Internet plays a major role in the modern world. Nearly 3.2 Billion of people are using Internet. They use internet for all minor and major purposes like mails, Confidential and privacy text documents, social media, E-commerce, Banking etc. A few security measures like authentication, authorization systems are provided to them. There are several Encryption techniques such as RSA, DES etc. Apparently, somewhere in the world, hackers are cracking the Encrypted data and apprehending the keys and stealing the information asthe Encryption and Decryption are only based on the International Language English. They use some online sites and tools to steal the data with ease. To increase the level of security this Mod-ViC(Modified Vigenere Cipher) technique is proposed. It encrypts the plain text (English) to the regional language (Tamil). So the hackers cannot crack it easily even with the help of online crackers or any other tools.

Key words: Encryption, Decryption, Plain Text, Cipher Text, Substitution, Vigenere Cipher.

[1]. [ATU, 07] AtulKahte, "Cryptography and Network Security", Tata Mcgraw Hill, 2007. [2]. [BHA, 14] Bhadada, R., & Sharma, A. (2014, December).Montgomery implantation of ECC over RSA on FPGA for public key cryptography application. In 2014 2nd International Conference on Emerging Technology Trends in Electronics, Communication and Networking (pp. 1-5). IEEE. [3]. [BLA, 13] Blair, A. (2013, June). Learning the Caesar and Vigenere Cipher by hierarchical evolutionary re-combination.In 2013 IEEE Congress on Evolutionary Computation (pp. 605-612).IEEE.
[4]. [TAM, 15] Encryption Technology For Tamil Language (Tamilan Cipher) P.Thamizhikkavi ,Dr.S.Magesh, International Journal Of Science, Engineering And Technology Research (Ijsetr) Volume 4, Issue 4, April 2015
[5]. [RAJ, 13] English Encryption Technique Using Multilanguage , M.Rajendiran, K.Selvam , N.Ranjith Kumar, T.Venkatesh, International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 3, March - 2013 ISSN: 2278-0181

E-commerce websites become very popular and tremendous growth in product marketing. Customer satisfaction and effective fulfillment of customer needs are more important in e-commerce applications. To achieves effective results and feedback in e-commerce applications, the need for effectively gathering user reviews and feedback. However, the review collection and analysis became very challenging due to its size and unique nature early review prediction from the posted reviews in real-time large scale e-commerce websites are more challenging. So, the utilization of data mining will resolve these issues. There are numerous approaches and techniques proposed to handle these issues. This survey gives a description and study on those techniques with various factors. Especially, Top-K algorithms and Hidden Markov model techniques are more prominent techniques in this filed. Finally, the survey gives a conclusion about the merits and demerits of such techniques and navigates to the future scope.

Keywords: E-Commerce, Review Prediction, Data mining, Early reviewer, Early review, Embedding model, Top-K, Hidden Markov Model.

[1]. Sayli A. Hon, Pritee V. Shirsath, Sheetal K. Pendhari, ―Opinion Mining and Predicting Reviews for E-commerce ‖, International Journal of Scientific Research and Engineering Development-– Volume 2 Issue 3, May –June 2019.

[2]. D. Vetriselvi, D. Monisha, M. Monisha varshini, ―Predicting Review Ratings for Product Marketing‖, International Research Journal of Engineering and Technology, Volume: 06 Issue: 03 Mar 2019.
[3]. F. Femila, S. Janakipriya, R. B. Nivetha Sruthi, S. Rohini, ―Predicting Early Reviews for Effective Product Marketing on E-Commerce Websites‖, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, Issue 2, Volume 5, 2019.
[4]. Yoon-Joo Park, ―Predicting the Helpfulness of Online Customer Reviews across Different Product Types‖, Seoul National University of Science and Technology, 2018.
[5]. SunilSaumyaa, Jyoti Prakash Singh, ―Ranking online consumer reviews‖, Electronic Commerce Research and Applications, 2018.

