bluuebunny/crossref_metadata_2025 huggingface dataset:
(الحماية الدولية للمدنيين في النزاعات المسلحة (دراسة تحليلية
Authors: الحيالي أزهار
Published: October 2020

The international arena has witnessed a number of armed conflicts (both international and non-international), which have had a severe impact on all humanity. Most of these attacks
have been perpetrated against civilians who have been protected by international laws and conventions. However, they have not been sufficient. The distinction between combatants and non-combatants in the conflict has become less evident in the civilian population centers, as well as the increasing participation of civilians in tasks and activities more closely linked to the conduct of hostilities, A strong will is required to make more efforts to activate these rules and mechanisms by intensifying international efforts to rework these rules to keep abreast of recent developments in the means of fighting to ensure effective international protection, while activating and establishing new monitoring and investigation mechanisms and effective means to ensure the implementation of and respect for international humanitarian law by all parties States and international and regional organizations.
الحماية القانونية للمتضرر من التلوث الالكتروني من لابراج الاتصال
Authors: خورشيد محمد , علي اميرة
Published: October 2020

tract
One of the most important problems facing the environment is the difficulty of recycling electronic waste, because its components contain lead, mercury and some toxic substances. These include communication towers, mobile devices and their means of their operation such as televisions, computers, video cameras, Thus, the Iraqi legislator has determined the responsibility of the communication companies for
the damage caused by the text of Article 231 of the Iraqi Civil Code, which stipulates the following: - (Anyone who has at his disposal mechanical devices or other things that require
special attention to prevent their harm, Be liable for any damage caused unless it is proved that he has taken due care to prevent the occurrence of such damage, taking into account the special
relevant rules. However, there are some developments that make this text not enough to deal with the corporato responsibility of the electronic pollution for communication towers.
Therefore, we recommend the Iraqi legislator to add a paragraph to Article (11) of the Environment Protection and Improvement Act No. 27 of 2009 to become as follows (1) to prevent entities with activities affecting the environment from performing their work without obtaining the approval of the Ministry. 2- Morality is canceled if it is proved that the damage caused by the project is greater than estimated in the report submitted to the administrative authority).
حقوق النازحين في القانون الدولي الإنساني
Authors: Younis Parez
Published: October 2020

Displacement is one of the most important problems facing the international community in general and the countries who have apolitical problems and armed conflicts in particular. The number of displaced persons is increasing day by day. The international
community, especially through international humanitarian law, tries to pay attention to these people and provide the basic rights and daily necessities for their necessary living. But
it failed to reach to an international agreement to protect their fundamental rights, But the efforts have been made in terms of providing the necessary assistance, but it was not
sufficient, but the rights of them from our point of view includes two main parts, the first is the basic rights of living during the period of displacement and included in the areas of
security, protection, health and education, the requirements of daily life, The right to return to the original citizen and enable them to do so, and the other is the right to recover the
property they forcibly evicted during the period of escape from the dangers that threatened them and create a new environment for their previous life .
التحكيم كحل بديل للمنازعات التجارية
Authors: سعيد حاتم
Published: October 2020

Arbitration is one of the alternative solutions for resolving commercial disputes. It is an exceptional way based on the will of the parties and the parties resort to it to resolve the dispute without the competent court. Arbitration is an old tool, but its importance has increased recently due to the development of trade and economic relations and the emergence of new business contracts, with increasing disputes in this area between contracting parties. The arbitrators are brought to arbitration for the characteristics of being a quick and effective means of settling commercial disputes, The arbitrators of one case, are aware of their technical assets. Thus, the length of judicial proceedings can be avoided. The dispute is settled by a final, neutral, secret and decisive ruling, which is an important consideration in commercial transactions. Opinions differed as to the legal nature of arbitration between nature (decadent, judicial, composite, independent).
الحماية الدستورية والادارية للبيئة من التلوث
Authors: خلف انتصار , خضر رائد
Published: October 2020

Based on the constitutional principle contained in most constitutions of the world on the human right to live in a clean and sound environment, the protection of the environment from
pollution has become a goal of all countries in their domestic legislation through the adoption of texts and sanctions deterrent to protect the environment from any pollution and no longer
This protection is limited to the rules of internal law, but has become a target sought by the rules of international law and to link this protection of the basic human rights sought by the
rules of international humanitarian law, especially as our societies are witnessing technological progress in all areas of life, Led to this development is accompanied by a contaminated environment portends risks of dire consequences on human health and the
prosperity and progress of society.But the interesting thing in our time is that modern man builds on the one hand and destroys
in terms of not feeling on the other hand, making machinery and advanced equipment and erecting giant factories, while at the same time deleting years from the agenda of his life and bringing his end to his hand while dreaming of more life and rest And this is the basis for the protection of the environment is a matter of life or death, which necessitated the need for legal means to ensure the protection of the environment from pollution, and this is discussed in our research through the study and analysis of legal texts on the protection of the environment through the approved by the Iraqi Constitution of 2005 in force and Law of the improvement of the Iraqi environment No. (27) for the year 2009 in force, and other legal legislation that dealt with the subject above.
دور منهج حقوق الأنسان والديمقراطية في ترسيخ مفهوم حقوق الأنسان لدى طلبة قسم العلوم التربوية والنفسية من وجهة نظرهم
Authors: حميد صدام
Published: October 2020

