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The predominance of web-based entertainment is growing step by step y. Individuals of all age bunch are horribly intrigued by long range informal communication. Web-based entertainment associates individuals from various areas of the planet. In any case, online entertainment might have a few aftereffects, for example, digital tormenting, which might adversely affect the existence of individuals. Research shows that youngsters and teens are the fundamental survivors of this digital assault. Through the virtual entertainment, individuals share their considerations and feelings with their companions. There are enormous quantities of misrepresentation accounts in virtual entertainment. Digital tormenting is the point at which somebody, disturb others via web-based entertainment locales. Certain individuals use it for digital assault by offering negative remarks on others post. One method for handling this issue is to identify those harassing messages and scramble it. AI procedures make programmed identification of digital tormenting messages. Weka is a power full AI instrument which can be utilized for this reason. A mix of grouping and lexical algorithms can recognize regardless of whether a message is harassing.

Machine learning, Weka, Classification algorithms, Lexical analysis

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Jinu P Sainudeen, Sujitha M, Simy Mary Kurian, Neethu Maria John, "A Machine Learning Approach towards Social Media to Improving the Performance," International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.956-960, 2019.

Client can share their own data like pictures with different clients through satisfied sharing destinations. Tragically the security of transferred pictures in satisfied sharing site become a significant issue. To conquer this issue CHUI based Privacy Policy Prediction system and NPK for protection strategy based picture search are presented. CHUI ( Closed High Utility Itemsets) based Framework decides the best protection strategy for the transferred pictures and NPK (Non-Parametric Kernel) for picture search in secure way.

CHUI, NPK, A3P, Adaptive Policy

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Neema George, Neena Joseph, Merlin Mary James, Simy Mary Kurian, "Policy Prediction and Image Search on Content Sharing Sites," International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.961-965, 2019.

Sentiment Analysis is the extraction of emotions from written or spoken sentences to get a broader and clearer view of the user`s point of view. Their emotions significantly impact people`s lives. Organizations can benefit from these feelings by gaining enormous earnings, the confidence of their clients, and their devotion. Sentiment analysis is gaining popularity in implementing better CRM functionalities for large and small firms. This paper presented a comprehensive literature review of various Indian regional Languages. Moreover, it presented challenges like Explicit rejection of feelings, diagnosing sarcasm, etc. This paper also provides future direction for improving the result of accuracy by the right mix of algorithms.

Sentiment Analysis, Emotion analysis, Indian regional Languages, Hindi, Marathi

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Sunil D. Kale, "Sentiment Analysis on Indian Regional Languages: A Comprehensive Review," International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.966-974, 2019.

Healthcare is given the extreme importance now a- days by each country with the advent of the novel corona virus. So, in this aspect, an IoT based health monitoring system is the best solution for such an epidemic. Internet of Things (IoT) is the new revolution of internet which is the growing research area especially in the health care. With the increase in use of wearable sensors and the smart phones, these remote health care monitoring has evolved in such a pace. IoT monitoring of health helps in preventing the spread of disease as well as to get a proper diagnosis of the state of health, even if the doctor is at far distance. In this paper, a portable physiological checking framework is displayed, which can constantly screen the patient’s heartbeat, temperature and other basic parameters of the room. We proposed a nonstop checking and control instrument to screen the patient condition and store the patient’s information in server utilizing Wi-Fi Module based remote correspondence.

Internet of Things, Health, Sensors, MATLAB

[1] RM-IoT: An IoT-based Rapid Medical Response Plan for Smart Cities (2019 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS), Prabha Sundaravadivel, 2019.
[2] IOT based Patient Health Monitoring System with Nested Cloud Security (2018 4th International Conference on Computing Communication and Automation (ICCCA), Ashvini Kamble, 2018.
[3] An IoT Wi-Fi Connected Sensor For Real Time Heart Rate Variability Monitoring (2018, IEEE Third International Conference on Circuits, Control, Communication and Computing), Rama Reddy Rajanna, 2018.
[4] Arduino based Wireless Heart-rate Monitoring system with Automatic SOS Message and/or Call facility using SIM900A GSM Module (2019 International Conference on Vision Towards Emerging Trends in Communication and Networking, Saikat Mukherjee.
[5] IoT Based Portable ECG Monitoring Device for Smart Healthcare (2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)), Ashish Birajdar, 2019.
[6] Sambit Satpathy, Prakash Mohan, Sanchali Das, and Swapan Debbarma, “A new healthcare diagnosis system using an IoT-based fuzzy classifier with FPGA”, The Journal of Super computing, pp.1-13, 2019.
[7] Fatma Patlar Akbulut, and Aydin Akan, “A smart wearable system for short-term cardiovascular risk assessment with emotional dynamics”, Measurement, Vol.128, pp.237-246, 2018.
[8] Aieshwarya. B. Chavan Patil, “An IoT based health care and patient monitoring system to predict medical treatment using data mining techniques: Survey”, International Journal of Advanced Research in Computer and Communication Engineering, Vol.6, no.3, 2017.
[9] Chao Li, Xiangpei Hu, and Lili Zhang, “The IoT- based heart disease monitoring system for pervasive healthcare service”, Procedia computer science, Vol.112, pp.2328-2334, 2017.
[10] Zafer Al-Makhadmeh, and AmrTolba, “Utilizing IoT wearable medical device for heart disease prediction using higher order Boltzmann model: A classification approach”, Measurement, Vol.147, pp.106815, 2019.

Romsha Sharma, "An IOT-Based Automated Patients Health Monitoring System," International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.975-978, 2019.

In this paper a simple and light weight microstrip patch antenna has been presented. This antena is designed on a FR-4 substrate with dielectric constant of 4.3 and 1.6 mm thickness. The designed antenna is simmulated and anyalized for Body-centric Wireless Communication (BCWC) application, which operates at 5.126 GHz Industrial, Scientific and Medical (ISM) Hyper Local Area Network (LAN) band. Antenna is designed with dimensions of 13.2x18.6x1.6 mm3. A parametric study has been carried out which shows a return loss of -31 dB and gain of 3.8 dBi at the designed frequency. The software used for simulation of this antenna is IE3D HyperLynx Zeland. A probe fee is used to excite the antenna.

ISM band, BCWC, patch antenna, coaxial feed.

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Jaget Singh, "Body-centric Wireless Communication (BCWC) Application Microstrip Patch Antenna," International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.979-981, 2019.