Web content and applications from those data increase day by day. Online media platforms are the most important topic in the research field due to its popularity and necessity. Mining user opinions from that web content are more challenging. There are several methods available to detect and analyze the opinion from the huge web content. Aspect based opinion mining is a more popular and promising technique on opinion mining over online social media. In the literature, there are several promising approaches focused either on the topic or opinion modeling. However, the integrated part is missing to handle both. So, further innovation is still needed for developing an integrated aspect-based opinion mining model. To achieve the above many researchers found in the recent temporal gap. Many techniques are based on Latent Dirichlet Allocation (LDA) and few used word embedding techniques. Before developing a new Technique or approach for fining aspect-based opinion mining, the problem and real-time challenges on existing techniques should be examined. This survey brings a summary of those issues and gives a valid solution for the development.

Keywords: Aspect-based Opinion Mining; Latent Dirichlet Allocation (LDA); Dirichlet Process; Web Mining, Text Mining.

[1]. Soujanya Poriaa, Erik Cambria, Alexander Gelbukh, "Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network", Knowledge-Based Systems, 2016.
[2]. Chinsha T C, Shibily Joseph, "A Syntactic Approach for Aspect Based Opinion Mining", International Conference on Semantic Computing, 2015.
[3]. R. Varghese and M. Jayasree, "Aspect based sentiment analysis using support vector machine classifier," in Advances in Computing, Communications and Informatics, 2013.
[4]. A. Hogenboom, D. Bal, F. Frasincar, M. Bal, F. de long, and U. Kaymak, "Exploiting emoticons in sentiment analysis," ACM, 2013-
[5]. V. Singh, R. Piryani, A. Uddin, and P. Waila, "Sentiment analysis of movie reviews: A new feature-based heuristic for aspect-level sentiment classification,"IEEE, 2013.

Parkinson's disease research work is carried out in a systematic manner with the help of data mining techniques. Machine learning algorithms are used in the proposed work to diagnose the Parkinson's disease. Several researches made for disease classification. The proposed work aims to concentrate on the above issues by developing a new hybrid algorithm. For that, the proposed work utilizes a new hybrid classification algorithm named as Hybrid Multimodal Evolution Dense Support Vector Machine (HMEDSVM) classification algorithm to check the ability. The fitness is measured in this case. The HMEDSVM selects optimal feature in case of high dimensional incomplete datasets. The Parkinson's disease has several set of datasets which are complicated to process..............

Keywords: HMEDSVM, Disease Classification, Data Mining.

[1]. B. Senthil Kumar, Dr. R. Gunavathi, ―Ranked Cluster Based Adaptive Sampling with Gradient Boosting Classifier for Medical Data‖, IOSR Journal of Computer Engineering, 2018.
[2]. A., Miljkovic, D., Konitsiotis, S., Gatsios, D., Lavrač, N., & Robnik-Šikonja, M. (2018). Symptoms and medications change patterns for Parkinson's disease patient's stratification. Artificial Intelligence in Medicine (accepted).
[3]. A., Miljkovic, D., Lavrač, N., & Robnik-Šikonja, M. (2018). Analysis of medications changes in Parkinson's disease progression data. Journal of Intelligent Information Systems. doi:10.1007/s10844-018-0502-y
[4]. Valmarska, A., Miljkovic, D., Konitsiotis, S., Gatsios, D., Lavrač, N., & Robnik-Šikonja, M. (2017). Combining multitask learning and short time series analysis in Parkinson's disease patients stratification. In Proceedings of the Conference on Artificial Intelligence in Medicine in Europe (pp. 116–125). Springer.

Epilepsy is the fourth most common neurological disorder that affects almost 1% of the world population. Electroencephalogram contains significant amount of clinical information about epilepsy. Automatic epileptic seizure detection from electroencephalogram is one the most challenging task due to its unknown mechanism and patient specific epileptic pattern. Support vector machine based classifier have been used in several studies to classify epileptic activity from healthy brain activities. In this study, a relative performances of Support Vector Machine Kernel Functionsare evaluated for epileptic seizure detection. Firstly, electroencephalogram segment is decomposed with empirical mode decomposition method to produce subband signals called intrinsic mode function........

Keywords: Electroencephalogram, Epileptic Seizure, Empirical Mode Decomposition, Coefficient of Variation, Fluctuation index, Support Vector Machine, Kernel Function.