The Amis of current research is to identify the role of the human approach rights and democracy in the consolidation of the human concept of the rights of the students of Department of Educational and psychological sciences from their point of view, the sample consisted of (45) students who are studying human rights and democracy in College of Education for Human Sciences at (2016-2017). In order to achieve the objective of the
research, the researcher prepared a questionnaire consisting of (32) verifiable and validated, and then applied to the members of the research . After collecting the data and statistical
analysis, the percentage as well as (z-test) ratios obtained, researcher found the following results: 1.there is moderate proportion of the role of human rights and democracy approach to the consolidation of the concept of human rights of the students of the Department of Educational and psychological sciences from their point of view. 2.There is a significant difference between the mean scores with the role of human rights and democracy approach to the consolidation of the concept of human rights for members of the sample according to gender.
The researcher took a series of conclusions and recommendations and proposals .
مظاهر استخدام القوة في الحرب الاستباقية
Authors: الحديد طلعت , يونس بريز
Published: October 2020

The Issue of preemptive war and the protection of States against the dangers and
threats they face is a process that facilitates rectifying things and carrying out defensive operations that gave rise, in turn, to the legal capacity through repeating and stating them in the international agreements. Self-defense in international law is very similar to the right of defense in the national laws of states which consider the individual’s protection and survival as having the priority over the violator or the enemy. In order tackle all the aspects of the topic, the researchers have tried to divide the study into two main sections. The first section is about the definition of preemptive wars and the scholars’ opinions through two subsections: the first gives the definition of pre-emptive war, and the second tackles the requirements and the motivations of the preemptive war. While the second section which falls in two subsections is related to the role of the international organizations in defining these wars and their mechanisms. The first subsection is about the role of the League of Nations, and the .second is about the role of the United Nations in such wars
دراسة قانونية حول مشروع تعديل قانون الجنسية العراقية رقم(26) لسنة 2006
Authors: عبد الصمد هلو
Published: October 2020

Nationality is a legal, political and spiritual bond that binds individuals to states. It is the means that distributes individuals between countries. Through nationality, the component of
people is determined in every country; ie people who hold the nationality of a specific country are considered its citizens. By contrast, those who do not hold the nationality of the same
country are foreigners, even if they have permission to stay on its ground. In general, there are three laws enacted to regulate nationality in Iraq: The first of which was the Nationality Law
No. 42 in 1924, which was legislated after the establishment of the Iraqi state. However, this law was repealed and replaced by the Iraqi Nationality Law No. 43 in 1963. The latter sparked widespread controversy, especially after the change of the political system in Iraq, including the amendments made to it by the dissolved Revolutionary Command Council. Therefore, changing this law was a priority for the Iraqi parliament after the fall of the previous Iraqi regime in 2003. Indeed, this law and all decisions related to it were formally repealed by the Iraqi parliament in 2006 and replaced by the new Iraqi Nationality Law No. 26 in 2006. However, this law contains many legal and political criticism, especially regarding dual nationality. In addition, the law contains some other controversial cases regarding imposing original nationality and granting nationality through Iraqi mother and other legal disputes related to the recovery of a lost nationality and many other legal problems. Therefore, the Iraqi legislator has prepared a draft to amend the current Iraqi
nationality law. In this study, we will highlight the most important points included in this project. We will also indicate the extent to which this project respond to the requirements ofsociety. Finally, we will address the legal problems surrounding the current Iraqi Nationality Law.
Intellectual capital and vocational training in enterprises: a case study in Binh Duong province
Authors: Nguyen Hoa T.M. , Ha Anh T.
Published: October 2020

Staff training is considered as an effective tool to help organizations and businesses develop sustainable competitive advantage based on human resources. However, the investment of enterprises in this training activity is still very limited. The article provides an thorough understanding of why businesses do not emphasize human resource training. The analysis results imply that the enterprise's decision to invest in vocational training may depend on the Intellectual capital of employees. Vocational training is reflected from the experimental research on 983 workers in more than 100 enterprises and from group discussions of managers, employers and teachers, with more than 60 people in Binh Duong Province. The analysis (quantitative methods - Correlation and multivariate Binary logistic regression, and qualitative methods - in-depth interviews and focus group discussions) in the context of high demand for human resources in Binh Duong Province, indicates that: (1). The Intellectual capital of the human resources is not high; (2). The proportion of employees receiving training in enterprises is very low; (3). This opportunity mainly belongs to the qualified labour. Therefore, recommendations are proposed to promote vocational training for the workforce in Binh Duong Province in the future.
Fiberoptic Endoscopic Examination of Swallowing (FEES) Evaluation in Post Stroke Patients
Authors: Zuleika Puspa , Abla Ghanie  , Adelien  , Indriati Purwasari
Published: October 2020

