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Grounded on communication theories, we propose to use a data-mining algorithm to detect communication patterns within a company to determine if such patterns may reveal the performance of the company. Specifically, we would like to find out whether or not there exist any association relationships between the frequency of e-mail exchange of the key employees in a company and the performance of the company as reected in its stock prices. If such relationships do exist, we would also like to know whether or not the companys stock price could be accurately predicted based on the detected relationships. To detect the association relationships, a data-mining algorithm is proposed here to mine e-mail communication records and historical stock prices so that based on the detected relationship, rules that can predict changes in stock prices can be constructed. Using the data-mining algorithm and a set of publicly available Enron e-mail corpus and Enrons stock prices recorded during the same period, we discovered the existence of interesting, statistically signi_cant, association relationships in the data. In addition, we also discovered that these relationships can predict stock price movements with an average accuracy of around 80 percent. Given the increasing popularity of social networks, the mining of interesting communication patterns could provide insights into the development of many useful applications in many areas.

Corporate communication, data mining, organizational, performance, stock prediction

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Asif G Sayyad, Nilesh R Wankhade, "Novel Approach for Detecting Stock Price Movements," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.191-196, 2019.

In today’s era, Facial Expression and recognition is a very challenging and fascinating subject with regards to field of AI and pattern recognition because of developmental psychology and human machine interface. For outward appearance designing classifiers with high reliability is a significant advance in this research. This paper represents a framework for person dependent expressions by combining all types of facial recognition types of facial by means of various multiple kernel learning in Support vector machines(SVM). We contemplated the impact of MKL for learning the piece loads and observationally assess the aftereffects of six fundamental expressions with impartial expression. included. In our investigations we have joined two mainstream facial element portrayals, dlib library and Multikernel SVM with polynomial kernel. Our experimental results on the cohn-Kanade face database as well as manually included database demonstrate that this framework out performs the state-of-arts, conventional techniques and straightforward MKL based multiclass SVM for facial expression recognition.

Facial Expression Recognition, Multikernel, Support Vector Machines

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Pratik Nimbal, Gopal Krishna Shyam, "Multitask sparse Learning based Facial Expression Classification," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.197-202, 2019.

In the last one decade, the utilization of mobile technology has increased tremendously. The development in the mobile technology is leading to the innovations in the smart phones. Now, smart phones are not only used for communication but also capable to support number of complex applications, mostly requires high computational power. Although these smart phones have several resource issues related to power capacity, data transfer, storage capacity, security and limited processing power etc. Power capacity is one of the most crucial issue of the current smart phones. However, mostly mobile devices emphasize on many power management functions to save the power but the overall saving is much less than actual requirement. In this situation, Mobile Cloud Computing provides good option of task offloading where any intensive computations are migrated to the remote servers or cloud. Mobile Cloud Computing is a new network paradigm which merged the features of mobile computing and cloud computing to overcome the issues of mobile devices. It can also be a power saving paradigm which needs serious attention. Thus, this paper proposed a novel approach for energy aware task offloading for mobile cloud environment.

Mobile Technology, Power Capacity, Mobile Cloud Computing, Task Offloading, Cloud Computing, Energy Aware Task Offloading

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Nancy Arya, Sunita Choudhary, S. Taruna, "Energy Aware Offloading in Cloud Assisted Mobile Environment," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.203-208, 2019.

Wireless sensor networks used the idea of mobile agent to reduce load on network and less energy consumption in comparison to client server based models and obtain effective data gathering. To alleviate the problem of significantly increased latency, data crowding and increased energy consumption in wireless sensor networks, mobile agents (MA) have been proved as the credible substitute to the basic client- server data gathering model. Particularly, in data gathering based on mobile agents, it is very essential to discover the optimal itinerary for the mobile agent dispatched by the sink. In this paper, the existing Mobile Agent based algorithms have been reviewed to address the issues related to data gathering. More significantly, the review showed the advantages and disadvantages of different algorithms and eventually it has also been noted that most of the planning approaches has not considered the security of the collected data by the mobile agent and authentication of the sensor nodes.

Data Gathering, Mobile Agent, Mobile Agent Itinerary, Wireless Sensor Networks, Sensor nodes

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Shivani Chaudhary, Umesh Kumar, Mohit Gambhir, "Review and comparison of Mobile Agent Itinerary Planning Algorithms in WSN," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.209-219, 2019.

The most recent ten years have seen an enormous development in the quantity of associated remote gadgets. In the meantime, every gadget needs a high throughput to help applications, for example, voice, constant video, motion pictures, and diversions. What`s more, there is a developing worry about vitality utilization of remote correspondence frameworks. In this manner, future remote frameworks need to fulfill three principle prerequisites: I) having a high throughput; ii) at the same time serving numerous clients; and iii) having less vitality utilization. Enormous different info various yield (MIMO) innovation, where a base station (BS) outfitted with huge number of reception apparatuses (gathered or disseminated) serves numerous clients in a similar time-recurrence asset, can meet the above prerequisites, and subsequently, it is a promising applicant innovation for next ages of remote frameworks. This paper is concentrated of Spread range framework used to defeat multipath engendering issues, to know its impact against blurring condition the presentation of spread range correspondence framework is tried under blurring channel condition.