[1] F. Mormann, R.G. Andrzejak, C.E. Elger, K. Lehnertz, ―Seizure prediction: the long and winding road,‖ Brain 130 (2) (2007)314–333.
[2] H. Witte et al, ―Special issue on epileptic seizure prediction, IEEE Transactions on Biomedical Engineering, vol. 50, no. 5, pp. 537–539, May 2003.
[3] J. Gotman, ―Automatic recognition of epileptic seizures in the EEG,‖ Electroencephalogr. Clin. Neurophysiol. 54 (5) (1982) 530 – 540.
[4] Ali Shoeb, John Guttag, ―Application of Machine Learning To Epileptic Seizure Detection,‖ ICML'10 Proceedings of the 27th International Conference on International Conference on Machine Learning, Pages 975-982, Haifa, Israel — June 21 - 24, 2010.
[5] R. Panda, ―Classification of EEG Signal Using Wavelet Transform and Support Vector Machine for Epileptic Seizure Diction,‖ International Conference on Systems in Medicine and Biology, IIT Kharagpur, India, 16-18 December 2010.

Wastewater treatment is always an urgent issue. Especially, the wastewater after the biogas plants does not have adequate attention. In wastewater treatment studies, the use of biological measures is the first priority. From the wastewater samples after the biogas plants, 3 bacterial strains isolated which is highly capable of cellulase biosynthesis identified as NT01, NT03 and NT05. The paper presents the biological, morphological, physiological and biochemical characteristics of 3 strains are all thermophilic, suitable pH 5 ÷ 8. They are capable lysis of CMC, starch and dilution of gelatin. Cellulase biosynthesis of NT01 strain reaches 2.28 IU/ml, NT03 strain reaches 2.14 IU/ml and NT05 strain reaches 2.12 IU/ml. Identification of the behavior of the strains in which the optimal growth time is 42 hours, the growth of the NT01 strain reaches 2,155, the strain of NT03 reaches 2.89, the NT05 strain reaches 2.715. Use of 50CHB Kit, molecular biology technique 16S rARN to do species identification: the NT01 species is B. licheniformis NT01, the NT03 strain is B. subtilis NT03 and the NT05 strain is B. megaterium NT05.

Keywords: Wastewater, treatment, biogas, cellulase, behavior.

[1]. Le Tran Binh, Phan Van Chi, Nong Van Hai, Le Quang Huan., Application of molecular techniques in Vietnamese biological research, Science and Technology Publishing House, Hanoi, 2003.
[2]. Nguyen Lan Dung, Nguyen Dang Duc, Dang Hong Mien, Nguyen Vinh Phuoc, Nguyen Dinh Quyen, Nguyen Phung Tien, Pham Van Ty, Some methods of microbiological research, volume 2, Science and Technology Publishing House, 1976, Hanoi.
[3]. Bernfeld, A. P., Methods in Xenlulazaology, 1995, volume1, pp.149-158.

The mechanisms involved in muscle adaptations from different resistance training protocols are still not completely understood. The aim of this study is to develop an EMG device with a supervisory system that records intensity and time duration of concentric and eccentric phases of a muscular contraction. An electronic circuit was developed with an instrumentation amplifier INA118P, a bandpass filter 30 a 150 Hz, and a rectifier. The analog signal was converted to a digital signal using a 10-bit A/D converter that is part of the Arduino NANO (Atmega328p) microcontroller, which sends data via serial communication to a supervisory system that processes and displays data in graphs and tables. A usability system test was performed by four experts using the SUS scale. Also, the system validation test was performed by the researcher who developed the device by recording simultaneously EMG signals from his muscle fibers using two different electromyography devices – EMG Comercial...........

Keywords: Electromyography, EMG, Device.