Introduction. Complications caused by post-stroke dysphagia increase the morbidity and mortality of patients. Although it has a significant effect on the functional abilities and worsening of the patient's prognosis, post-stroke dysphagia is still under-noticed and often undiagnosed. The importance of knowing the incidence of post-stroke dysphagia, not only to determine its relationship to the pathology of the disease but also to determine treatment plans or follow-up interventions. This study aims to determine the incidence of FEES findings in post-stroke dysphagia both hemorrhagic and non-hemorrhagic stroke.

Methods. Forty post-stroke patients in the Inpatient and Outpatient Installation of the THTKL Section and the Neurology Section of Dr. Hospital. Mohammad Hoesin Palembang conducted a FEES examination to see leakage, residue, penetration, and aspiration after being given six different types of food boluses ranging from filter porridge, rice porridge, oatmeal, water, milk, and biscuits. The results of the assessment are recorded and analyzed descriptively.

Results. From 40 research subjects found 25 people experiencing dysphagia, where subjects with non-hemorrhagic stroke types were 21 people (52.5%), while hemorrhagic stroke types were four people (10%). The occurrence of leakage of filter porridge was 5 findings, leakage of rice porridge was eight findings, oatmeal leakage, water, and milk were seven findings each, and biscuit leakage was two findings. The incidence of filtered pulp residues was 12 findings, rice porridge residues were 14 findings, oatmeal residues were 15 findings, water and milk residues were five findings each, and biscuit residues were eight findings. The incidence of penetration of filter porridge, rice porridge, and biscuits was one finding each, oatmeal penetration was not found, while water and milk penetration were six events each. The aspirations of filter porridge, rice porridge, oatmeal, and biscuits were not found, while water and milk aspirations were seven findings.

Conclusion. The incidence of dysphagia in post-stroke patients both hemorrhagic and non-hemorrhagic in the Inpatient and Outpatient Installation of the THTKL Section and the Neurology Section of the Mohammad Hoesin Hospital Palembang Palembang is quite high at 62.5%. The occurrence of food residues is the most FEES findings. While aspirations are the fewest findings.
The Effect of KatG S315t M. Tuberculosis Gene Mutation on Conversion Rate of MDR-TB Patients with Shorter-Course Treatment
Authors: Linda Andriani Raden Ayu , Zen Ahmad
Published: October 2020

Background. Resistance to the INH drug is most often caused by a mutation of the KatG S315T M.Tb gene. MDR TB treatment with short-term WHO mixes using high-dose INH drugs is considered less effective in this mutation condition because it causes high resistance to INH. The effectiveness of MDR TB treatment can be seen from the sputum smear conversion rate. This study was aimed to determine the effect of the S315T katG gene mutation on the treatment response of patients with MDR TB who received WHO short-term alloys at Dr Moh Hoesin general hospital, Palembang, Indonesia.

Method. This study uses observational analytic with a prospective cohort approach. The study subjects were MDR TB patients at Dr Moh Hoesin general hospital, Palembang, Indonesia, and a PCR-RFLP examination was performed to see the katG gene, followed by sputum smear evaluation at the end of the first and second months of treatment to assess the speed of conversion. Data analysis using SPSS 25 with the chi-square statistical test.

Results. The frequency of katG S315T M.Tb gene mutations was 51.85%. The majority of MDR TB sufferers experience rapid conversion (92.59%). 64.29% of the katG S315T gene mutation group experienced sputum smear conversion after one month, 28.57% after two months, and 7.14% after three months of treatment. There was no significant difference in conversion speed in the two groups (p = 0.741).

Conclusion. There was no effect of the S315T M.Tb katG gene mutation on the speed of sputum smear conversion of MDR TB patients who received short-term alloy treatment.
The Role of Peer-group Influence and Neurobiological Factors in Internet Gaming Disorder
Authors: Kusumastiwi Tesaviani
Published: October 2020

Abstract

Internet game disorder (IGD) is characterized as an excessive and uncontrolled game designed for functional problems or difficulties. During the last discussion, uncontrolled internet games have resulted in public health and social problems around the world. Although brave games are more accessible in young adulthood, brave game disturbances are more experienced by teens. Teenagers and young adults are strong predictors of overcoming the challenges of online game addiction, besides peer-group factors in adolescents, and neurobiological factors that influence the influence of internet gaming disorders. This literature review will discuss the influence of peer groups and neurobiological factors that underlie the expenditure of internet games in their teens.
Prevention of Irritant Contact Dermatitis Due to Hand Hygiene in The Era of COVID 19 Pandemic
Authors: Nopriyati  , Trilisnawati Damai , Yulia Farida Yahya  , Mutia Devi  , Theresia L. Toruan
Published: October 2020

