sensor Network (WSN) brings noteworthy favourable circumstances over conventional communication techniques utilized as a part of the present IOT framework. This paper presents a detailed study of various smart home systems that are built on the IOT framework using Wireless Sensor Networks (WSNs) wherein the interconnected multiple devices including home appliances and various sensors such as temperature sensor, fire sensor, safety sensors etc., are monitored and controlled through a single or multiple smart device/s such as smart phone, laptop etc. either locally or remotely by the user. The heterogeneity of home automations is indicated in this survey in which various technologies that have been considered are ZigBee protocol, cloud computing, wearable sensors, and android-based and arduino-uno microcontroller based protocols.

Home Automation, Internet of Things (IOT), Wireless Sensor Networks (WSNs), Smart Home, ZigBee, Cloud, Arduino

[1]. Pallavi Ravindra Joshi, Prof. M S khan, “IOT Based Smart Power Management System Using WSN”, International Research Journal of Engineering and Technology (IRJET), Volume 4, Issue No. 6, June 2017.
[2]. Vikram.N, Harish K.S, Nihaal M.S, Raksha Umesh, Shetty Aashik, Ashok Kuma, “A Low Cost Home Automation System Using Wi-Fi Based Wireless Sensor Network Incorporating Internet of Things(IoT)”, 2017 IEEE 7th International Advance Computing Conference, 13 July 2017.
[3]. Sandeep Pirbhulal,Heye Zhang,Md Eshrat E Alahi, Hemant Ghayvat, Subhas Chandra Mukhopadhyay, Yuan-Ting Zhang, Wanqing Wu, “A Novel Secure IoT-­Based Smart Home Automation System Using a Wireless Sensor Network”, Sensors (Basel), 30 December, 2016.
[4]. Pooja N.Pawar, Shruti Ramachandran, Nisha P.Singh, Varsha V.Wagh, "A home automation system using Internet of Things", International Journal of Innovative Research in Computer and Communication Engineering, Vol.4, Issue 4, April 2016
[5]. Vinod Choudhary, Aniket Parab, Satyajeet Bhapkar, Neetesh Jha, Ms. Medha Kulkarni, “Design and Implementation of Wi-Fi based Smart Home System”, International Journal Of Engineering And Computer Science, Volume 5, Issue No.2, 02 February, 2016
[6]. Franco Cicirelli, Giancarlo Fortino, Andrea Giordano, Antonio Guerrieri, Giandomenico Spezzano, Andrea Vinci, “On the Design of Smart Homes: A Framework for Activity Recognition in Home Environment”, Springer Science+Business Media New York, 12 July 2016
[7]. Hemant Ghayvat, Subhas Mukhopadhyay, Xiang Gui and [10er Suryadevara, "WSN- and IOT- Based Smart Homes and Their Extension to Smart Buildings", Sensors (Basel), 04 May, 2015
[8]. Vinay Sagar K N, Kusuma S M, "Home Automation using Internet of things", International Research Journal of Engineering and Technology (IRJET), Vol. 2, Issue 3, June 2015
[9]. Nagender Kumar Suryadevara, Subhas Chandra Mukhopadhyay, Sean Dieter Tebje Kelly, and Satinder Pal Singh Gill, “WSN-Based Smart Sensors and Actuator for Power Management in Intelligent Buildings”, IEEE, 14 January, 2016.
[10]. Ashwini.R, Mrs. Pooja Mohnani, “Application of Wireless Sensor Network in Home Automation”, International Journal of Computer & Organization Trends, Volume 9, June 2014
[11]. Keyur K Patel, Sunil M Patel, “Internet of Things-IOT: Definition, Characteristics, Architecture, Enabling Technologies, Application & Future Challenges”, International Journal of Engineering Science and Computing, Volume 6 Issue No. 5, May 2016.
[12]. Shagufta Rajguru, Swati Kinhekar, Sandhya Pati, “Analysis of Internet of Things in a Smart Environment”, International Journal of Enhanced Research in Management & Computer Applications, Vol. 4 Issue 4, April-2015.
[13]. John A. Stankovic, “Research Directions for the Internet of Things”, IEEE, 2014.
[14]. “Wireless Sensor Network”, https://en.wikipedia.org/wiki/Wireless_sensor_network, Accessed: 23 December 2017, 09:20.
[15]. M.U. Farooq, Muhammad Waseem, Sadia Mazhar, Anjum Khairi, Talha Kamal, “A Review on Internet of Things (IoT)”, International Journal of Computer Applications, Volume 113 - No. 1, March 2015.
[16]. Lalit Mohan Joshi, “Research paper on IOT based Air and Sound Pollution Monitoring System”, International Journal of Computer Applications, Volume 178 – No.7, November 2017.
[17]. Anitha A, “Home security system using internet of things”, International Conference on E-Society, E-Education and E-Technology 14th ICSET, 2017.
[18]. M. Chengathir Selvi, T. D. Rajeeve, A. John Paul Antony, T. Pratibha, “Wireless sensor based healthcare monitoring system using cloud”, IEEE, 16 October 2017.
[19]. Insung Hong, Sunghoi Park, Beomseok Lee, Jaekeun Lee, Daebeom Jeong, and Sehyun Park, “IoT-Based Smart Garbage System for Efficient Food Waste Management”, The Scientific World Journal, Volume 2014, 28 August 2014.