[1]. Michael, M., Glenn W., and Steven F, Strength Training for Athletes: Does It Really Help Sports Performance?, International Journal of Sports Physiology and Performance, 7, 2012, 2-5.
[2]. Kris, B., Ian, K., Mark, L., and Brian, C, The Effect of Strength Training on Performance in Endurance Athletes, Sports Med44, 2014, 845–865.
[3]. Lesinski, M., Prieske, O., and Granacher, U, Effects and dose-response relationships of resistance training on physical performance in youth athletes: a systematic review and meta-analysis, Br J Sports Med.,50, 2016, 781-95.
[4]. Douglas, J., Pearson. S., Ross. A., and McGuigan M, Chronic Adaptations to Eccentric Training: A Systematic Review, Sports Med.,47, 2017, 917-941.
[5]. Manimmanakorn, A., Manimmanakorn, N., Taylor, R., et al., Effects of resistance training combined with vascular occlusion or hypoxia on neuromuscular function in athletes, Eur J Appl Physiol., 113, 2013, 1767-74.

Internet contents are increasing every day with lots of dynamic content and heterogeneous data‟s. Web content mining is the most important research topic in the recent trend due to its popularity and necessity. Mining user opinions from that web content are more challenging and exigent task. There are several methods available to detect and analyze the opinion from the massive web content from various applications. Aspect based opinion mining is the most popular and promising technique and has tremendous growth day by day. In the literature, there are several promising approaches proposed for opinion mining. The techniques either focused on the topic or opinion modeling. However, the integrated part is missing to handle both. So, further innovation is still needed for developing an integrated aspect-based opinion mining model..........

Keywords: Opinion Mining, PABOM-SL, Dirichlet Process, CAMEL-DP techniques.

[1]. Soujanya Poriaa, Erik Cambria, Alexander Gelbukh, "Aspect Extraction for Opinion Mining with a Deep Convolutional Neural Network", Knowledge-Based Systems, 2016.
[2]. M. Lippi and P. Torroni. Argumentation mining: State of the art and emerging trends. ACM Trans. Internet Techn., 16(2):10, 2016.
[3]. Chinsha T C, Shibily Joseph, "A Syntactic Approach for Aspect Based Opinion Mining", International Conference on Semantic Computing, 2015.

[4]. M. Zhang, Y. Zhang, and D. Vo. Neural networks for open domain targeted sentiment. In L. M`arquez, C. Callison-Burch,J. Su, D. Pighin, and Y. Marton, editors, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21,2015, pages 612–621. The Association for Computational Linguistics, 2015.
[5]. M. Pontiki, D. Galanis, H. Papageorgiou, S. Manandhar, and I. Androutsopoulos. Semeval-2015 task 12: Aspect based sentiment analysis. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 486–495, Denver, Colorado, June 2015. Association for Computational Linguistics.,

The wear behaviors of aged high conductivity Cu-Be alloy dry sliding against a steel counterface were investigated on a pin-on-disk wear tester under electric current conditions [3]. The microstructure and the worn surfaces of the aged high conductivity Cu-Be alloy were investigated by scanning electron microscope (SEM) and energy-dispersive spectroscopy (EDS). The results indicated that the aging treatment had an effect on the microstructure, hardness and wear resistance of high conductivity Cu-Be alloy. The hardness values for the alloy reached the peak hardness after an aging treatment at 500 °C for 3 h and over-aging occurred at higher temperature. Both the coefficient of friction and wear loss increased as a small electrical current was applied and decreased as the electrical current density increased. Adhesive wear, abrasive wear and electrical erosion were the dominant mechanisms during the electrical sliding processes. The alloy treated at 500 °C for 3 h exhibited much better wear resistance.

Keywords: electrical erosion, sliding wear, high conductivity cu-be alloy, aging treatment.

[1] ASM Metals Handbook, Heat Treating, 04, 2004.
[2] ASM Metals Handbook, Metallography and Microstructures, 09, 2004.
[3] H.B. Yildiz, M. Yaşar, Examination of tribological behaviors of aged Cu-Be alloys, Metallofiz Nov Tekh+, 29 (12), 2007, 1659-1672.
[4] R. Monzena, Y. Takagawaa C Watanabe, D. Teradab and N. Tsujib, Mechanical properties of precipitation strengthening Cu-base alloys highly deformed by ARB process, Procedia Engineering 10, 2011, 2417–2422.
[5] N. Chauhan, C. Jariwala, P.M. Raole, J. Alphonsa, G. Jhala, A. Chainani, P.I John, Electronic structure, microstructure, and crystal structure of the precipitation-hardened alloy Cu98Be1.8Co0.2, Physical Review B 7, 2005, 104-202.