Irritant contact dermatitis (ICD) is an inflammatory epidermal disorder associated with physical or immunological provocation that results in impaired skin barrier. The prevalence of ICD is found to be 17-30% in healthcare workers compared to general population. The first-line management strategies of ICD is based on prevention. Intensive hand cleansing is one of the causes of ICD. Hand hygiene is general term that refers to any action of hand cleansing. Hand hygiene practices include hand washing and hand rubbing with antiseptics. Hand hygiene is the most effective preventive measure in preventing infection control, especially in the era of coronavirus (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) since December 2019. This disease is transmitted through inhalation or contact with infected droplets. Prevention and mitigation actions are key in controlling infection.
Efficacy of Lidocaine and Ketamine Combination on Reduction of Pain Intensity, Improvement of Functional State and Central Desensitization of Chronic Low Back Pain
Authors: Sugiharto Henry , Hasnawi Haddani  , Yuki Fitria  , Rizal Zainal
Published: October 2020

Abstract

Background: Chronic low back pain (LBP) prevalence is approximately 20% of world population. Central and peripheral sensitization are considered as the main mechanism of pain chronification. This study hypothesize that lidocaine and ketamine combination reduces pain intensity, improves functional state and central desensitization of chronic low back pain. It is  by modulating central sensitization in sub-anesthetic dose, prolonging inactivation of Na-channel, blocking NMDA-receptor and preventing secondary hyperalgesia.

Aim of study: To evaluate the efficacy of lidocaine and ketamine combination on the intensity of pain, functional state and central desensitization of chronic low back pain.

Methods:. This double blind randomized control trial study was carried out in Mohammad Hoesin General Hospital, Palembang, Indonesia from May 2018 to January 2019. A total of 20 patients with low back pain that last for more than 3 months, aged >18 years old, of either sex who were willing to be enrolled in this study, were randomly allocated into one of the two groups of 10 each. The treatment group (n=10) received standardized therapy (analgesic and physiotherapy) + intravenous ketamine 0.5 mg/kg + lidocaine 2 mg/kg and the control group (n=10) received standardized therapy + 100 ml Nacl 0.9%. Pain intensity, functional state, and central desensitization were measured before the treatment, day 7 after treatment, and a month after treatment using Numeric Pain Rating Scale (NPRS), Functional Pain Scale (FPS), and Central Sensitization Inventory (CSI).

Results: The administration of ketamine 0.5 mg/kg + lidocaine 2 mg/kg resulted in NPRS and CSI changes was effective since the 7th day post intervention (p-value=0.021 and p-value=0.001) while on FPS changes, it was effective since the 30th day post intervention (p-value=0.000)

Conclusion: From the result, it could be concluded that the administration of ketamine and lidocaine is effective on decreasing pain intensity and central desensitization in chronic LBP.
Functional Outcome After Neglected Injury In Pediatric Softball Players Measured By Quickdash Score
Authors: Ismiarto Yoyos , Sabdillah FT  , Ramli F  , Luthfi Kemas Abdul Mutholib
Published: October 2020

A B S T R A C T

Introduction : Pediatric softball players are prone to get injured as a result of high forces motions, with improper technique. Low communication and school-age often leads the injury became neglected. The aim of this study is to determine the incidence of Neglected injury in pediatric softball players in Bandung  during a single season year of 2019. Method :  The study was conducted in softball clubs in Bandung. The inclusion is the softball players aged 18 years old or below, grouped into; (1)never injured, (2)neglected injury by non-professional/traditional massage, and (3)untreated neglected injury/rest only. The samples were evaluated with the Quick Disabilities of the Arm Shoulder and Hand outcome questionnaire (QuickDASH). Data was analyzed with Anova test. Result : Among the 50 players, aged from 12 to 18 years old, 36 players (72%) were at group 1, 8 players (16%) were at group 2 and 6 players (12%) were at group 3. Most site of injuries for group 2 are at shoulder (62,5%) and group 3 are at elbow (66,6%). Significant differrences were identified between three groups with p=0.001. The highest quickDASH score are in group 2 (38,6), and the lowest are in group 1 (0,0). Conclussion : All of the quickDASH Score in this group of age are categorized in mild difficulty. Those whom treated by non-professional has lower functional outcome compared to never injured and untreated injured players.
Data De-Duplication Using SHA (Secure Hash Algorithm)
Authors: Kalyani G. , Neethika D.S.L. , Jayasri Ch.
Published: October 2020

