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Testing of Software is an indispensible phase of software development. It helps us to improve functional and non-functional characteristics. To implement functional test scenario black box testing process is used, and the test bases are the functional requirement. Nonfunctional requirement does not describe the function, but the attribute of the function i.e function quality, usability, efficiency and reliability. To implement testing, the most difficult part is to design test cases. There are numerous processes available which can help us to design test cases. This paper will present the novel algorithm of Equivalence class partitioning. Here the input is partitioned by using a strategy that is inspired by binary search. Based on the input data, the complete range is divided into two sub ranges, and this partition continues until a threshold is reached. The proposed novel algorithm of testing will increase the reliability of the software product.

Software testing, functional testing, black box testing, binary search, class partitioning

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Sandeep Chopra, Lata Nautiyal, M.K. Sharma, "Boundary Analysis for Equivalent Class Partitioning by using Binary Search," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.601-605, 2019.

Today is the age of information and technology. We cannot proceed even a single step without it. We are fully dependent on information and technology. In this paper we will show that which image is best after recombined of RGB image. First we take .jpg image, differentiate it and then recombined to obtained the final image and again we take the .png image, differentiate it RGB , recombined it to get final image .At last we will compare the final image of .jpg and .png and see different.

Region Based Cryptography, .jpg image, .png image, secrets, sharing

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Irfan Jalal Bhat, Raghav Mehra, Amit Kumar Chaturvedi, "Region Based Cryptography: A Study of Difference Between the .jpg Image and .png Image After Recombined RGB Images," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.606-609, 2019.

Data is the lifeblood of all business. Data-driven decisions increasingly make the difference between keeping up with competition or falling further behind. Machine learning can be the key to unlocking the value of corporate and customer data and enacting decisions that keep a company ahead of the competition. A subset of artificial intelligence (AI), machine learning (ML) is the area of computational science that focuses on analyzing and interpreting patterns and structures in data to enable learning, reasoning, and decision making outside of human interaction. Simply put, machine learning allows the user to feed a computer algorithm an immense amount of data and have the computer analyze and make data-driven recommendations and decisions based on only the input data. If any corrections are identified, the algorithm can incorporate that information to improve its future decision making. Machine learning helps in data-driven decision making, identification of key trends and driving research efficiency. When it comes to healthcare, there are different ways in which machine learning techniques can be applied for effective diseases prediction, diagnosis, and treatments, improving the overall operations of healthcare. Effective machine learning implementation enables healthcare professionals in better decision-making, identifying trends and innovations, and improving the efficiency of research and clinical trials

Doctor, Symptoms, User, Patient, Machine Learning, Healthcare, Prediction, Location, Diseases

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Md. Lutful Islam, Khalid Alam, Ashfi Ansari, Kashyap Godambe, "Doctor Recommendation and Appointment System," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.610-613, 2019.

Aqua Robotics Urban Farm System is an energy efficiency and cost effective way to grow plants, vegetables or flowers using natural process without soil and external nutrients. Aquaponics system is developed by fish and plants in a cyclic system. There are six goals to achieve, our first goal is to automate fish feeder this is possible with the help of a sensor called servo motor. Second goal is to supply excretion of fish to the plants through regular water supply. And this water contains all necessary nutrients that plant can need. Third goal is to use led grow lights instead of sunlight because this an indoor plant farming. Forth goal is to replace the dirty water in aquariums every three months automatically based on PH value. Fifth goal is to upload the sensed data to the Blynk cloud, an IOT analytics platform service that enables us to connect devices whether they are powered by Blynk modules or by other modules. By cloud information we are able to analyze data which in-tern helps in maintenance of an aqua system and also growth of fish and plants. And retrieve those data using telegram bot as a front UI. Sixth goal is to maintain the temperature of water in the aquarium. Our responsibility in this project is achieving all these six goals.

aquaponics, hydroponics, IOT, blynk cloud, zoho analytics, robotics urban farm system [RUFS]

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Vinutha Raju, S. Yashaswini, K. Panimozhi, "Survey on Aqua Robotics Urban Farm System," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.614-622, 2019.

Risk is a potential issue that may trade off the achievement of a product advancement venture. The success of a project is altogether impacted by the risk management. The exactness of risk assessment specifically impacts the adequacy of risk management. In this paper, we examine the chance components. The Risk-matrix has been inspected and a checklist is made to perceive the significance of the risk .This paper deals with the risk factors identified with risk estimation ,risk analysis, venture board, risk scope, prerequisites and hazard factors identified with client fulfilment .Here we are adopting a method which consists of 2 phases. The first one is the risk identification and second is the risk management planning. Identification of the risk involves analytical methods like a risk checklist which evaluates the risk and risk assessment matrix. In risk checklist the probability of occurrences is taken and the possible negative effects for each risk is identified. Management of the risk involves various measures to be adopted to reduce the probability of risk events and to reduce the negative impacts of the risk events.

software risks, risk management, risk classification, risk impact, risk identification, risk assessment, risk mitigation

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Angel P. Joshy , Natarajan K , Alok Kumar Pani, "An Innovative Approach for Risk Identification and Management in Software Projects," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.623-630, 2019.