Massive MIMO, TDD, FDD

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Srishti Dwivedi, Anubhuti Khare, "Performance Analysis of Massive MIMO System over FDD based Channel Estimation Technique," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.220-224, 2019.

Text and image data are important elements for information processing almost in all the computer applications. Uncompressed image or text data require high transmission bandwidth and significant storage capacity. Designing and compression scheme is more critical with the recent growth of computer applications. Among the various spatial domain image compression techniques, multi-level Block partition Coding (ML-BTC) is one of the best methods which has the least computational complexity. The parameters such as Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) are measured and it is found that the implemented methods of BTC are superior to the traditional BTC. This paves the way for a nearly error free and compressed transmission of the images through the communication channel.

Multi-level Block Truncation Code (ML-BTC), Bit Map, Multi-level Quantization (MLQ), Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE)

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[5] Jing-Ming Guo, Senior Member, IEEE, and Yun-Fu Liu, Member, IEEE, “Improved Block Truncation Coding Using Optimized Dot Diffusion”, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 23, NO. 3, MARCH 2014.
[6] Jayamol Mathews, Madhu S. Nair, “Modified BTC Algorithm for Gray Scale Images using max-min Quantizer”, 978-1-4673-5090-7/13/$31.00 ©2013 IEEE.
[7] Ki-Won Oh and Kang-Sun Choi, “Parallel Implementation of Hybrid Vector Quantizerbased Block Truncation Coding for Mobile Display Stream Compression”, IEEE ISCE 2014 1569954165.
[8] Seddeq E. Ghrare and Ahmed R. Khobaiz, “Digital Image Compression using Block Truncation
Coding and Walsh Hadamard Transform Hybrid Technique”, 2014 IEEE 2014 International Conference on Computer, Communication, and Control Technology (I4CT 2014), September 2 - 4, 2014 - Langkawi, Kedah, Malaysia.
[9] M. Brunig and W. Niehsen. Fast full search block matching. IEEE Transactions on Circuits and Systems for Video Technology, 11:241 – 247, 2001.
[10] K. W. Chan and K. L. Chan. Optimisation of multi-level block truncation coding. Signal Processing: Image Communication, 16:445 – 459, 2001.
[11] C. C. Chang and T. S. Chen. New tree-structured vector quantization with closed-coupled multipath searching method. Optical Engineering, 36:1713 – 1720, 1997.

Manjusha Gulabrao Kulthe, Priyanka Jaiswal, Bharti Chourasia, "High Quality Color Image Compression using DWT and Multi-level Block Partition Encoding-Decoding Technique," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.225-229, 2019.

In the present era of multimedia, the requirement of image/video storage and transmission for video conferencing, image and video retrieval, video playback, etc. are increasing exponentially. As a result, the need for better compression technology is always in demand. Modern applications, in addition to high compression ratio, also demand for efficient encoding and decoding processes, so that computational constraint of many real-time applications is satisfied. Two widely used spatial domain compression techniques are discrete wavelet transform and multi-level block truncation coding (BTC). DWT method is used to stationary and non-stationary images and applied to all average pixel value of image. Muli-level BTC is a type of lossy image compression technique for greyscale images. It divides the original images into blocks and then uses a quantizer to reduce the number of grey levels in each block whilst maintaining the same mean and standard deviation. In this paper is studied of Multi-level BTC and DWT technique for for gray and color image.

Discrete Wavelet Transform, Multi-level, Block Truncation Code (BTC), PSNR MSE, Compression Ratio