Now-a-days the number of users using cloud storage has increased so that the data stored has been increased in exponential rates. The data should be secured and the storage should be used efficiently. But a lot of duplicate data is present as two or more users may upload the same data. To make use of the cloud storage efficiently we have to reduce the redundant data hence improving the resources like storage space, disk I/O operations of the cloud vendors. Data De-Duplication is the process to remove redundant data and store only one instance of duplicate data. The objective of the proposed system is to increase the efficient comparison of hash values of a different data blocks and security of data. This paper includes a method for data deduplication using SHA (Secure Hash Algorithm) and AES. SHA is used as it is more secure than other hashing algorithms. The data is encrypted using AES at owner machine itself and using SHA the redundant data will be eliminated.
Cybernetic Organism for Locomotion towards Paradigm
Authors: Telkar Nagaraj , Naik Prof. Pavankumar , Mabali Akash , S H Girish , S H Gurusiddeshwar , Balikai Sahana
Published: October 2020

Auto collisions have been taking a great many lives every year, dwarfing any savage ailments or cataclysmic events. Studies demonstrate that about 60% roadway crashes could be kept away from if the vehicle’s driver had been given cautioning at any rate one-half second before an impact. Human drivers experience the ill effects of recognition confinements on roadway crisis occasions, bringing about enormous postponement in spreading crisis alerts. Safety on the road is one of the key main impetuses behind the advancement, improvement, institutionalization and execution of ITS frameworks. Proposed system uses VANET Standards (VANET is a Mobile Ad-hoc Network (MANET)’s sibling which can organize its own communication model without any other infrastructure dependence). In this project, considering the different features and the cost, on a small scale a four- wheel vehicular robotic prototype has been designed that will follow the lane and avoid obstacles.
An Intelligent Control Scheme for DFIG Wind Farm to Control the Voltage Fluctuations
Authors: M Bharath.
Published: October 2020

In this project we investigates the control of doubly-fed induction generator (DFIG) based wind farms for compensating voltage fluctuations in weak networks. Under an unbalanced power grid voltage conditions, the DFIG’s stator side active power, reactive power, and electromagnetic torque will generate twice-multiplied frequency pulse quantities. The proposed control methodology exploits the potential of the series-DFIG scheme to avoid that grid voltage unbalances compromise the machine operation, and to compensate voltage unbalances at the point of common coupling (PCC), preventing adverse effects on loads connected next to the PCC. The modeling of the system has been discussed and also the system parameters are plotted. MATLAB Simulink has been used as the tool to evaluate the system. The grid parameter variations are also discussed.
License Plate Recognition
Authors: Ram B. Likith , Sai Teja P. Naga , Kumar Y. Sai Avinash , Raj Ch. Sai
Published: October 2020

License Plate Recognition (LPR) system is an application of computer vision and image processing technology that takes video of vehicles and take the vehicle frame as input image and by extracting their number plate from whole vehicle image, it displays the number plate information into text. The overall accuracy and efficiency of whole LPR system depends on number plate extraction phase as character segmentation and character recognition phases are also depend on the output of this phase. Higher be the quality of captured input vehicle image more will be the chances of proper extraction of vehicle number plate area. The approach used to segment the image is bilateral filtering algorithm and canny edge detection algorithm. Then we predict the license plate from processed image using py–tesseract OCR and match the retrieved text which is vehicle number plate with database. Finally we get the details of the particular vehicle from the database.
Survey on IoT based Machine tools condition analysis With Machine Learning
Authors: Deorankar A. V. , Shegokar Snehal M.
Published: October 2020

Machine condition checking innovation has around for a long time, designed for advancing machine execution and limiting unplanned personal time. Since the appearance of the IoT, nonetheless, there has been development around machine condition observing. An IoT-based model for machine apparatuses condition examination with AI, IoT computerizes and adds knowledge to machine condition checking. In this paper different techniques are studied about machine tools condition analysis and classification. This examination surveys different techniques which are used to classify machine sound data. The center goal is to order the obtained machine sound sign into the comparing machine conditions effectively for example faulty and normal, which is generally a multi- class order issue.
Smart Door Lock/Unlock Using Raspberry Pi
Authors: R Sandesh , Sridhar Avinash , T P Rishikesh , Farheen Saniya , Tameem Sara
Published: October 2020

This paper deals with the proposed system for smart and savvy door lock recognition system which is essentially for identification of human faces and mainly for home security. This is divided into two sub systems. First is image capturing, then comes face detection and recognition and finally automatic door access management. Open CV is mainly used for Face Recognition because it uses Eigen faces which compares the face images and produces it without losing vital face features, facial images of various persons are going to be stored in database. The purpose of the paper is to take face recognition to height which can replace the use of standard passwords, pins and patterns, adding more security to our life. The process carried out by raspberry pi is fast and makes the system work smoother.
Survey on Data Science and Data Scientist
Authors: Karanth Ashwin , Hongal Prakash
Published: October 2020