The third industrial revolution brought in personal computers and the Internet. Like many sectors, the financial sector was also influenced by such digitalization and the internet, which resulted in the emergence of “FinTech”. The blockchain is one of the many transformative and disruptive innovations of FinTech. The blockchain, though is relatively a new technology, has the potentiality, that it can be used in various other applications. Like the internet, which influenced the world, the blockchain is also expected to transform various operating models of finance. This in turn may result in evolution of new disruptive technological innovations. In recent years, many financial/ trade institutions across the globe, have been observing very closely, the developments in blockchain technology. The way the blockchain provides the complete confidence – with consensus, disintermediation, time-stamped and immutable recording of the linked transactions’ history, in a distributed network – is attracted by several businesses. The blockchain can be adapted in IPR, finance, internet of things, and in any transaction for that matter. The blockchain can address the multi-party systems’ inefficiencies, resulting in benefits to all. Further, the smart contract feature is useful in complex business workflows. This paper discusses structure of blockchain, its types, features, and explores some of its applications in different fields.

Financial Technologies, FinTech, Blockchain, Disintermediation, Immutable, Openness, Industry 4.0

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Murali Mohan Kotha, "Blockchain for Trusted Future," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.631-634, 2019.

Keyloggers are hardware or software tools designed to record user’s keyboard strokes. They are a threat during authentication as they can capture important information from the target computers through secret installation. They are largely undetected by most anti-virus software. To prevent key logger attacks, virtual on-screen keyboard with random keyboard arrangement is used. Unfortunately, the key loggers have improved tremendously. They take control of the personal computer and can capture every event and read the video buffer. By using cryptographically strong keys and passwords information can be delivered securely to the user’s computer. But humans may not have sufficient memory to remember cryptographically strong keys. This can be solved by introducing an intermediate device that bridges humans and user terminal. The proposed authentication scheme is a password-based authentication method using a randomized onscreen keyboard. The scheme utilizes a smartphone as the intermediate device which contains the keys required for decryption. The encrypted contents are encoded into QR (Quick Response) codes. QR codes can be scanned using the smartphone. The user owns a user id and a password. The user terminal will display a blank keyboard and the QR code which carries the encrypted random permutation of keyboard arrangement. The QR code will be decoded using the intermediate device. Looking at the keyboard arrangement in the intermediate device the user needs to click the buttons on the blank keyboard to input the password. The use of IMEI (International Mobile Equipment Identity) of the smartphone prevents the attackers from using any other phones for authentication even if he knows the user-id, password and the key for decryption.

QR code, password based authentication, smartphone, IMEI

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Jayalekshmi K.S, "Foiling Keylogger Attacks using Virtual Onscreen Keyboard," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.635-639, 2019.

This paper include the study of voice over internet protocol, its architecture that how VoIP works , issues that occur in voice over internet protocol , VoIP codecs and many more .In the era of wireless communication technologies, the actual time services which includes data as voice (i.e Voice Over Internet Protocol ) is growing stupendously. Different applications of VoIP which includes SKYPE, GOOGLE TALK, etc. are used to provide economical voice calls to the end users. VoIP is technology used for communication so as to transmit voice and data over internet protocols. VoIP is used for IP telephony services which includes voice messaging ,calling, video messaging as well as video conferencing etc.

VoIP, VoIP Architecture, Quality of service and Measurement methods , Codecs

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Published 2015 in Multimedia Systems, DOI:10.1007/s00530-015-0468-3

Misha, Dalveer Kaur, "Primordial Abstraction of Voice over Internet Protocols (VoIP)," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.640-643, 2019.

Location recommendation assumes a basic job in helping individuals find appealing spots. In spite of the fact that ongoing examination has considered how to prescribe areas with social and topographical data, few of them tended to the chilly begin issue of new clients. Since portability records are regularly shared on interpersonal organizations, semantic data can be utilized to handle this test. A run of the mill technique is to nourish them into express input based substance mindful community oriented sifting, however they require drawing negative examples for better learning execution, as clients` negative inclination isn`t noticeable in human versatility. Be that as it may, earlier investigations have observationally appeared based strategies don`t perform well. To this end, we propose a versatile Implicit-criticism based Content-mindful Collaborative Filtering (ICCF) structure to join semantic substance and to avoid negative examining. We at that point build up a productive improvement calculation, scaling straightly with information size and highlight measure, and quadratically with the element of inert space. We further set up its association with chart Laplacian regularized framework factorization. At long last, we assess ICCF with a vast scale LBSN dataset in which clients have profiles and literary substance. The outcomes demonstrate that ICCF outflanks a few contending baselines, and that client data isn`t successful for enhancing proposals yet in addition adapting to cold-begin situations.

Implicit feedback; Content-aware; Location recommendation; Weighted matrix factorization

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B. SaiSrilekha, K.S. Yuvaraj, "Efficient and Effective Implicit-Feedback-Based Content-Aware Collaborative Filtering For Location Recommendation," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.644-648, 2019.

In the present day scenario, many times we see that the garbage bins or Dust bin are placed at public places in the cities are overflowing due to increase in the waste every day. It creates unhygienic condition for the people and creates bad smell around the surroundings this leads in spreading some deadly diseases & human illness, to avoid such a situation we are planning to design “IoT Based Waste Management for Smart Cities”. In this proposed System there are multiple dustbins located throughout the city or the Campus,these dustbins are provided with low cost embedded device which helps in tracking the level of the garbage bins and an unique ID will be provided for every dustbin in the city so that it is easy to identify which garbage bin is full. When the level reaches the threshold limit, the device will transmit the level along with the unique ID provided. These details can be accessed by the concern authorities from their place with the help of Internet and an immediate action can be made to clean the dustbins.

8051 micro-controller, RF module, IR Sensors, RF Transmitters, Intel Galileo Gen2, RF Receiver

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Md. Lutful Islam, Chaudhary Faizan, Shaikh Mohammad Abdul Quavi, "IOT Based Smart Garbage Monitoring System," International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.649-651, 2019.