[1] Shuyuan Zhu, Zhiying He, Xiandong Meng, Jiantao Zhou and Bing Zeng, “Compression-dependent Transform Domain Downward Conversion for Block-based Image Coding”, IEEE Transactions on Image Processing, Volume: 27, Issue: 6, June 2018.
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[3] Sunwoong Kim and Hyuk-Jae Lee, “RGBW Image Compression by Low-Complexity Adaptive Multi-Level Block Truncation Coding”, IEEE Transactions on Consumer Electronics, Vol. 62, No. 4, November 2016.
[4] C. Senthil kumar, “Color and Multispectral Image Compression using Enhanced Block Truncation Coding [E-BTC] Scheme”, accepted to be presented at the IEEE WiSPNET, PP. 01-06, 2016 IEEE.
[5] Jing-Ming Guo, Senior Member, IEEE, and Yun-Fu Liu, Member, IEEE, “Improved Block Truncation Coding Using Optimized Dot Diffusion”, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 23, NO. 3, MARCH 2014.
[6] Jayamol Mathews, Madhu S. Nair, “Modified BTC Algorithm for Gray Scale Images using max-min Quantizer”, 978-1-4673-5090-7/13/$31.00 ©2013 IEEE.
[7] Ki-Won Oh and Kang-Sun Choi, “Parallel Implementation of Hybrid Vector Quantizerbased Block Truncation Coding for Mobile Display Stream Compression”, IEEE ISCE 2014 1569954165.
[8] Seddeq E. Ghrare and Ahmed R. Khobaiz, “Digital Image Compression using Block Truncation
Coding and Walsh Hadamard Transform Hybrid Technique”, 2014 IEEE 2014 International Conference on Computer, Communication, and Control Technology (I4CT 2014), September 2 - 4, 2014 - Langkawi, Kedah, Malaysia.
[9] M. Brunig and W. Niehsen. Fast full search block matching. IEEE Transactions on Circuits and Systems for Video Technology, 11:241 – 247, 2001.
[10] K. W. Chan and K. L. Chan. Optimisation of multi-level block truncation coding. Signal Processing: Image Communication, 16:445 – 459, 2001.
[11] C. C. Chang and T. S. Chen. New tree-structured vector quantization with closed-coupled multipath searching method. Optical Engineering, 36:1713 – 1720, 1997.

Manjusha Gulabrao Kulthe, Priyanka Jaiswal, Bharti Chourasia, "Survey of Color Image Compression using Block Partition and DWT Technique," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.230-234, 2019.

The ITS (intelligent transport system) is working on designing intelligent vehicles with the help of Vehicular Adhoc Networks (VANETs). The motivation behind the VANETs is to provide a safe journey to the passenger by avoiding hazardous situations on the road like accidents and to provide communication between the vehicles on the move in order to transfer different types of messages, be it emergency or infotainment messages. VANETs consists of V2V (vehicle-to-vehicle), V2I (vehicle-to-infrastructure) and hybrid communication with unique features like Rapidly Changing Network Topology, Unbounded Network Size, Delay-sensitive Data Exchange, Potential Support from Infrastructure which makes it different from the other adhoc networks like MANETs. Due to these features the routing protocols used for other adhoc networks cannot be directly used for VANETs. Various new modified routing protocols are designed for VANETs. In this paper we will be discussing a little about the routing protocols for VANETs, covering almost all the major protocols being used in VANETs. The major issue which we are dealing in this paper is handover. Handover is a technique for mobility management in fast changing VANET which makes it important topic for research, since mobility management is always been a major issue in adhoc networks. There is a good amount of research information available on the mobility management for adhoc networks and for VANETs but we have not found much information about handover in VANETs. So in this paper, we have discussed about different handover techniques used for VANETs and improvements in those techniques from time to time. We have covered almost all the handover strategies and improvements made in them in the past one decade. We have represented all the handover techniques in a tabular form based on the different characteristics and features. In the end we have also given the scope which will help future researchers in their research. The paper is going to be a help to the researchers new in the field.

V2V, V2I, DAD, RA, RSU, proactive, reactive, hybrid, unicast, multicast

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Poonam Thakur, Anita Ganpati, "Survey on Handover techniques in VANETs," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.235-248, 2019.

In the present paper, generalized differential transform method is used for obtaining the approximate analytic solutions of non-linear partial differential equations of fractional order. The fractional derivatives are described in the Caputo sense.

Fractional differential equations; Caputo fractional derivative; Generalized Differential transform method; Analytic solution

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Deepanjan Das, "Analytical Treatment for Solving a Class of Non Linear Fractional Differential Equations," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.249-254, 2019.

The objective of this paper is implementation of ACO algorithm on GPU to combat real life problems of road network identification along with an application focusing on renewable energy. GPUs are specialized microprocessors that accelerates graphics operation. Parallel processing is required when we consider a heavy code with so much of similar iterations. CUDA is NVIDIA’s architecture for parallel computing that is used for extensive parallel computing and increases the performance by employing the GPU (Graphical Processing Unit). We have Ant colony optimisation algorithm implementation that is a bit different than others. Also, we compare it with the sequential code and the results are that it is very fast as compared to sequential code. To deal with the execution of optimisation we will propose two different approaches, one will be the serial approach of the ACO algorithm to generate the network and other will be GPU / CUDA based approach. We will compare the execution time in both the cases and then find out the speed up. An applicability of this approach is for generating the best possible road network for city coordinates where we try to get the network with least cost. This is of immense applicability for developing countries where road networks are upcoming.

CUDA, GPU, Parallel Processing, travelling salesman problem, Road network identification

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Aayush Kapur, Nirut Gupta, "Finding the best network for laying renewable energy based solar panel roads: A GPU parallel algorithm implemented on CUDA," International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.255-260, 2019.