Data science is a study of extracting, collecting, gathering of the data, representation and protecting the data to be used for business purpose or for other usage like technical and other software related platform. Data science is a combination of database, software, different types of quantitative aptitudes, qualitative aptitudes and non-mathematical abilities. Data Science is study of flow of the information from extremely large amount of data present in an organization. This paper illustrates what is data science, its application and issues which has to be removed. Next session of this paper consists of different analysis regarding to Data Science. Next session of this paper illustrates whole process of Data Science and all the related data research issues for the data science. At the end of the paper author will attempt to investigate the issues, execution and difficulties in data science. We will also look over some possible suggestion which can be considered for further research.
Predicting the Severity of Adverse Drug Reactions
Authors: Sushmitha Ms , Sowmya Ms. , Rao Sushma
Published: October 2020

Polypharmacy, co-prescribing multiple medication, is implausibly common and infrequently ends up in drug interactions that may have adverse facet effects. Currently, to help doctors in prescribing treatments, clinical call systems fireplace alerts once drug mixtures area unit prescribed that have glorious reactions. Those alerts area unit supported drug interaction severity stored in databases like Lexi-Interact. However, Lexi-Interact severity, that is predicated on clinical trials and literature reviews, doesn't embrace all drug interactions tho' there are several prescribed drug mixtures that haven’t been lined by literature. This paper is enforced by coaching a model that has comparatively high accuracy and recall with glorious Lexi-Interact severity values, the goal would be to check it on drug interactions with glorious severity. Specifically, a drug combine would have a foreseen severity so a panel of clinical pharmacists, people acquainted with clinical outcomes of drug interactions, would rate the validity of that foreseen severity. We intend to realize such reactive medication and report them to the doctors.
Implementation of Movie Recommendation System Using Machine Learning
Authors: Sridevi S. , Murnal Celeste
Published: October 2020

As world is evolving, similarly people's desire, trend, interests are also changing. Same way even in the field of movies, people want to watch the movies according to their interest. Many web-based movie service providers have emerged and to increase their business and popularity, they want to keep their subscribers entertained. To improve their business, the service provider should recommend movies which users might like, so that they might watch another movie and be entertained. By doing this there is high possibility that customers will periodically renew the web-based movie service provider application. The objective of this project is to implement the machine learning based movie recommendation system which can recommend the movies to the users based on their interest and ratings. To achieve this, content-based filtering is used to recommend movie based on movie-movie similarity, collaborative based filtering is used to compute features based on user information and movie information. The proposed system uses the new ensemble learning algorithm, XGBoost algorithm to improve the performance. The results show that the proposed system is effective for movie recommendation and the system minimizes the root mean square error (RMSE).
On Wireless Sensor Network Lifetime Prolong and Efficient Routing By Energy Path Balancing
Authors: Vinothini K Asha , S Nandhakumar
Published: October 2020

Remote sensor frameworks (WSN) associations explicit transducers that give distinguishing organizations to Internet of Things (IoT) gadgets with controlled power and limit sources. Since choice or stimulating of batteries in sensor centers is about unreasonable, quality use gets one of the huge structure issues in WSN. Gathering figuring expect a basic activity in power safeguarding for the imperativeness controlled framework. Picking a gathering head can decisively modify the weight inside the framework there by reducing power confirmation and improving lifetime. In this test, we favoring imperativeness careful packing for remote sensor organizes the use of EARR (Energy Aware Routing and Relay Relocation) set of concludes that is applied on the WSN. The show thinks about both power execution and transmission partition, and move center points are used to reduce the lopsided power confirmation of the bundle heads. The proposed show impacts in higher allotted sensors and a suitably balanced bundling contraption improving the system's lifetime. The EARR strategy passes on two shows, which consolidate MCP, based completely EAR and Relay Relocation essentially based EAR. In area I, Transmission go adjusting by the presenting the Maximum Capacity Path based multi ricochet coordinating by using constraining Energy Aware Routing. For the EAR use, need to learn the center points Initial Energy, Residual Energy and Optimum power way. These parameters will ensure the green way and CH levels of leadership to improve the system as a rule execution despite lifetime. The figuring and the reenactment and examine the present R-LEACH and proposed EAR-MCP strategy to the extent throughput, extra quality and inertness with the guide of using NS2 test framework.
Automatic Detection of Bike Riders Without Helmet
Authors: Alekhya K. , Sharmila T. , Roja R.
Published: October 2020

As per Indian scenario, motorcyclists break traffic rules very frequently by not wearing helmet and Indian traffic police is not strict to such riders because of their tedious work. Automatic Detection of Bike Riders without Helmet system is an application of computer vision and image processing technology that takes video of vehicles and take the vehicle frame as input image. This paper presents the technique by which motorcyclists without helmet are detected. In this technique moving vehicles are detected by thresholding and then classified into motorcyclist & non-motorcyclist by area and aspect ratio. To detect helmet first ROI is determined and by cascade classifier without helmet are detected. Finally we get the details of the particular bike rider from the database.
A study On : Confidentiality Approach to Prevent Features Disclosure in IoT Situations
Authors: Junior Osei Frimpong Atta , Gawusu Sidique , Wen Xuezhi , Zheng Yu , Kumah Daniel Appiah
Published: October 2020