Shweta Manda, Yashashwita Shukla, Kritika Shrivastava, T.B. Patil, S.T. Sawant-Patil, "A Literature Survey on Wireless Sensor Network in Home Automation Based on Internet of Things," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1362-1368, 2018.

Tourism is considered as the interval for pleasure or business and also in terms of touring it is termed as the business of attracting, accommodating, and entertaining tourists. This may be available within the same country or outside the country may be international. It is also described as an engine of development and a catalyst to economic prosperity of a state. Now a day’s tourism became a major importance in the modern era for carrying immense importance. As we all know all the works that takes place in any tourism are done manually in certain hours of time, but there is no work done round the clock. So in this proposed work ,we try to construct a system to monitor all the engineering works in Andhra Pradesh state and try to find out the working status as they were completed or still in progress or not yet commenced based on the appropriate financial year. Some of the engineering work sources are CFA(Central Fund Assistance),GOAP Funds(State),LTW(Local Tourism Works) and major other components like Capital component, complimentary component and maintenance components etc.All the works are sanctioned with certain amounts for that particular projects based on individual district wise and state wise. By designing this proposed application, the govt of AP try to promote a steady and sustained growth of the travel and tourism sector for making the destinations more accessible, more attractive with many facilities for the tourists worldwide.

Tourism, Engineering Works, Central Fund Assistance, Capital Components

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Aruna Kumari Samsani, P. Krishna Subbarao, "Design and Analysis of A Secure Online Monitoring of Engineering Works By A.P Tourism Development Corporation," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1369-1375, 2018.

As we all know that in recent days social media play’s a very prominent role for sharing human social behaviors and participation of multi users in the network. This social media greatly increased the user’s interest in posting various updates of them which happened in and around the world. This social media will also create a facility to study and analyze the general behavior of human to process the large stream of data which is available on the social media database. Till now there are several primitive algorithms that are available in the literature regarding the clustering of user’s interest on social media but they failed to achieve in reducing the time complexity. In this proposed application we for the first time have designed a novel fuzzy c means clustering algorithm for grouping related information of users. By implementing this proposed algorithm and comparing with several primitive algorithms, we can get best group result and also reduce error rate for generating cluster groups

Clustering, Social Media, Fuzzy C Means, Grouping Messages, Time Complexity

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[8] Eytan Bakshy, Jake M Hofman, Winter A Mason, and Duncan J Watts. Everyone’s an influencer: quantifying influence on twitter. In Proceedings of the fourth ACM international conference on Web search and data mining, pages 65–74. ACM, 2011.
[9] Valentin Robu, Harry Halpin, Hana Shepherd Emergence of consensus and shared vocabularies in collaborative tagging systems, ACM Transactions on the Web (TWEB), Vol. 3(4), article 14, ACM Press, September 2009.
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Kothapalli Revathi, Chalumuri Avinash, "Performance Evaluation of Fuzzy C Mean Clustering on Social Media Data Set," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1376-1380, 2018.

Glaucoma refers to a diseases characterized by optic neuropathy, specific pattern of visual field, raised intraocular pressure. Glaucoma is the second leading cause of blindness. Visual field testing is a subjective method, but yet a very important part for diagnosis & in follow-up of ocular or neurological diseases. Standard automated perimetry or white-on-white perimetry is state of the art for the visual field examination of glaucoma patients. Careful instructions & supervision of the patient help to achieve high quality results. The purpose of this work is to develop a new family of test algorithm such as Swedish interactive thresholding algorithm (SITA) for computerized static threshold perimetry which significantly reduces test time without any reduction of data quality. A comprehensive visual field model constructed from available knowledge of normal & glaucomatous visual field is continuously updated during testing. The main components of the system are push button, PIC microcontroller, bluetooth module, android phone to display output results. Android app mainly consist of number of screens which contain patient data, test selection according to age group, 76 led glow randomly & output screen.

Glaucoma, Standard automated perimetry, SITA, Visual Field(VF)

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[2] Ahmad A. Aref et.al, “Detecting Visual Field Progression”, Elsevier journal American Academy of Ophthalmology, vol.124, Issue.12, pp-s51-s56,2017
[3] Andrew S. Camp et.al,“Will Perimetry Be Performed to Monitor Glaucoma in 2025”,Elsevier journal, American Academy of Ophthalmology,Vol.124,Issue.12,pp-s71-s75, 2017
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[9] Charles W. Mcmonnies et.al, “Glaucoma history and risk factors”, Elsevier Journal of Optometry, vol.10, issue.2, pp 71-78, 2017
[10] G.L. Scuderi et.al, “Standard automated perimetry and algorithms for monitoring glaucoma progression” Elsevier, vol. 173, pp 77-99, 2008
[11] Andrew J. Anderson et.al, “Can Home Monitoring Allow Earlier Detection of Rapid Visual Field Progression in Glaucoma?”, Elsevier journal, American Academy of Ophthalmology, vol. 124, Issue 12,pp1735-1742, 2017.
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[13] J.Kanimozhi, P.Vasuki, S.Mohamed Mansoor Roomi, “Iterative vessel segmentation with stopping criterion for fundus imagery”, International journal of scientific research in network security and communication, vol. 6, Issue 3, pp6-12, 2018.
[14] A.K.Gupta, S.Gupta, “Neural Network Through Face Recognition”, International journal of scientific research in computer science and engineering, vol 6, Issue 2, pp38-40, 2018.

N.S. Mule, S.M. Jagdale, "Early Detection of Glaucoma using Perimetry," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1381-1385, 2018.