One of the main parameters in the verification of meat quality is pH because it affects its organoleptic qualities. The objective of this work was to assess the quality of the meat that is sold in the tenths (butchers) of the city of Zaruma, El Oro, Ecuador, by determining the pH, to establish the characteristics of the product offered to consumers. The study material was meat from animals slaughtered in the municipal slaughterhouse and sold in the five butchers of the Municipal Market Zarumeño. The pH of the meats was obtain according to the post-slaughter time, by a proper digital pH meter calibrated meats (pH 7) and whose sensor was washed with distilled water after each sample was taken. The measurement times were at 10 minutes and at 10, 16 and 34 hours post-slaughter..........

[1]. Alvarez Díaz, C., Pérez, H., De la Cruz Martín, T., Quincosa, J., & Sánchez, A. (2009). Fisiología Animal Aplicada. Editorial 380 Pág. Universidad de Antioquia. Colombia. .
[2]. Andújar, G., Pérez, D., & Venegas, O. (2009). Química y bioquímica de la carne y los productos cárnicos. . La Habana. Cuba: Editorial Universitaria. Obtenido de https://anatomiayplastinacion. wikispaces.com/file/view/Quimica+y+bioquimica. pdf
[3]. Castrillón, W., Fernández, J., & Restrepo, L. (2005). Determinación de carne PSE (pálida, suave y exudativa) en canales de cerdo. Revista de la Facultad de Química Farmacéutica, Universidad de Antioquia, Medellín-Colombia, 12(1), 23-28. Obtenido de http://www.scielo.org.co/pdf/vitae/v12n1/ v12n1a03.pdf
[4]. D.B., V., Ramírez, E., Rubio, M., & al., e. (2011). Manual de Análisis de Calidad en Muestras de Carne.Queretáro. Mejico. Folleto Técnico No. 11. Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Aimnal. .
[5]. Fernandez, X., & Tornberg, E. (1994). The influence of high post-mortem temperature and differing ultimate pH on the course of rigor and ageing in pig Longissimus dorsi muscle. Meat Sci., 36 (3), 345-63. doi:10.1016/0309-1740(94)90131-7.

Air-conditioning is the process of controlling temperature, humidity, motion and purity of the atmospheric air in confined space. In the recent years have seen the increase in demand of air conditioning due to the global warming. Present air conditioning systems are work on VCR (vapour compression refrigeration) system & this system is expensive and have many other problems such as difficult to install, bulky system, required more space, Compressor is main component of VCR system which creates noise and vibrations. So, there is a need to find out the new system which can become an alternative to VCR system. After making the research survey on air conditioning technologies we got that Thermoelectric Cooling can become an alternative to VCR. So that in this work we have gone through the study of TEM, Validation of Thermoelectric Module & Fabrication of a prototype model for the experimental analysis of thermoelectric cooling (TEC) system to check its performance as compare to VCR system.

Keywords: VCR (vapour compression refrigeration), TEM (thermoelectric module), TEC (thermoelectric cooling)

[1]. Lon E Bell, "Review of Various Application of Thermoelectric Module" International Journal of Innovative Research in Science, Engineering and Technology, Volume5, Issue3, March2016,DOI:10.15680/IJIRSET.2016.05031233393.
[2]. "Brief History of Thermoelectric, Thermoelectric Effect Early Study of Thermoelectricity"1820_1920.//www.thermoelectrics .caltech.edu/thermoelectrics/history.html.
[3]. Lon E Bell, "Cooling ,heating, generating power and recovering waste heat with thermoelectric system. "Science 321(5895)/2008
[4]. Manoj K Ravat, Himadari Chattopadhyay, Subhashish Nevgi,"A Review on development of thermoelectric R&AC systems: a novel potential green R&AC tech" International General of Emerging Tech. & Advance Engg.3(3),362/367, 2013
[5]. Dongxiang Zhao, Gang Tan, "A review of thermoelectric cooling: material modelling and application." applied thermal Engg. 66(1-2),15-24, 2014.