This paper proposes an approach which safeguards confidentiality to avoid disclosures of features within a multiple IoT situation, that is, a setup of objects in networks that communicate with each other. Two ideas derived from the theory of databases, namely k-anonymity and t-certitude, form our basis. They are used to cluster the objects to provide a unitary view of them and their characteristics. In fact, the use of anonymity and t-closeness robustly ensures privacy for derived groups. Furthermore, description of the object grouping scheme that preserves privacy, which represents the core of our approach was studied. Eventually, we illustrated the corresponding security model and analyzed the associated properties. The study also provided important advantages for the protection of user privacy in all those situations where knowledge of object features may help an attacker to obtain information about user habits and behavior. This study prevents not only the disclosure of information but also the divulgation of features. This is a major strength of our approach as malicious analyzes of the characteristics of objects can interfere with the privacy of people.
A Review on SEELIFE NGO Website
Authors: Jain Archit , Kathoke Sahil , Khobragade Yash , Deshpande V. V.
Published: October 2020

Many Non-government organizations are working in the country. A non-governmental organization is an organization with no self-profit, group based on the citizen that functions independently of government. NGO activities include, but are not limited to, environmental, social, advocacy, and human rights work. They can work to promote social or political change on a broad scale or very locally. NGOs play a critical part in developing society, improving communities, and promoting citizen participation. This WEB application connects people to various NGOs based on their needs. The application connects people directly to the relevant NGO. The information about various NGOs is given based on their field of operation. If an individual requires the services of or wants to volunteer can directly communicate with NGOs. NGOs can communicate at various levels through this application. If a person or a group wants to be a volunteer in any such NGO, it can do so by registering through this app. And if a person has a query so they can communicate with the help of a chatbot.
Result and Performance Analysis of Rainfall Prediction System Based on Deep Neural Network
Authors: Naik Akshay Rajendra , Deorankar A. V. , Ambhore P. B.
Published: October 2020

Rainfall prediction is useful for all people for decision making in all fields, such as out door gamming, farming, traveling, and factory and for other activities. We studied various methods for rainfall prediction such as machine learning and neural networks. There is various machine learning algorithms are used in previous existing methods such as naïve byes, support vector machines, random forest, decision trees, and ensemble learning methods. We used deep neural network for rainfall prediction, and for optimization of deep neural network Adam optimizer is used for setting modal parameters, as a result our method gives better results as compare to other machine learning methods.
Quality Maintenance and Monitoring using Azure CI pipeline and .Net Technologies
Authors: S Ishwarya , Kuzhalvaimozhi S.
Published: October 2020

The paper is about how the application is maintained and monitored using Azure CI pipeline. Maintaining and monitoring the quality of the software plays an important role in company’s growth and performance. This is achieved using DevOps. Few years back agile methodology was playing a major role in the industry, software were deployed in monthly, quarterly or annual basis, which is time consuming. However, now industries are moving towards DevOps methodology where in the software deployed multiple times a day. This methodology provides the organization to constantly and reliably add new features and automatically deploy them across various platforms or environment in order to gain high performance and quality assurance products. Continuous integration and Continuous delivery/ Continuous deployment are the pillars of DevOps. Continuous integration, Continuous delivery and Continuous deployment are the continuous software development practices of industry. By automating the build, test and deployment of software, CI/CD bridges the space between development and operation teams. This paper also concentrates on how the Test Driven Development features of .Net technologies supports the quality maintenance and monitoring of the application.
Quality of Service (QoS) Optimization in Mobile Broadband Using Cloud-Based Content Delivery Network
Authors: Ayankoya Folasade , Ajayi Olubukola , Ohwo Blaise
Published: October 2020

Mobile broadband utilizing Long-Term Evolution (LTE) has advanced the field of data transmission; with networks capable of providing broadband speeds to mobile broadband users. There has been a sporadic increase in the utilization of Long-Term Evolution (LTE) networks, but due to the rapid growth and utilization of network links and network services, certain issues begin to rise, such as the issue of poor Quality of Service (QoS) perceived by mobile users. Data network quality of service degrades over time when network cannot keep up with the growing demand for the network resources. The research reviewed various existing content delivery network models in order to understand the overall architecture and operations. An optimized model was developed and integrated into the existing Long-Term Evolution network models. The model was evaluated using the Network Simulator (NS-3) and Quality of Service (QoS) metrics, such as, Network Throughput, Round Trip Time, Bandwidth, Packet Loss, Jitter and Connection Ratio. The results obtained from the simulations showed that the optimized model performed better and more efficiently than previous solutions. And if implemented in Mobile Broadband, this will improve the Quality of Service, network throughput and overall performance of the network. This study concluded that cloud-based content delivery network provides a solution which would help improve the Quality of Service experience by Mobile Broadband subscribers. By actively redirecting network traffic to the nearest replica server on the network edge; thus, increasing efficiency and throughput.
A Survey Paper on Image forgery detection Using Pseudo Zernike Moment
Authors: Patel Brijesh , Degadwala Sheshang
Published: October 2020

Photographs are taken as valid evidences in various scenarios of our day to day life. Because of the developments in the field of Image Processing, altering images according to ones need is not a difficult task. Techniques of Image Forensics play its crucial role at this juncture. One of the mostly found types of image tampering is Copy-Move forgery. A copy-move forgery is performed by copying a region in an image and pasting it on another region in the same image, mostly after some form of post-processing like rotation, scaling, blurring, noise addition, JPEG compression etc. Two types of copy-move forgery detection techniques exist in literature. They are the Block based methods and Key-point based methods. Both the methods have their own advantages and limitations. This paper presents a survey on the recent developments in block based methods. As forgeries have become popular, the importance of forgery detection is much increased. Copy-move forgery, one of the most commonly used methods, copies a part of the image and pastes it into another part of the image. In this paper, we propose a detection method of copy-move forgery that localizes duplicated regions using Zernike moments. Since the magnitude of Zernike moments is algebraically invariant against rotation, the proposed method can detect a forged region even though it is rotated. Our scheme is also resilient to the intentional distortions such as additive white Gaussian noise, JPEG compression, and blurring. Experimental results demonstrate that the proposed scheme is appropriate to identify the forged region by copy-rotate-move forgery.
Doctor Advisor by Using Android Studio
Authors: Radhika R. , Koushik D. Sai , Chandra CH.Vijay
Published: October 2020

The main idea behind the developing of this app is to provide the prescriptions for the end users related to their diseases. If the prescriptions not available in the database for that disease in the app, it suggests the end user to visit the hospital, which are nearer to the user by providing locations of nearby Hospitals. The primary goal of this project is to identify the disease according to the symptoms given by the user (Patient).
Secure Voice Control IOT Device
Authors: Mathew Johnson , Potdar Divyeshree , Sankhe Nehal , Khairnar Kajal
Published: October 2020

The world is moving fastly towards automation. People have less time to handle any work so automation is simple way to handle any device or machine will work to our desire. This paper aim is to develop and design a Home automation using Arduino with Bluetooth module. Home automation system gives a simple and reliable technology with Android application. Home appliances like fan, Bulb, AC, automatic door lock are controlled by Home automation system using Arduino Uno with Bluetooth module. The paper mainly focuses on the monitor and control of smart home by Andorid phone and provide a security based smart home, when the people does not present at home. This paper motive is controlled home appliances in smart home with user friendly, design at low cost, simple installation.
Audio and Video Steganography for Secure Data Hiding
Authors: Swathi Ms , A V Supriya , Shridhar Patgar Soundarya
Published: October 2020

Today, the protection is getting the imperative interest due to the elevated use of internet. As the use of internet is increased, the charge at which the records are interchanged per day is additionally increased. The data that is interchanged every day might also turn out to be the target of fraudsters. To take action to do something in particular to resolve this hassle one of the powerful technology is the Steganography. The Steganography is a process of concealing secret information behind an harmless cover file, such that the existence of information is no longer usually admitted. This paper uses the idea of Audio and Video Steganography, where the data is hidden behind the audios and frames of videos.
Water usage Control and Management Based on IoT
Authors: Panjwani Arish , Chand Swati , More Ajay , Panjwani Rushabh
Published: October 2020

Water is the most important factor that contributes to the survival as well as the wellbeing of mankind. Keeping in mind the current scenario, a lot of water is used by household even in places where less water can work. This in turn leads to shortage of water making water cut necessary. The water bill that every owner receives is a constant one included in Maintenance Bill. Our idea is to detect the usage of water by individual flats and bill them accordingly using IOT sensors. Also, the owner will be kept updated in real time about their water usage via an android app. Thus, they can track their usage and avoid wastage of water to reduce their bill. Another advantage of the real time water usage tracking would be that if in case some tap is left open by mistake for a longer time than usual the sensor would sense a continuous water flow and send an alert to the mobile application. This would avoid unnecessary wastage of water. It will also provide an internet-enabled locking mechanism in the main source pipe which can be turned ON/OFF remotely from the android app. Thus, in scenarios where water tap is left open by mistakenly while leaving the house, an excess continuous water flow would trigger an alert in the app thus making the owner aware of the situation and he/she can turn the source pipe off from the mobile application. Also, the water quality information would be updated in app so as to ensure better health of the residents.